Automatic threshold decision of background registration technique for video segmentation

Yu-Wen Huang; Shao-Yi Chien; Bing-Yu Hsieh; Liang-Gee Chen

doi:10.1117/12.453098

4 January 2002 Automatic threshold decision of background registration technique for video segmentation

Yu-Wen Huang, Shao-Yi Chien, Bing-Yu Hsieh, Liang-Gee Chen

Proceedings Volume 4671, Visual Communications and Image Processing 2002; (2002) https://doi.org/10.1117/12.453098
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

Background registration technique is useful to solve still object problem and uncovered background problem for video segmentation. However, it is hard to automatically decide the threshold of the frame difference for background registration to make it more feasible for real-time applications. Many previous works made efforts on automatic threshold decision for change detection. In this paper, we propose a new method of automatic threshold decision algorithm in a totally different viewpoint. Not only change detection but also the quantization effect in discrete domain is concerned. A Gaussianity test is first applied to find the standard deviation of Gaussian noise from the camera. Then, the quantization effect in discrete domain is taken into consideration to derive the relation between the standard deviation and the optimal threshold value. A couple MPEG-4 sequences and experimental sequences are tested as examples. Simulation results show that the calculated threshold values are suitable for background registration to give good segmentation results.

Citation Download Citation

Yu-Wen Huang, Shao-Yi Chien, Bing-Yu Hsieh, and Liang-Gee Chen "Automatic threshold decision of background registration technique for video segmentation", Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); https://doi.org/10.1117/12.453098

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