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Displaying 1-7 out of 7 total
Orderless Tracking through Model-Averaged Posterior Estimation
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Seunghoon Hong,Suha Kwak,Bohyung Han
Issue Date:December 2013
pp. 2296-2303
We propose a novel offline tracking algorithm based on model-averaged posterior estimation through patch matching across frames. Contrary to existing online and offline tracking methods, our algorithm is not based on temporally-ordered estimates of target ...
 
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...
 
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...
 
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