S M Shahed Nejhum
PhD. student
Computer and Information Science and Engineering,
University of Florida, Gainesville


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Visual Tracking with Integral Histograms and Articulating Blocks

Introduction

This paper proposes an algorithm for accurate tracking of (articulated) objects using online update of appearance and shape. In this algorithm, the constantly changing foreground shape is modeled as a small number of rectangular blocks, whose positions within the tracking window are adaptively determined. We show that robust object tracking is possible by adaptively adjusting the locations of these blocks. Implemented in MATLAB, our tracker runs already at 3.7 frames per second on a 3GHz machine and the algorithm is able to efficiently track articulated objects undergoing large variation in appearance and shape.

Papers

Videos

  • Tracking results of our algorithm with fixed scale window.








  • Tracking results of our algorithm with adaptive scaling window.





  • Comparison with mean shift tracker (yellow) and integral histogram tracker(green)


Code

Source codes for our tracker can be obtained here. BHTracker-Jun-25-2009.zip

Data

For all video sequences, individual frames have been extracted and saved as png images.

Poster

Please click here to download the pdf of poster presentation at CVPR 2008.

Contact
E-mail: smshahed@gmail.com, smshahed@cise.ufl.edu
Homepage: www.cise.ufl.edu/~smshahed