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Proceedings Paper

A contour-based stereovision algorithm for video surveillance applications
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Paper Abstract

In this paper, we will describe a real-time stereo vision algorithm that determines the disparity map of a given scene by an evaluation of the object contours, relying on a reference image displaying the scene without objects. Contours are extracted from the full-resolution absolute difference image between current and reference image by binarization with several locally adaptive thresholds. To estimate disparity values, contour segments extending over several epipolar lines are used. This approach leads to very accurate disparity values. The algorithm can be configured such that no image region that differs from the reference image by more than a given minimum statistical significance is overlooked, which makes it especially suitable for safety applications. We successfully apply this contour based stereo vision (CBS)algorithm to the task of video surveillance of hazardous areas in the production environment, regarding several thousands of test images. Under the harsh conditions encountered in this setting, the CBS algorithm achieves to faithfully detect objects entering the scene and determine their three-dimensional structure. What is more, it turns out to cope with small objects and very difficult illumination and contrast settings.

Paper Details

Date Published: 23 June 2003
PDF: 8 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503053
Show Author Affiliations
Christian Woehler, DaimlerChrysler Research and Technology (Germany)
Lars Krueger, DaimlerChrysler Research and Technology (Germany)

Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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