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A Robust Framework for Multi-object Tracking

  • Anand Singh Jalal
  • Vrijendra Singh
Part of the Communications in Computer and Information Science book series (CCIS, volume 193)

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Anand Singh Jalal
    • 1
  • Vrijendra Singh
    • 1
  1. 1.Indian Institute of Information TechnologyAllahabadIndia

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