Special issue on background modeling for foreground detection in real-world dynamic scenes

Abstract

Although background modeling and foreground detection are not mandatory steps for computer vision applications, they may prove useful as they separate the primal objects usually called “foreground” from the remaining part of the scene called “background”, and permits different algorithmic treatment in the video processing field such as video surveillance, optical motion capture, multimedia applications, teleconferencing and human–computer interfaces. Conventional backgroundmodelingmethods exploit the temporal variation of each pixel to model the background, and the foreground detection is made using change detection. The last decade witnessed very significant publications on background modeling but recently new applications in which background is not static, such as recordings taken from mobile devices or Internet videos, need new developments to detect robustly moving objects in challenging environments. Thus, effective methods for robustness to deal both with dynamic

DOI: 10.1007/s00138-013-0578-x

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Cite this paper

@article{Bouwmans2013SpecialIO, title={Special issue on background modeling for foreground detection in real-world dynamic scenes}, author={Thierry Bouwmans and Jordi Gonz{\`a}lez and Caifeng Shan and Massimo Piccardi and Larry S. Davis}, journal={Machine Vision and Applications}, year={2013}, volume={25}, pages={1101-1103} }