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Displaying 1-50 out of 91 total
3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework
Found in: Pattern Recognition, International Conference on
By Zhaoxiang Zhang, Kaiqi Huang, Tieniu Tan, Yunhong Wang
Issue Date:August 2010
pp. 1771-1774
We address the problem of 3D model based vehicle tracking from monocular videos of calibrated traffic scenes. A 3D wire-frame model is set up as prior information and an efficient fitness evaluation method based on image gradients is introduced to estimate...
 
Iris Matching Based on Personalized Weight Map
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Wenbo Dong, Zhenan Sun, Tieniu Tan
Issue Date:September 2011
pp. 1744-1757
Iris recognition typically involves three steps, namely, iris image preprocessing, feature extraction, and feature matching. The first two steps of iris recognition have been well studied, but the last step is less addressed. Each human iris has its unique...
 
Toward Accurate and Fast Iris Segmentation for Iris Biometrics
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Zhaofeng He, Tieniu Tan, Zhenan Sun, Xianchao Qiu
Issue Date:September 2009
pp. 1670-1684
Iris segmentation is an essential module in iris recognition because it defines the effective image region used for subsequent processing such as feature extraction. Traditional iris segmentation methods often involve an exhaustive search of a large parame...
 
Semi-supervised Learning on Semantic Manifold for Event Analysis in Dynamic Scenes
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Lun Xin, Tieniu Tan
Issue Date:June 2007
pp. 1-8
Events can be considered as obvious changes of important properties with semantic meanings. Usually, all these properties are measurable and continual in complex formats and higher dimensions. It is hard to define and measure semantic events on the origina...
 
Human Activity Recognition Based on R Transform
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ying Wang, Kaiqi Huang, Tieniu Tan
Issue Date:June 2007
pp. 1-8
This paper addresses human activity recognition based on a new feature descriptor. For a binary human silhouette, an extended radon transform, R transform, is employed to represent low-level features. The advantage of the R transform lies in its low comput...
 
Iris Localization via Pulling and Pushing
Found in: Pattern Recognition, International Conference on
By Zhaofeng He, Tieniu Tan, Zhenan Sun
Issue Date:August 2006
pp. 366-369
Iris localization is a critical module in iris recognition because it defines the inner and outer boundaries of iris region used for feature analysis. State-of-the-art iris localization methods need to implement a bruteforce search of the large parameter s...
 
An Iris Image Synthesis Method Based on PCA and Super-Resolution
Found in: Pattern Recognition, International Conference on
By Jiali Cui, Yunhong Wang, JunZhou Huang, Tieniu Tan, Zhenan Sun
Issue Date:August 2004
pp. 471-474
It is very important for the performance evaluation of iris recognition algorithms to construct very large iris databases. However, limited by the real conditions, there are no very large common iris databases now. In this paper, an iris image synthesis me...
 
Recognizing Night Walkers Based on One Pseudoshape Representation of Gait
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
Issue Date:June 2007
pp. 1-8
Gait is a promising biometric cue which can facilitate the recognition of human beings, particularly when other biometrics are unavailable. Existing work for gait recognition, however, lays more emphasis on the problem of daytime walker recognition and ove...
 
Efficient Night Gait Recognition Based on Template Matching
Found in: Pattern Recognition, International Conference on
By Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
Issue Date:August 2006
pp. 1000-1003
Gait is a useful biometric which can be used to recognize people at a distance when other biometrics are incapable. However, most work on gait recognition has been visible spectrum-oriented over the past decade, ignoring recognition at night which is in re...
 
A Framework for Evaluating the Effect of View Angle, Clothing and Carrying Condition on Gait Recognition
Found in: Pattern Recognition, International Conference on
By Shiqi Yu, Daoliang Tan, Tieniu Tan
Issue Date:August 2006
pp. 441-444
Gait recognition has gained increasing interest from researchers, but there is still no standard evaluation method to compare the performance of different gait recognition algorithms. In this paper, a framework is proposed in an attempt to tackle this prob...
 
