Mean-shift tracking of moving objects using multi-dimensional histograms
Date
2004-04
Authors
Advisor
Instructor
Source Title
Proceedings of SPIE - The International Society for Optical Engineering
Print ISSN
0277-786X
Electronic ISSN
Publisher
Society of Photo-Optical Instrumentation Engineers (SPIE)
Volume
Issue
Pages
70 - 77
Language
English
Type
Conference Paper
Journal Title
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Volume Title
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.
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Keywords
FLIR images, Image histogram, Mean-shift tracking, Moving objects in video, Algorithms, Data processing, Human computer interaction, Infrared imaging, Motion compensation, Probability density function, Signal detection, Forward-looking infrared (FLIR) imagery, Tracking (position)