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ECCV
2008
Springer

Robust Object Tracking by Hierarchical Association of Detection Responses

9 years 27 days ago
Robust Object Tracking by Hierarchical Association of Detection Responses
Abstract. We present a detection-based three-level hierarchical association approach to robustly track multiple objects in crowded environments from a single camera. At the low level, reliable tracklets (i.e. short tracks for further analysis) are generated by linking detection responses based on conservative affinity constraints. At the middle level, these tracklets are further associated to form longer tracklets based on more complex affinity measures. The association is formulated as a MAP problem and solved by the Hungarian algorithm. At the high level, entries, exits and scene occluders are estimated using the already computed tracklets, which are used to refine the final trajectories. This approach is applied to the pedestrian class and evaluated on two challenging datasets. The experimental results show a great improvement in performance compared to previous methods.
Chang Huang, Bo Wu, Ramakant Nevatia
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where ECCV
Authors Chang Huang, Bo Wu, Ramakant Nevatia
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