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Displaying 1-50 out of 77 total
W4: Real-Time Surveillance of People and Their Activities
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ismail Haritaoglu, David Harwood, Larry S. Davis
Issue Date:August 2000
pp. 809-830
<p><b>Abstract</b>—<tmath>$W^4$</tmath> is a real time visual surveillance system for detecting and tracking multiple people and monitoring their activities in an outdoor environment. It operates on monocular gray-scale video ...
 
Object Tracking at Multiple Levels of Spatial Resolutions
Found in: Image Analysis and Processing, International Conference on
By Son D. Tran, Larry S. Davis
Issue Date:September 2007
pp. 149-154
Tracking is usually performed at a single level of data resolution. This paper describes a multi-resolution tracking framework developed with efficiency and robustness in mind. Efficiency is achieved by processing low resolution data whenever possible. Rob...
 
Bilattice-based Logical Reasoning for Human Detection
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Vinay D. Shet, Jan Neumann, Visvanathan Ramesh, Larry S. Davis
Issue Date:June 2007
pp. 1-8
The capacity to robustly detect humans in video is a critical component of automated visual surveillance systems. This paper describes a bilattice based logical reasoning approach that exploits contextual information and knowledge about interactions betwee...
 
Detecting Rotational Symmetries
Found in: Computer Vision, IEEE International Conference on
By V. Shiv Naga Prasad, Larry S. Davis
Issue Date:October 2005
pp. 954-961
We present an algorithm for detecting multiple rotational symmetries in natural images. Given an image, its gradient magnitude field is computed, and information from the gradients is spread using a diffusion process in the form of a Gradient Vector Flow (...
 
Shape Matching Using Relaxation Techniques
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Larry S. Davis
Issue Date:January 1979
pp. 60-72
The problem of finding approximate matches of pieces of shapes to parts of larger shapes is investigated. The shapes are represented by polygonal approximations. Initially, figures of merit are assigned to the matches between pairs of angles on the two sha...
 
Multimodal Tracking for Smart Videoconferencing and Video Surveillance
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Dmitry N. Zotkin, Vikas C. Raykar, Ramani Duraiswami, Larry S. Davis
Issue Date:June 2007
pp. 1-2
Many applications require the ability to track the 3-D motion of the subjects. We build a particle filter based framework for multimodal tracking using multiple cameras and multiple microphone arrays. In order to calibrate the resulting system, we propose ...
 
Domain adaptive object detection
Found in: 2013 IEEE Workshop on Applications of Computer Vision (WACV)
By Fatemeh Mirrashed,Vlad I. Morariu,Behjat Siddiquie,Rogerio S. Feris,Larry S. Davis
Issue Date:January 2013
pp. 323-330
We study the use of domain adaptation and transfer learning techniques as part of a framework for adaptive object detection. Unlike recent applications of domain adaptation work in computer vision, which generally focus on image classification, we explore ...
 
Vehicle Detection Using Partial Least Squares
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Aniruddha Kembhavi, David Harwood, Larry S. Davis
Issue Date:June 2011
pp. 1250-1265
Detecting vehicles in aerial images has a wide range of applications, from urban planning to visual surveillance. We describe a vehicle detector that improves upon previous approaches by incorporating a very large and rich set of image descriptors. A new f...
 
Efficient Recovery of Shape from Texture
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Larry S. Davis,Ludvik Janos,Stanley M. Dunn
Issue Date:May 1983
pp. 485-492
Witkin proposed a maximum likelihood model for the recovery of surface orientation from image texture. We develop two efficient algorithms for solving this shape from texture problem and compare the results of these algorithms with the algorithm described ...
 
A complementary local feature descriptor for face identification
Found in: Applications of Computer Vision, IEEE Workshop on
By Jonghyun Choi,William Robson Schwartz,Huimin Guo,Larry S. Davis
Issue Date:January 2012
pp. 121-128
In many descriptors, spatial intensity transforms are often packed into a histogram or encoded into binary strings to be insensitive to local misalignment and compact. Discriminative information, however, might be lost during the process as a trade-off. To...
 
Action recognition using ballistic dynamics
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Shiv N. Vitaladevuni, Vili Kellokumpu, Larry S. Davis
Issue Date:June 2008
pp. 1-8
We present a Bayesian framework for action recognition through ballistic dynamics. Psycho-kinesiological studies indicate that ballistic movements form the natural units for human movement planning. The framework leads to an efficient and robust algorithm ...
 
Learning Higher-order Transition Models in Medium-scale Camera Networks
Found in: Computer Vision, IEEE International Conference on
By Ryan Farrell, David Doermann, Larry S. Davis
Issue Date:October 2007
pp. 1-8
We present a Bayesian framework for learning higher-order transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the network and have a greater predictive power for multi-camera tracking than ...
 
Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Zhuolin Jiang, Zhe Lin,Larry S. Davis
Issue Date:March 2012
pp. 533-547
A shape-motion prototype-based approach is introduced for action recognition. The approach represents an action as a sequence of prototypes for efficient and flexible action matching in long video sequences. During training, an action prototype tree is lea...
 
Texture Analysis Using Generalized Co-Occurrence Matrices
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Larry S. Davis,Steven A. Johns,J. K. Aggarwal
Issue Date:March 1979
pp. 251-259
We present a new approach to texture analysis based on the spatial distribution of local features in unsegmented textures. The textures are described using features derived from generalized co-occurrence matrices (GCM). A GCM is determined by a spatial con...
 
Recording and Reproducing High Order Surround Auditory Scenes for Mixed and Augmented Reality
Found in: Mixed and Augmented Reality, IEEE / ACM International Symposium on
By Zhiyun Li, Ramani Duraiswami, Larry S. Davis
Issue Date:November 2004
pp. 240-249
Virtual reality systems are largely based on computer graphics and vision technologies. However, sound also plays an important role in human's interaction with the surrounding environment, especially for the visually impaired people. In this paper, we will...
 
Probabilistic Framework for Segmenting People Under Occlusion
Found in: Computer Vision, IEEE International Conference on
By Ahmed M. Elgammal, Larry S. Davis
Issue Date:July 2001
pp. 145
In this paper we address the problem of segmenting foreground regions corresponding to a group of people given models of their appearance that were initialized before occlusion. We present a general framework that uses maximum likelihood estimation to esti...
 
Hierarchical Constraint Processes for Shape Analysis
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Larry S. Davis,Thomas C. Henderson
Issue Date:March 1981
pp. 265-277
A major application of syntactic pattern recognition is the analysis of two-dimensional shape. This paper describes a new syntactic shape analysis technique which combines the constraint propagation techniques which have been so successful in computer visi...
 
Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Zhe Lin, Larry S. Davis
Issue Date:April 2010
pp. 604-618
We propose a shape-based, hierarchical part-template matching approach to simultaneous human detection and segmentation combining local part-based and global shape-template-based schemes. The approach relies on the key idea of matching a part-template tree...
 
Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Abhinav Gupta, Aniruddha Kembhavi, Larry S. Davis
Issue Date:October 2009
pp. 1775-1789
Interpretation of images and videos containing humans interacting with different objects is a daunting task. It involves understanding scene/event, analyzing human movements, recognizing manipulable objects, and observing the effect of the human movement o...
 
COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes
Found in: Computer Vision, IEEE International Conference on
By Abhinav Gupta, Anurag Mittal, Larry S. Davis
Issue Date:October 2007
pp. 1-8
Development of multiple camera based vision systems for analysis of dynamic objects such as humans is challenging due to occlusions and similarity in the appearance of a person with the background and other people- visual
 
Window-Based, Discontinuity Preserving Stereo
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Motilal Agrawal, Larry S. Davis
Issue Date:July 2004
pp. 66-73
Traditionally, the problem of stereo matching has been addressed either by a local window-based approach or a dense pixel-based approach using global optimization. In this paper, we present an algorithm which combines window-based local matching into a glo...
 
What Can Projections of Flow Fields Tell Us About the Visual Motion
Found in: Computer Vision, IEEE International Conference on
By Sándor Fejes, Larry S. Davis
Issue Date:January 1998
pp. 979
The dimensionality of visual motion analysis can be reduced by analyzing projections of flow vector fields. In contrast to motion vector fields, these projections exhibit simple geometric properties which are invariant to the scene structure and depend onl...
 
Parallel Algorithms for Image Enhancement and Segmentation by Region Growing with an Experimental Study
Found in: Parallel Processing Symposium, International
By David A. Bader, Joseph JaJa, David Harwood, and Larry S. Davis
Issue Date:April 1996
pp. 414
This paper presents efficient and portable implementations of a useful image enhancement process, the Symmetric Neighborhood Filter (SNF), and an image segmentation technique which makes use of the SNF and a variant of the conventional connected components...
 
Density-Based Multifeature Background Subtraction with Support Vector Machine
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Bohyung Han,Larry S. Davis
Issue Date:May 2012
pp. 1017-1023
Background modeling and subtraction is a natural technique for object detection in videos captured by a static camera, and also a critical preprocessing step in various high-level computer vision applications. However, there have not been many studies conc...
 
Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance
Found in: Computer Vision, IEEE International Conference on
By Ryan Farrell,Om Oza, Ning Zhang,Vlad I. Morariu,Trevor Darrell,Larry S. Davis
Issue Date:November 2011
pp. 161-168
Subordinate-level categorization typically rests on establishing salient distinctions between part-level characteristics of objects, in contrast to basic-level categorization, where the presence or absence of parts is determinative. We develop an approach ...
 
