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Proceedings Paper

A novel multi-object detection method in HSV space
Author(s): Mingfeng Tang; Hongsong Li; Yane Wen; Liping Tang
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Paper Abstract

In order to solve the adverse effects of strong light and shadow on the test results, a fusion frame difference and background subtraction method in the HSV space is used in this paper. By using frame difference method to solve the effect of strong light, but frame difference method can not detect object when the object do not move, the method of background subtraction can detect it, building Gaussian background model in the HSV space can eliminate shadows. Empirical results show that the method of fusion frame difference and background subtraction in the HSV space can get overcome the effect of strong light and shadows. Fusion background subtraction and frame difference method based on establishing a Gaussian mixture model in HSV space can overcome the disadvantages of the frame difference method, at the same time it can also solve the false detection of object which result from the background subtraction method.

Paper Details

Date Published: 19 July 2013
PDF: 5 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887837 (19 July 2013); doi: 10.1117/12.2031012
Show Author Affiliations
Mingfeng Tang, Yunnan Vocational College of Mechanical and Electrical Technology (China)
Hongsong Li, Yunnan Univ. (China)
Yane Wen, Yunnan Univ. (China)
Liping Tang, Yunnan Univ. (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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