A moving foreground objects extraction method under camouflage effect

Zhen-zhen Zhu; Jing-yue Li; Si-si Yang; Hong Zhou

doi:10.1117/12.2196910

6 July 2015 A moving foreground objects extraction method under camouflage effect

Zhen-zhen Zhu, Jing-yue Li, Si-si Yang, Hong Zhou

Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 963102 (2015) https://doi.org/10.1117/12.2196910
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

Abstract

This paper discusses the problem of segmenting foreground objects with apertures or discontinuities under camouflage effect and the optical physics model is introduced into foreground detection. A moving foreground objects extraction method based on color invariants is proposed in which color invariants are used as descriptors to model the background and do the foreground segmentation. It makes full use of the color spectral information and spatial configuration. Experimental results demonstrate that the proposed method performs well in various situations of color similarity and meets the demand of real-time performance.

Citation Download Citation

Zhen-zhen Zhu, Jing-yue Li, Si-si Yang, and Hong Zhou "A moving foreground objects extraction method under camouflage effect", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 963102 (6 July 2015); https://doi.org/10.1117/12.2196910

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KEYWORDS

RGB color model

Camouflage

Image processing

Image segmentation

Reflectivity

Video

Computer vision technology

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