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Proceedings Paper

Mean-shift tracking of moving objects using multidimensional histograms
Author(s): Halil I. Cuce; Ahmet Enis Cetin
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Paper Abstract

In this paper, a moving object tracking algorithm for infrared image sequences is presented. The tracking algorithm is based on the mean-shift tracking method which is based on comparing the histograms of moving objects in consecutive image frames. In video obtained after visible light, the color histogram of the object is used for tracking. In forward looking infrared image sequences, the histogram is constructed not only from the pixel values but also from a highpass filtered version of the original image. The reason behind the use of highpass filter outputs in histogram construction is to capture structural nature of the moving object. Simulation examples are presented.

Paper Details

Date Published: 25 August 2004
PDF: 8 pages
Proc. SPIE 5428, Signal and Data Processing of Small Targets 2004, (25 August 2004); doi: 10.1117/12.553388
Show Author Affiliations
Halil I. Cuce, Bilkent Univ. (Turkey)
Ahmet Enis Cetin, Bilkent Univ. (Turkey)

Published in SPIE Proceedings Vol. 5428:
Signal and Data Processing of Small Targets 2004
Oliver E. Drummond, Editor(s)

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