The Background Subtraction Problem for Video Surveillance Systems
RobVis '01 Proceedings of the International Workshop on Robot Vision
Real-Time Pedestrian Detection Using Support Vector Machines
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Object Detection and Classification for Outdoor Walking Guidance System
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Multiple People Tracking Using a Appearance Model Based on Temporal Color
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Multiple Object Tracking in Multiresolution Image Sequences
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Robust tracking of human body parts for collaborative human computer interaction
Computer Vision and Image Understanding
A Tracking Framework for Collaborative Human Computer Interaction
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Temporal spatio-velocity transform and its application to tracking and interaction
Computer Vision and Image Understanding - Special issue on event detection in video
Journal of VLSI Signal Processing Systems
Resolving complex occlusions of objects during tracking using region based segmentations
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Human Pose Estimation Using Partial Configurations and Probabilistic Regions
International Journal of Computer Vision
Multi-agent framework in visual sensor networks
EURASIP Journal on Applied Signal Processing
Fast background subtraction for real time monitoring
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Estimating pedestrian counts in groups
Computer Vision and Image Understanding
Unusual human behavior recognition using evolutionary technique
Computers and Industrial Engineering
Players and ball detection in soccer videos based on color segmentation and shape analysis
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Comparative study of people detection in surveillance scenes
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Occlusion activity detection algorithm using kalman filter for detecting occluded multiple objects
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
Multi-user live video in a shared virtual world for enhanced group collaboration
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
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Hydra is a real-time system for detecting and tracking multiple people when they appear in a group. We describe the computational models employed by Hydra to track multiple people before, during and after occlusion. Hydra combines a silhouette-based shape model, a motion model, and correlation-based matching methods to classify whether or not a foreground region contains multiple people, and to segment the region into its constituent people and track them. Experimental results demonstrate robustness and real-time performance of the algorithm.