Retrieving actions embedded in video
Proceedings of the tenth ACM international conference on Multimedia
Distributed real-time soccer tracking
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
Image and Vision Computing
Computer Vision and Image Understanding
Knowledge Aquisition and Data Storage in Mobile GeoSensor Networks
GeoSensor Networks
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
A hierarchical estimator for object tracking
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Recovery and Reasoning About Occlusions in 3D Using Few Cameras with Applications to 3D Tracking
International Journal of Computer Vision
Statistical inference of motion in the invisible
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Low-complexity scalable distributed multicamera tracking of humans
ACM Transactions on Sensor Networks (TOSN)
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Abstract: We propose a distributed, real-time computing platform for tracking multiple interacting persons in motion. To overcome occlusion and articulated motion we use a multi-view implementation, where 2-D semantic features are independently tracked in each view and then collectively integrated using a Bayesian belief network with a topology that varies as a function of scene content and feature confidence. The network fuses observations from multiple cameras by resolving independency relationships and confidence levels within the graph, thereby producing the most likely vector of 3-D state estimates given the available data. We demonstrate the efficacy of the proposed system using a multi-view sequence of several people in motion. Our experiments suggest that, when compared with data fusion based on averaging, the proposed technique yields a noticeable improvement in tracking accuracy.