Robust Recovery of Corrupted Low-RankMatrix by Implicit Regularizers
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ran He, Tieniu Tan, Liang Wang
Issue Date:April 2014
pp. 770-783
Low-rank matrix recovery algorithms aim to recover a corrupted low-rank matrix with sparse errors. However, corrupted errors may not be sparse in real-world problems and the relationship between ℓ 1 regularizer on noise and robust M-estimators is still unk...
 
Learning Coupled Feature Spaces for Cross-Modal Matching
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Kaiye Wang,Ran He,Wei Wang,Liang Wang,Tieniu Tan
Issue Date:December 2013
pp. 2088-2095
Cross-modal matching has recently drawn much attention due to the widespread existence of multimodal data. It aims to match data from different modalities, and generally involves two basic problems: the measure of relevance and coupled feature selection. M...
 
Robust Subspace Clustering via Half-Quadratic Minimization
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Yingya Zhang,Zhenan Sun,Ran He,Tieniu Tan
Issue Date:December 2013
pp. 3096-3103
Subspace clustering has important and wide applications in computer vision and pattern recognition. It is a challenging task to learn low-dimensional subspace structures due to the possible errors (e.g., noise and corruptions) existing in high-dimensional ...
 
Tracking Blurred Object with Data-Driven Tracker
Found in: 2012 9th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
By Jianwei Ding,Kaiqi Huang,Tieniu Tan
Issue Date:September 2012
pp. 331-336
Motion blur is very common in the low quality of image sequences and videos captured by low speed of cameras. Object tracking without accounting for the motion blur would easily fail in these kinds of videos. We propose a new data-driven tracker in the par...
 
Baseline Results for Violence Detection in Still Images
Found in: 2012 9th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
By Dong Wang,Zhang Zhang,Wei Wang,Liang Wang,Tieniu Tan
Issue Date:September 2012
pp. 54-57
Recognizing objectionable content draws more and more attention nowadays given the rapid proliferation of images and videos on the Internet. Although there are some investigations about violence video detection and pornographic information filtering, very ...
 
CLUMOC: Multiple Motion Estimation by Cluster Motion Consensus
Found in: 2012 9th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
By Yinan Yu,Weiqiang Ren,Yongzhen Huang,Kaiqi Huang,Tieniu Tan
Issue Date:September 2012
pp. 172-177
In this paper, we present techniques for robust multiple motions estimation based on dual consensus via clustering in both the image spatial space and the motion parameter space. Starting from traditional Random Samples Consensus algorithm, we novelly prop...
 
l2, 1 Regularized correntropy for robust feature selection
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Ran He, Tieniu Tan, Liang Wang, Wei-Shi Zheng
Issue Date:June 2012
pp. 2504-2511
In this paper, we study the problem of robust feature extraction based on l 2 , 1 regularized correntropy in both theoretical and algorithmic manner. In theoretical part, we point out that an l 2 , 1 -norm minimization can be justified from the viewpoint o...
 
Exploring DCT coefficient quantization effect for image tampering localization
Found in: Information Forensics and Security, IEEE International Workshop on
By Wei Wang,Jing Dong,Tieniu Tan
Issue Date:December 2011
pp. 1-6
In this paper, we focus on image tampering detection and tampered region localization. We find that the probability distributions of the DCT coefficients of a JEPG image will be influenced by tampering operation. Hence, we model the distributions of AC DCT...
 
Graph modeling based local descriptor selection via a hierarchical structure for biometric recognition
Found in: Biometrics, International Joint Conference on
By Xiaobo Zhang,Zhenan Sun,Tieniu Tan
Issue Date:October 2011
pp. 1-6
Local descriptor based image representation is widely used in biometrics and has achieved promising results. We usually extract the most distinctive local descriptors for image sparse representation due to the large feature space and the redundancy among l...
 
