Abstract
Tracking multiple objects in a scenario exhibit complex interaction is very challenging. In this work, we propose a framework for multi-object tracking in complex wavelet domain to resolve the challenges occurred due to incidents of occlusion and split. A scheme exploiting the spatial and appearance information is used to detect and correct the occlusion and split state. Experimental results illustrate the effectiveness and robustness of the proposed framework in ambiguous situations in several indoor and outdoor video sequences.
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Jalal, A.S., Singh, V. (2011). A Robust Framework for Multi-object Tracking. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22726-4_35
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DOI: https://doi.org/10.1007/978-3-642-22726-4_35
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