Hand tracking in bimanual movements
Image and Vision Computing
Detection and localization of the top object in the stack of objects
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Tracking of multiple targets using on-line learning for appearance model adaptation
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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Presents a novel approach to the tracking of multiple articulate objects in the presence of occlusion in moderately complex scenes. Most conventional tracking algorithms work well when only one object is tracked at a time. However, when multiple objects must be tracked simultaneously, significant computation is often introduced in order to handle occlusion and to calculate the appropriate region correspondence between successive frames. We introduce a near-real-time solution to this problem by using a probabilistic mixing of low-level features and components. The algorithm mixes coarse motion estimates, change detection information and unobservable predictions to create accurate trajectories of moving objects. We implement this multifeature mixing strategy within the context of a video surveillance system using a modified Kalman filtering mechanism. Experimental results demonstrate the efficacy of the proposed tracking and surveillance system.