Recovery of corrupted low-rank matrices via half-quadratic based nonconvex minimization
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ran He, Zhenan Sun, Tieniu Tan, Wei-Shi Zheng
Issue Date:June 2011
pp. 2889-2896
Recovering arbitrarily corrupted low-rank matrices arises in computer vision applications, including bioinformatic data analysis and visual tracking. The methods used involve minimizing a combination of nuclear norm and l^1 norm. We show that by replacing ...
 
Exploring relations of visual codes for image classification
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Yongzhen Huang, Kaiqi Huang, Chong Wang, Tieniu Tan
Issue Date:June 2011
pp. 1649-1656
The classic Bag-of-Features (BOF) model and its extensional work use a single value to represent a visual code. This strategy ignores the relation of visual codes. In this paper, we explore this relation and propose a new algorithm for image classification...
 
Salient coding for image classification
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Yongzhen Huang, Kaiqi Huang, Yinan Yu, Tieniu Tan
Issue Date:June 2011
pp. 1753-1760
The codebook based (bag-of-words) model is a widely applied model for image classification. We analyze recent coding strategies in this model, and find that saliency is the fundamental characteristic of coding. The saliency in coding means that if a visual...
 
Boosted local structured HOG-LBP for object localization
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Junge Zhang, Kaiqi Huang, Yinan Yu, Tieniu Tan
Issue Date:June 2011
pp. 1393-1400
Object localization is a challenging problem due to variations in object's structure and illumination. Although existing part based models have achieved impressive progress in the past several years, their improvement is still limited by low-level feature ...
 
Contact Lens Detection Based on Weighted LBP
Found in: Pattern Recognition, International Conference on
By Hui Zhang, Zhenan Sun, Tieniu Tan
Issue Date:August 2010
pp. 4279-4282
Spoof detection is a critical function for iris recognition because it reduces the risk of iris recognition systems being forged. Despite various counterfeit artifacts, cosmetic contact lens is one of the most common and difficult to detect. In this paper,...
 
Hierarchical Fusion of Face and Iris for Personal Identification
Found in: Pattern Recognition, International Conference on
By Xiaobo Zhang, Zhenan Sun, Tieniu Tan
Issue Date:August 2010
pp. 217-220
Most existing face and iris fusion schemes are concerned about improving performance on good quality images under controlled environments. In this paper, we propose a hierarchical fusion scheme for low quality images under uncontrolled situations. In the t...
 
Recovering the Topology of Multiple Cameras by Finding Continuous Paths in a Trellis
Found in: Pattern Recognition, International Conference on
By Yinghao Cai, Kaiqi Huang, Tieniu Tan, Matti Pietikäinen
Issue Date:August 2010
pp. 3541-3544
In this paper, we propose an unsupervised method for recovering the topology of multiple cameras with non-overlapping fields of view. The nodes in the topology graph are defined as entry/exit zones in each camera while the connectivity between nodes is inf...
 
Visual tracking via incremental self-tuning particle filtering on the affine group
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Min Li, Wei Chen, Kaiqi Huang, Tieniu Tan
Issue Date:June 2010
pp. 1315-1322
We propose an incremental self-tuning particle filtering (ISPF) framework for visual tracking on the affine group. SIFT (Scale Invariant Feature Transform) like descriptors are used as basic features, and IPCA (Incremental Principle Component Analysis) is ...
 
An Extended Grammar System for Learning and Recognizing Complex Visual Events
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Zhang Zhang, Tieniu Tan, Kaiqi Huang
Issue Date:February 2011
pp. 240-255
For a grammar-based approach to the recognition of visual events, there are two major limitations that prevent it from real application. One is that the event rules are predefined by domain experts, which means huge manual cost. The other is that the commo...
 
Hierarchical Shape Primitive Features for Online Text-independent Writer Identification
Found in: Document Analysis and Recognition, International Conference on
By Bangy Li, Zhenan Sun, Tieniu Tan
Issue Date:July 2009
pp. 986-990
This paper proposes a novel method to text-independent writer identification from online handwriting. The main contributions of our method include two parts: shape primitive representation and hierarchical structure. Both shape primitive's features are dev...
 
