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Multiple objects
tracking in the presence of long term occlusions |
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Brief description We present a robust object tracking algorithm that handles spatially
extended and temporally long object occlusions. The proposed approach is
based on the concept of ``object permanence'' which suggests that a totally
occluded object will re-emerge near its occluder. The proposed method does
not require prior training to account for differences in the shape, size,
color or motion of the objects to be tracked. Instead, the method
automatically and dynamically builds appropriate object representations that
enable robust and effective tracking and occlusion reasoning. The proposed
approach has been evaluated on several image sequences showing either complex
object manipulation tasks or human activity in the context of surveillance
applications. Experimental results demonstrate that the developed tracker is
capable of handling several challenging situations, where the labels of
objects are correctly identified and maintained over time, despite the
complex interactions among the tracked objects that lead to several layers of
occlusions. Sample results
Contributors Vasilis Papadourakis, Antonis
Argyros. This work has been partially supported by the EU-IST Integrated Project
GRASP. Relevant publications ·
V. Papadourakis, A.A. Argyros, “Multiple Objects Tracking in the
Presence of Long-term Occlusions”, in Computer Vision and Image
Understanding, Elsevier, vol. 114,
issue 7, pp. 835-846, July 2010. The
electronic versions of the above publications can be downloaded from my publications page. |
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Last update: |
19 July 2010, Antonis Argyros, argyros@ics.forth.gr |
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