tailieunhanh - Báo cáo hóa học: " Research Article Robust Background Subtraction with Shadow and Highlight Removal for Indoor Surveillance Jwu-Sheng Hu and Tzung-Min Su"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Robust Background Subtraction with Shadow and Highlight Removal for Indoor Surveillance Jwu-Sheng Hu and Tzung-Min Su | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 82931 14 pages doi 2007 82931 Research Article Robust Background Subtraction with Shadow and Highlight Removal for Indoor Surveillance Jwu-Sheng Hu and Tzung-Min Su Department of Electrical and Control Engineering National Chiao-Tung University Hsinchu 300 Taiwan Received 1 March 2006 Revised 12 September 2006 Accepted 29 October 2006 Recommended by Francesco G. B. De Natale This work describes a robust background subtraction scheme involving shadow and highlight removal for indoor environmental surveillance. Foreground regions can be precisely extracted by the proposed scheme despite illumination variations and dynamic background. The Gaussian mixture model GMM is applied to construct a color-based probabilistic background model CBM . Based on CBM the short-term color-based background model STCBM and the long-term color-based background model LTCBM can be extracted and applied to build the gradient-based version of the probabilistic background model GBM . Furthermore a new dynamic cone-shape boundary in the RGB color space called a cone-shape illumination model CSIM is proposed to distinguish pixels among shadow highlight and foreground. A novel scheme combining the CBM GBM and CSIM is proposed to determine the background which can be used to detect abnormal conditions. The effectiveness of the proposed method is demonstrated via experiments with several video clips collected in a complex indoor environment. Copyright 2007 . Hu and . Su. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Image background subtraction is an essential step in many vision-based home-care applications especially in the field of monitoring and surveillance. If foreground objects can be precisely .