Small Object Detection and Tracking: Algorithm, Analysis and Application

  • U. B. Desai
  • S. N. Merchant
  • Mukesh Zaveri
  • G. Ajishna
  • Manoj Purohit
  • H. S. Phanish
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

In this paper, we present an algorithm for detection and tracking of small objects, like a ping pong ball or a cricket ball in sports video sequences. It can also detect and track airborne targets in an infrared image sequence. The proposed method uses motion as the primary cue for detection. The detected object is tracked using the multiple filter bank approach. Our method is capable of detecting objects of low contrast and negligible texture content. Moreover, the algorithm also detects point targets. The algorithm has been evaluated using large number of different video clips and the performance is analysed.

Keywords

Sequential Probability Ratio Test Maneuvering Target Ping Pong Test Pipe Ping Pong Ball 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • U. B. Desai
    • 1
  • S. N. Merchant
    • 1
  • Mukesh Zaveri
    • 1
  • G. Ajishna
    • 1
  • Manoj Purohit
    • 1
  • H. S. Phanish
    • 1
  1. 1.SPANN Lab, Electrical Engineering Dept.IITBombay

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