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Proceedings Paper

Novel edge detection technique for detecting moving objects
Author(s): Mohammed Y. Siyal; Mahmood Fathi
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Paper Abstract

One of the areas in which a great deal of research is taking place is the application of image processing techniques for automatically detecting moving objects. The common object detection techniques used by several researchers are based on background differencing. However, in practice, the accuracy of this technique mainly depends on the methods used for background updating and the thresholding techniques. Edge-based image detection is generally more effective than background differencing and has been used by few researchers for detecting moving objects. The conventional gradient-based edge detection operations have found wide acceptance in image processing applications. However, morphological edge detectors have shown better performance than conventional edge detectors while having a lower computational cost. This paper describes a novel method for object detection based on morphological edge detection techniques. This method eliminates the background updating and has been implemented in real-time on a low-cost Pentium-based microcomputer system.

Paper Details

Date Published: 18 August 1997
PDF: 5 pages
Proc. SPIE 3185, Automatic Inspection and Novel Instrumentation, (18 August 1997); doi: 10.1117/12.284033
Show Author Affiliations
Mohammed Y. Siyal, Nanyang Technological Univ. (Singapore)
Mahmood Fathi, Iran Univ. of Science and Tech. (Iran)

Published in SPIE Proceedings Vol. 3185:
Automatic Inspection and Novel Instrumentation
Anthony Tung Shuen Ho; Sreenivas Rao; Lee Ming Cheng, Editor(s)

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