A NEW METHOD OF MOVING OBJECT DETECTION AND SHADOW REMOVING  

作　　者：Hu Fuyuan Zhang Yanning Yao Lan Sun Jinqiu 

机构地区：[1]School of Computer Science, Northwestern Polytechnical University, Xi＇ an 710072, China

出　　处：《Journal of Electronics(China)》2007年第4期528-536,共9页电子科学学刊（英文版）

基　　金：the National Natural Science Foundation of China (60472072);the Specialized Research Foundation for the Doctoral Program of Higher Education (20040699034);the Aeronautical Science Foundation of China (04I50370);the Natural Science Foundation of Shaan’xi Province (2004K05-G23).

摘　　要：This paper presents an adaptive method of objects and shadows detection in video streams. Models of background are firstly set up and adaptively updated in Hue Saturation Intensity (HSI) color space to detect motion regions. Then, detection errors are dealt with by motion continuity and velocity consistency. Finally, cast shadows are removed by the generic properties of luminance, chrominance and gradient density. Experimental results and their evaluation are presented to verify the effectiveness of this new method.This paper presents an adaptive method of objects and shadows detection in video streams. Models of background are firstly set up and adaptively updated in Hue Saturation Intensity （HSI） color space to detect motion regions. Then, detection errors are dealt with by motion continuity and velocity consistency. Finally, cast shadows are removed by the generic properties of luminance, chrominance and gradient density. Experimental results and their evaluation are presented to verify the effectiveness of this new method.

关 键 词：Object detection Shadows detection Hue Saturation Intensity （HSI） color space Bi-modal-distributional model 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]