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Proceedings Paper

Scale-invariant visual tracking by particle filtering
Author(s): Arie Nakhmani; Allen Tannenbaum
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Paper Abstract

Visual tracking is an important task that has received a lot of attention in recent years. Robust generic tracking tools are of major interest for applications ranging from surveillance and security to image guided surgery. In these applications, the objects of interest may be translated and scaled. We present here an algorithm that uses scaled normalized cross-correlation matching as the likelihood within the particle filtering framework. We do not need color and contour cues in our algorithm. Experimental results with constant rectangular templates show that the method is reliable for noisy and cluttered scenarios, and provides accurate and smooth trajectories in cases of target translation and scaling.

Paper Details

Date Published: 10 October 2008
PDF: 8 pages
Proc. SPIE 7109, Image and Signal Processing for Remote Sensing XIV, 71090L (10 October 2008); doi: 10.1117/12.800592
Show Author Affiliations
Arie Nakhmani, Technion-Israel Institute of Technology (Israel)
Allen Tannenbaum, Technion-Israel Institute of Technology (Israel)
Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7109:
Image and Signal Processing for Remote Sensing XIV
Lorenzo Bruzzone; Claudia Notarnicola; Francesco Posa, Editor(s)

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