Improving Integrality of Detected Moving Objects Based on Image Matting  

作　　者：ZHANG Liang WANG Haili DENG Tao HE Xiaomei 

机构地区：[1]Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China [2]Training Center of Engineering Technology, Civil Aviation University of China

出　　处：《Chinese Journal of Electronics》2014年第4期742-746,共5页电子学报（英文版）

基　　金：supported by the National Natural Sciences Foundation of China(No.61179045)

摘　　要：The integrality of moving objects is the basis for video-based object tracking and action analysis. But it often becomes unreliable as a result of shadow elimination when the object has similar properties with real shadow. The proposed methods manage to improve the integrality of detected moving objects as much as possible, by image matting operated on candidate shadow regions. Existing approaches for image matting require manual labeling of foreground and background. Considering the moving feature points in shadow may cause classification errors, we propose automatic scribbling methods based on Scale invariant feature transform(SIFT) and Speeded-up robust feature(SURF) respectively. Experiments demonstrate that our methods eliminate real shadow effectively and improve object segmentation in the case of object parts and shadows presenting similar characteristics.The integrality of moving objects is the basis for video-based object tracking and action analysis. But it often becomes unreliable as a result of shadow elimination when the object has similar properties with real shadow. The proposed methods manage to improve the integrality of detected moving objects as much as possible, by image matting operated on candidate shadow regions. Existing approaches for image matting require manual labeling of foreground and background. Considering the moving feature points in shadow may cause classification errors, we propose automatic scribbling methods based on Scale invariant feature transform （SIFT） and Speeded-up robust feature （SURF） respectively. Experiments demon- strate that our methods eliminate real shadow effectively and improve object segmentation in the case of object parts and shadows presenting similar characteristics.

关 键 词：Moving object detection Object integrality Shadow elimination SURF matching Image matting. 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP317.4[自动化与计算机技术—计算机科学与技术]