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Flexible tracklet association for complex scenarios using a Markov Logic Network

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2 Author(s)
Valerie Leung ; ONERA - The French Aerospace Lab, F-91761 Palaiseau, France ; St├ęphane Herbin

Multi-object tracking, despite significant advances in recent years, is still an area where improvements can be made. The additional constraint of the system running in real-time further limits the complexity of the algorithm. Consequently, real-time multi-object tracking algorithms are in general not sufficiently robust to produce error-free outputs. However for offline applications, the track quality can benefit from a post-processing step. We consider such an approach in the form of tracklet association, where reliable track fragments are joined to form longer, coherent tracks. This is implemented with a Markov Logic Network.

Published in:

Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on

Date of Conference:

6-13 Nov. 2011