Search For:

Displaying 1-10 out of 10 total
Joint Segmentation and Pose Tracking of Human in Natural Videos
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Taegyu Lim,Seunghoon Hong,Bohyung Han,Joon Hee Han
Issue Date:December 2013
pp. 833-840
We propose an on-line algorithm to extract a human by foreground/background segmentation and estimate pose of the human from the videos captured by moving cameras. We claim that a virtuous cycle can be created by appropriate interactions between the two mo...
 
Generalized background subtraction based on hybrid inference by belief propagation and Bayesian filtering
Found in: Computer Vision, IEEE International Conference on
By Suha Kwak, Taegyu Lim, Woonhyun Nam, Bohyung Han, Joon Hee Han
Issue Date:November 2011
pp. 2174-2181
We propose a novel background subtraction algorithm for the videos captured by a moving camera. In our technique, foreground and background appearance models in each frame are constructed and propagated sequentially by Bayesian filtering. We estimate the p...
 
Learning occlusion with likelihoods for visual tracking
Found in: Computer Vision, IEEE International Conference on
By Suha Kwak, Woonhyun Nam, Bohyung Han, Joon Hee Han
Issue Date:November 2011
pp. 1551-1558
We propose a novel algorithm to detect occlusion for visual tracking through learning with observation likelihoods. In our technique, target is divided into regular grid cells and the state of occlusion is determined for each cell using a classifier. Each ...
 
Scenario-based video event recognition by constraint flow
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Suha Kwak, Bohyung Han, Joon Hee Han
Issue Date:June 2011
pp. 3345-3352
We present a novel approach to representing and recognizing composite video events. A composite event is specified by a scenario, which is based on primitive events and their temporal-logical relations, to constrain the arrangements of the primitive events...
 
Hierarchical Event Representation and Recognition Method for Scalable Video Event Analysis
Found in: Multimedia, International Symposium on
By Suha Kwak, Joon Hee Han
Issue Date:December 2008
pp. 586-591
Recognition of events in video is an important subject in intelligent video surveillance. In this paper, we propose a new paradigm of event recognition scheme from video. In this structure, most video events are represented by a hierarchical structure, eff...
 
Contour Matching Using Epipolar Geometry
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Joon Hee Han, Jong Seung Park
Issue Date:April 2000
pp. 358-370
<p><b>Abstract</b>—Matching features computed in images is an important process in multiview image analysis. When the motion between two images is large, the matching problem becomes very difficult. In this paper, we propose a contour mat...
 
Image Indexing Using Weighted Color Histogram
Found in: Image Analysis and Processing, International Conference on
By Du-Sik Park, Jong-Seung Park, Tae-Yong Kim, Joon Hee Han
Issue Date:September 1999
pp. 909
Image indexing is the process of image retrieval from databases of images or videos based on their contents. Specifically, histogram-based algorithms are considered to be effective for color image indexing. We suggest a new method of color space quantizati...
 
On-line Video Event Detection by Constraint Flow
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Suha Kwak,Bohyung Han,Joon Hee Han
Issue Date:December 2013
pp. 1
We present a novel approach to describing and detecting composite video events based on scenarios, which constrain the configurations of target events by temporal-logical structures of primitive events. We propose a new scenario description method to repre...
 
Multi-agent Event Detection: Localization and Role Assignment
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Suha Kwak,Bohyung Han,Joon Hee Han
Issue Date:June 2013
pp. 2682-2689
We present a joint estimation technique of event localization and role assignment when the target video event is described by a scenario. Specifically, to detect multi-agent events from video, our algorithm identifies agents involved in an event and assign...
 
A Curvature-Based Approach to Contour Motion Estimation
Found in: Computer Vision, IEEE International Conference on
By Jong Seung Park, Joon Hee Han
Issue Date:January 1998
pp. 1018
We present a novel method of velocity field estimation for points on moving contours in an image sequence. The method determines the corresponding point in the next image frame by considering curvature changes at each point on a contour. In previous method...
 
 1