Online Text-independent Writer Identification Based on Temporal Sequence and Shape Codes
Found in: Document Analysis and Recognition, International Conference on
By Bangy Li, Tieniu Tan
Issue Date:July 2009
pp. 931-935
In this paper we present a novel method for online text-independent writer identification. Most of the existing writer identification techniques require the data to be from a specific text which is not applicable to cases where such text is not available, ...
 
Ordinal Measures for Iris Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Zhenan Sun, Tieniu Tan
Issue Date:December 2009
pp. 2211-2226
Images of a human iris contain rich texture information useful for identity authentication. A key and still open issue in iris recognition is how best to represent such textural information using a compact set of features (iris features). In this paper, we...
 
Boosting ordinal features for accurate and fast iris recognition
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu, Cheng Zhong, Wenbo Dong
Issue Date:June 2008
pp. 1-8
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris representation method based on regional ordinal measure encoding is presented, which ...
 
Enhanced biologically inspired model
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dacheng Tao, Tieniu Tan, Xuelong Li
Issue Date:June 2008
pp. 1-8
It has been demonstrated by Serre et al. that the biologically inspired model (BIM) is effective for object recognition. It outperforms many state-of-the-art methods in challenging databases. However, BIM has the following three problems: a very heavy comp...
 
Practical camera auto-calibration based on object appearance and motion for traffic scene visual surveillance
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Zhaoxiang Zhang, Min Li, Kaigi Huang, Tieniu Tan
Issue Date:June 2008
pp. 1-8
Camera calibration, as a fundamental issue in computer vision, is indispensable in many visual surveillance applications. Firstly, calibrated camera can help to deal with perspective distortion of object appearance on image plane. Secondly, calibrated came...
 
Robust 3D face recognition in uncontrolled environments
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Cheng Zhong, Zhenan Sun, Tieniu Tan, Zhaofeng He
Issue Date:June 2008
pp. 1-8
Most current 3D face recognition algorithms are designed based on the data collected in controlled situations, which leads to the un-guaranteed performance in practical systems. In this paper, we propose a Robust Local Log-Gabor Histograms (RLLGH) method t...
 
Robust 3D Face Recognition Using Learned Visual Codebook
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Cheng Zhong, Zhenan Sun, Tieniu Tan
Issue Date:June 2007
pp. 1-6
In this paper, we propose a novel learned visual codebook (LVC) for 3D face recognition. In our method, we first extract intrinsic discriminative information embedded in 3D faces using Gabor filters, then K-means clustering is adopted to learn the centers ...
 
Cast Shadow Removal Combining Local and Global Features
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Zhou Liu, Kaiqi Huang, Tieniu Tan, Liangsheng Wang
Issue Date:June 2007
pp. 1-8
In this paper, we present a method using pixel-level information, local region-level information and global-level information to remove shadow. At the pixel-level, we employ GMM to model the behavior of cast shadow for every pixel in the HSV color space, a...
 
Online Appearance Model Learning for Video-Based Face Recognition
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Liang Liu, Yunhong Wang, Tieniu Tan
Issue Date:June 2007
pp. 1-7
In this paper, we propose a novel online learning method which can learn appearance models incrementally from a given video stream. The data of each frame in the video can be discarded as soon as it has been processed. We only need to maintain a few linear...
 
EDA Approach for Model Based Localization and Recognition of Vehicles
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Zhaoxiang Zhang, Weishan Dong, Kaiqi Huang, Tieniu Tan
Issue Date:June 2007
pp. 1-8
We address the problem of model based recognition. Our aim is to localize and recognize road vehicles from monocular images in calibrated scenes. A deformable 3D geometric vehicle model with 12 parameters is set up as prior information and Bayesian Classif...
 
Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Rufeng Chu, Shengcai Liao, Yufei Han, Zhenan Sun, Stan Z. Li, Tieniu Tan
Issue Date:June 2007
pp. 1-2
No summary available.
 