Face verification using large feature sets and one shot similarity
Found in: Biometrics, International Joint Conference on
By Huimin Guo,William Robson Schwartz,Larry S. Davis
Issue Date:October 2011
pp. 1-8
We present a method for face verification that combines Partial Least Squares (PLS) and the One-Shot similarity model[28]. First, a large feature set combining shape, texture and color information is used to describe a face. Then PLS is applied to reduce t...
 
Learning Discriminative Appearance-Based Models Using Partial Least Squares
Found in: Graphics, Patterns and Images, SIBGRAPI Conference on
By William Robson Schwartz, Larry S. Davis
Issue Date:October 2009
pp. 322-329
Appearance information is essential for applications such as tracking and people recognition. One of the main problems of using appearance-based discriminative models is the ambiguities among classes when the number of persons being considered increases. T...
 
A Logic Framework for Sports Video Summarization Using Text-Based Semantic Annotation
Found in: Semantic Media Adaptation and Personalization, International Workshop on
By Mohammed A. Refaey, Wael Abd-Almageed, Larry S. Davis
Issue Date:December 2008
pp. 69-75
Detection of semantic events in sports videos is an essential step towards video summarization. A large volume of research has been conducted for automatic semantic event detection and summarization of sports videos. In this paper we present a novel sports...
 
Context and observation driven latent variable model for human pose estimation
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Abhinav Gupta, Trista Chen, Francine Chen, Don Kimber, Larry S. Davis
Issue Date:June 2008
pp. 1-8
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human pose from image observations, they are computationally expensive due to sear...
 
Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. Davis
Issue Date:May 2009
pp. 919-930
Particle filtering is frequently used for visual tracking problems since it provides a general framework for estimating and propagating probability density functions for nonlinear and non-Gaussian dynamic systems. However, this algorithm is based on a Mont...
 
Tracking Down Under: Following the Satin Bowerbird
Found in: Applications of Computer Vision, IEEE Workshop on
By Aniruddha Kembhavi, Ryan Farrell, Yuancheng Luo, David Jacobs, Ramani Duraiswami, Larry S. Davis
Issue Date:January 2008
pp. 1-7
Sociobiologists collect huge volumes of video to study animal behavior (our collaborators work with 30,000 hours of video). The scale of these datasets demands the development of automated video analysis tools. Detecting and tracking animals is a critical ...
 
An Interactive Approach to Pose-Assisted and Appearance-based Segmentation of Humans
Found in: Computer Vision, IEEE International Conference on
By Zhe Lin, Larry S. Davis, David Doermann, Daniel DeMenthon
Issue Date:October 2007
pp. 1-8
An interactive human segmentation approach is described. Given regions of interest provided by users, the approach iteratively estimates segmentation via a generalized EM algorithm. Specifically, it encodes both spatial and color information in a nonparame...
 
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
Found in: Computer Vision, IEEE International Conference on
By Bohyung Han, Seong-Wook Joo, Larry S. Davis
Issue Date:October 2007
pp. 1-8
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multiple sensors by the simple product of individual likelihoods. Therefore, the num...
 
Hierarchical Part-Template Matching for Human Detection and Segmentation
Found in: Computer Vision, IEEE International Conference on
By Zhe Lin, Larry S. Davis, David Doermann, Daniel DeMenthon
Issue Date:October 2007
pp. 1-8
Local part-based human detectors are capable of handling partial occlusions efficiently and modeling shape articulations flexibly, while global shape template-based human detectors are capable of detecting and segmenting human shapes simultaneously. We des...
 
Human Appearance Change Detection
Found in: Image Analysis and Processing, International Conference on
By Nagia M. Ghanem, Larry S. Davis
Issue Date:September 2007
pp. 536-541
We present a machine learning approach to detect changes in human appearance between instances of the same person that may be taken with different cameras, but over short periods of time. For each video sequence of the person, we approximately align each f...
 
Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. Davis
Issue Date:July 2008
pp. 1186-1197
Visual features are commonly modeled with probability density functions in computer vision problems, but current methods such as a mixture of Gaussians and kernel density estimation suffer from either the lack of flexibility, by fixing or limiting the numb...
 
Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Abhinav Gupta, Anurag Mittal, Larry S. Davis
Issue Date:March 2008
pp. 493-506
Automatic initialization and tracking of human pose is an important task in visual surveillance. We present a part-based approach that incorporates a variety of constraints in a unified framework. These constraints include the kinematic constraints between...
 
Objects in Action: An Approach for Combining Action Understanding and Object Perception
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Abhinav Gupta, Larry S. Davis
Issue Date:June 2007
pp. 1-8
Analysis of videos of human-object interactions involves understanding human movements, locating and recognizing objects and observing the effects of human movements on those objects. While each of these can be conducted independently, recognition improves...
 
