Stereo Correspondence Through Feature Grouping and Maximal Cliques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4S: A real-time system detecting and tracking people in 2 1/2D
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Real-time closed-world tracking
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Integrated Person Tracking Using Stereo, Color, and Pattern Detection
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
W4: Who? When? Where? What? A Real Time System for Detecting and Tracking People
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
Multi-Camera Multi-Person Tracking for EasyLiving
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A Multi-Agent Framework for Visual Surveillance
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Unified Multi-Camera Detection and Tracking Using Region-Matching
WOMOT '01 Proceedings of the IEEE Workshop on Multi-Object Tracking (WOMOT'01)
Automatic Tracking of Human Motion in Indoor Scenes Across Multiple Synchronized Video Streams
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Counting People from Multiple Cameras
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene
International Journal of Computer Vision
Object Labelling from Human Action Recognition
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Multi-views tracking within and across uncalibrated camera streams
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Bayesian Pixel Classification for Human Tracking
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Principal Axis-Based Correspondence between Multiple Cameras for People Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time people localization and tracking through fixed stereo vision
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Video editing based on object movement and camera motion
Proceedings of the working conference on Advanced visual interfaces
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Real-time people localization and tracking through fixed stereo vision
Applied Intelligence
A General Method for Sensor Planning in Multi-Sensor Systems: Extension to Random Occlusion
International Journal of Computer Vision
Multi-level Particle Filter Fusion of Features and Cues for Audio-Visual Person Tracking
Multimodal Technologies for Perception of Humans
Evaluating multiple object tracking performance: the CLEAR MOT metrics
Journal on Image and Video Processing - Regular
Shape from inconsistent silhouette
Computer Vision and Image Understanding
Data association and occlusion handling for vision-based people tracking by mobile robots
Robotics and Autonomous Systems
Multi- and single view multiperson tracking for smart room environments
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Monkeys - a software architecture for viroom - low-cost multicamera system
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Task scheduling in large camera networks
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
An ease-of-use stereo-based particle filter for tracking under occlusion
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Multi-object detection and tracking by stereo vision
Pattern Recognition
Crowd detection with a multiview sampler
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Continuous tracking within and across camera streams
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Recovery and Reasoning About Occlusions in 3D Using Few Cameras with Applications to 3D Tracking
International Journal of Computer Vision
Background updating for visual surveillance
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Evaluation of an inexpensive depth camera for in-home gait assessment
Journal of Ambient Intelligence and Smart Environments
Evaluation of an inexpensive depth camera for in-home gait assessment
Journal of Ambient Intelligence and Smart Environments
Localizing people in multi-view environment using height map reconstruction in real-time
Pattern Recognition Letters
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We present a system that is capable of segmenting, detecting and tracking multiple people in a cluttered scene using multiple synchronized cameras located far from each other. The system improves upon existing systems in many ways including: (1)We do not assume that a foreground connected component belongs to only one object; rather, we segment the views taking into account color models for the objects and the background. This helps us to not only separate foreground regions belonging to different objects, but to also obtain better background regions than traditional background subtraction methods (as it uses foreground color models in the algorithm). (2) It is fully automatic and does not require any manual input or initializations of any kind. (3) Instead of taking decisions about object detection and tracking from a single view or camera pair, we collect evidences from each pair and combine the evidence to obtain a decision in the end. This helps us to obtain much better detection and tracking as opposed to traditional systems.Several innovations help us tackle the problem. The first is the introduction of a region-based stereo algorithm that is capable of finding 3D points inside an object if we know the regions belonging to the object in two views. No exact point matching is required. This is especially useful in wide baseline camera systems where exact point matching is very difficult due to self-occlusion and a substantial change in viewpoint. The second contribution is the development of a scheme for setting priors for use in segmentation of a view using bayesian classification. The scheme, which assumes knowledge of approximate shape and location of objects, dynamically assigns priors for different objects at each pixel so that occlusion information is encoded in the priors. The third contribution is a scheme for combining evidences gathered from different camera pairs using occlusion analysis so as to obtain a globally optimum detection and tracking of objects.The system has been tested using different density of people in the scene which helps us to determine the number of cameras required for a particular density of people.