Trajectory Series Analysis based Event Rule Induction for Visual Surveillance
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Zhang Zhang, Kaiqi Huang, Tieniu Tan, Liangsheng Wang
Issue Date:June 2007
pp. 1-8
In this paper, a generic rule induction framework based on trajectory series analysis is proposed to learn the event rules. First the trajectories acquired by a tracking system are mapped into a set of primitive events that represent some basic motion patt...
 
Introduction to the Special Issue on Biometrics: Progress and Directions
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Salil Prabhakar, Josef Kittler, Davide Maltoni, Lawrence O'Gorman, Tieniu Tan
Issue Date:April 2007
pp. 513-516
No summary available.
 
Key Techniques and Methods for Imaging Iris in Focus
Found in: Pattern Recognition, International Conference on
By Yuqing He, Jiali Cui, Tieniu Tan, Yangsheng Wang
Issue Date:August 2006
pp. 557-561
Automated iris recognition is a promising method for noninvasive verification of identity. How to acquire an iris image in focus is a key issue in iris recognition. Based on imaging properties of a simple lens, working principles of fixed focus and auto fo...
 
Context Enhancement of Nighttime Surveillance by Image Fusion
Found in: Pattern Recognition, International Conference on
By Yinghao Cai, Kaiqi Huang, Tieniu Tan, Yunhong Wang
Issue Date:August 2006
pp. 980-983
In this paper, we propose a novel method of automatically combining images of a scene at different time intervals by image fusion. All the important information of the original low quality nighttime images is combined with the context from a high quality i...
 
Blind Image Steganalysis Based on Statistical Analysis of Empirical Matrix
Found in: Pattern Recognition, International Conference on
By Xiaochuan Chen, Yunhong Wang, Tieniu Tan, Lei Guo
Issue Date:August 2006
pp. 1107-1110
In this paper, a novel steganalysis method based on statistical analysis of empirical matrix (EM) is proposed to detect the presence of hidden message in an image. The projection histogram .PH. of EM is used to extract features composed of two parts: the m...
 
Comparison of Similarity Measures for Trajectory Clustering in Outdoor Surveillance Scenes
Found in: Pattern Recognition, International Conference on
By Zhang Zhang, Kaiqi Huang, Tieniu Tan
Issue Date:August 2006
pp. 1135-1138
This paper compares different similarity measures used for trajectory clustering in outdoor surveillance scenes. Six similarity measures are presented and the performance is evaluated by Correct Clustering Rate (CCR) and Time Cost (TC). The experimental re...
 
Cast Shadow Removal with GMM for Surface Reflectance Component
Found in: Pattern Recognition, International Conference on
By Zhou Liu, Kaiqi Huang, Tieniu Tan, Liangsheng Wang
Issue Date:August 2006
pp. 727-730
Cast shadow on the background is generated by an object moving between a light source and the background. The position and illumination of the source always change with time, while the background is stable. Therefore, features connected with light source a...
 
Learning Boosted Asymmetric Classifiers for Object Detection
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Xinwen Hou, Cheng-Lin Liu, Tieniu Tan
Issue Date:June 2006
pp. 330-338
Object detection can be posted as those classification tasks where the rare positive patterns are to be distinguished from the enormous negative patterns. To avoid the danger of missing positive patterns, more attention should be payed on them. Therefore t...
 
Principal Axis-Based Correspondence between Multiple Cameras for People Tracking
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Weiming Hu, Min Hu, Xue Zhou, Tieniu Tan, Jianguang Lou, Steve Maybank
Issue Date:April 2006
pp. 663-671
Visual surveillance using multiple cameras has attracted increasing interest in recent years. Correspondence between multiple cameras is one of the most important and basic problems which visual surveillance using multiple cameras brings. In this paper, we...
 
Ontology-based hierarchical conceptual model for semantic representation of events in dynamic scenes
Found in: Visual Surveillance and Performance Evaluation of Tracking and Surveillance
By Lun Xin, Tieniu Tan
Issue Date:October 2005
pp. 57-64
There is an increasing interest in semantic analysis of events in dynamic scenes in recent years, and many different methods have been reported for this challenging problem. A new approach towards event modeling and analysis with semantic representations i...
 
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