Object Labelling from Human Action Recognition
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Distributed real-time soccer tracking
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
3D Tracking Using Multi-view Based Particle Filters
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Performance analysis for gait in camera networks
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Pattern Recognition Letters
Multiview trajectory mapping using homography with lens distortion correction
Journal on Image and Video Processing - Regular
Multi-camera people tracking using evidential filters
International Journal of Approximate Reasoning
Video analytics for multi-camera traffic surveillance
Proceedings of the Second International Workshop on Computational Transportation Science
Visibility-Based Observation Model for 3D Tracking with Non-parametric 3D Particle Filters
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition
Foundations and Trends in Signal Processing
Particle filtering with multiple and heterogeneous cameras
Pattern Recognition
Real-time multi-view object tracking in mediated environments
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Performance analysis for automated gait extraction and recognition in multi-camera surveillance
Multimedia Tools and Applications
Anthropocentric video analysis for film and games postproduction
Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
Improved 3D reconstruction in smart-room environments using ToF imaging
Computer Vision and Image Understanding
Globally optimal multi-target tracking on a hexagonal lattice
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Bridging the gaps between cameras
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Exploiting multiple cameras for environmental pathlets
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Sparsity Driven People Localization with a Heterogeneous Network of Cameras
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ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Foreground regions extraction and characterization towards real-time object tracking
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Shape from pairwise silhouettes for plan-view map generation
Image and Vision Computing
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
A fast method for tracking people with multiple cameras
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
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Coverage algorithms for visual sensor networks
ACM Transactions on Sensor Networks (TOSN)
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ACM Computing Surveys (CSUR)
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Journal of Mathematical Imaging and Vision
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This paper presents a set of methods for multi viewimage tracking using a set of calibrated cameras. Wedemonstrate how effective the approach is for resolvingocclusions and tracking objects between overlappingand non-overlapping camera views. Moving objects areinitially detected using background subtraction.Temporal alignment is then performed between eachvideo sequence in order to compensate for the differentprocessing rates of each camera. The Kalman filter isused to track each object in 3D world coordinates and2D image coordinates. Information is shared betweenthe 2D/3D trackers of each camera view in order toimprove the performance of object tracking andtrajectory prediction. The system is shown to be robustin resolving dynamic and static object occlusions.Results are presented from a variety of outdoorsurveillance video sequences