Motion feature descriptor based moving objects segmentation  

作　　者：Yuan Hui Chang Yilin Ma Yanzhuo Bai Donglin Lu Zhaoyang 

机构地区：[1]State Key Laboratory of Integrated Services Networks, Xidian University, Xi＇an 710071, P.R.China [2]Xi＇an Communication Institute, Xi＇an 710106, P.R.China

出　　处：《High Technology Letters》2012年第1期84-89,共6页高技术通讯（英文版）

基　　金：Supported by the National Natural Science Foundation of China （No. 60772134, 60902081, 60902052）; the 111 Project （No.B08038）; the Fundamental Research Funds for the Central Universities（No.72105457）.

摘　　要：A novel moving objects segmentation method is proposed in this paper. A modified three dimensional recursive search （3DRS） algorithm is used in order to obtain motion information accurately. A motion feature descriptor （MFD） is designed to describe motion feature of each block in a picture based on motion intensity, motion in occlusion areas, and motion correlation among neighbouring blocks. Then, a fuzzy C-means clustering algorithm （FCM） is implemented based on those MFDs so as to segment moving objects. Moreover, a new parameter named as gathering degree is used to distinguish foreground moving objects and background motion. Experimental results demonstrate the effectiveness of the proposed method.

关 键 词：motion estimation （ME） motion feature descriptor （MFD） fuzzy C-means clustering .moving objects segmentation video analysis 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN919.81[自动化与计算机技术—计算机科学与技术]