Semi-Parametric Model-Based Clustering for DNA Microarray Data
Found in: Pattern Recognition, International Conference on
By Bohyung Han, Larry S. Davis
Issue Date:August 2006
pp. 324-327
Various clustering methods have been proposed for the analysis of gene expression data, but conventional clustering algorithms have several critical limitations; how to set parameters such as number of clusters, initial cluster centers, and so on. In this ...
 
Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions
Found in: 3D Data Processing Visualization and Transmission, International Symposium on
By Abhinav Gupta, Anurag Mittal, Larry S. Davis
Issue Date:June 2006
pp. 900-907
Detection of articulated objects such as humans is an important task in computer vision. We present a system that incorporates a variety of constraints in a unified multi-view framework to automatically detect humans in possibly crowded scenes. These const...
 
Parametric Hand Tracking for Recognition of Virtual Drawings
Found in: Computer Vision Systems, International Conference on
By Afshin Sepehri, Yaser Yacoob, Larry S. Davis
Issue Date:January 2006
pp. 6
A hand tracking system for recognition of virtual spatial drawings is presented. Using a stereo camera, the 3D position of the hand in space is estimated. Then, by tracking the central region of the hand in 3D and estimating a virtual plane in space, the i...
 
Closely Coupled Object Detection and Segmentation
Found in: Computer Vision, IEEE International Conference on
By Liang Zhao, Larry S. Davis
Issue Date:October 2005
pp. 454-461
We propose a closely coupled object detection and segmentation algorithm for enhancing both processes in a cooperative and iterative manner. Figure-ground segmentation reduces the effect of background clutter on template matching; the matched template prov...
 
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios
Issue Date:June 2005
pp. 1071-1078
Background modeling and subtraction to detect new or moving objects in a scene is an important component of many intelligent video applications. Compared to a single camera, the use of multiple cameras leads to better handling of shadows, specularities and...
 
Iterative Figure-Ground Discrimination
Found in: Pattern Recognition, International Conference on
By Liang Zhao, Larry S. Davis
Issue Date:August 2004
pp. 67-70
Figure-ground discrimination is an important problem in computer vision. Previous work usually assumes that the color distribution of the figure can be described by a low dimensional parametric model such as a mixture of Gaussians. However, such approach h...
 
An Efficient and Robust Human Classification Algorithm using Finite Frequencies Probing
Found in: Computer Vision and Pattern Recognition Workshop
By Yang Ran, Isaac Weiss, Qinfen Zheng, Larry S. Davis
Issue Date:July 2004
pp. 132
This paper describes a periodicity motion detection based object classification algorithm for infrared videos. Given a detected and tracked object, the goal is to analyze the periodic signature of its motion pattern. We propose an efficient and robust solu...
 
Efficient Kernel Density Estimation Using the Fast Gauss Transform with Applications to Color Modeling and Tracking
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ahmed Elgammal, Ramani Duraiswami, Larry S. Davis
Issue Date:November 2003
pp. 1499-1504
<p><b>Abstract</b>—Many vision algorithms depend on the estimation of a probability density function from observations. Kernel density estimation techniques are quite general and powerful methods for this problem, but have a significant d...
 
Camera calibration using spheres: A semi-definite programming approach
Found in: Computer Vision, IEEE International Conference on
By Motilal Agrawal, Larry S. Davis
Issue Date:October 2003
pp. 782
Vision algorithms utilizing camera networks with a common field of view are becoming increasingly feasible and important. Calibration of such camera networks is a challenging and cumbersome task. The current approaches for calibration using planes or a kno...
 
A Scalable Image-Based Multi-Camera Visual Surveillance System
Found in: Advanced Video and Signal Based Surveillance, IEEE Conference on
By Ser-Nam Lim, Larry S. Davis, Ahmed Elgammal
Issue Date:July 2003
pp. 205
We describe the design of a scalable and wide coverage visual surveillance system. Scalability (the ability to easily add and remove cameras during system operation with minimal overhead and system degradation) is achieved by utilizing only image-based inf...
 
Probabilistic Tracking in Joint Feature-Spatial Spaces
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ahmed Elgammal, Ramani Duraiswami, Larry S. Davis
Issue Date:June 2003
pp. 781
In this paper we present a probabilistic framework for tracking regions based on their appearance. We exploit the feature-spatial distribution of a region representing an object as a probabilistic constraint to track that region over time. The tracking is ...
 
Learning Dynamics for Exemplar-based Gesture Recognition
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ahmed Elgammal, Vinay Shet, Yaser Yacoob, Larry S. Davis
Issue Date:June 2003
pp. 571
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in exemplar paradigm, HMM states are typically coupled with the exemplars. Alter...
 
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