3D Feature Extraction of Head based on Target Region Matching

摘要

In order to recognize and track all of the heads exactly in top view images,a novel approach of 3D feature extraction of heads based on target region matching is presented.The main idea starts from the dispari.tv of head region,which is generally extracted in global dense dispari.ty image obtained by block matching method.Deferent from the block matching,the correspondence searching in target region matching is not done in the regions around every pixel in image but in the candidate head regions extracted in advance by monocular image processing.As the number of candidate head regions is far less than the resolution of image,the computational complexitv and time consume can be largely reduced.After the dispari.ty of candidate head regions are obtained,the 3D features of head,including the height feature and the perspective feature,can be extracted to largely improve the accuracy of head recognition.