Model-based Gait Representation via Spatial Point Reconstruction  

作　　者：张元元 吴晓娟 阮秋琦 

机构地区：[1]Institute of Image Processing and Pattern Recognition, Shandong University [2]Institute of Information Science, Beijing Jiaotong University

出　　处：《Journal of Shanghai Jiaotong university(Science)》2009年第3期293-298,共6页上海交通大学学报（英文版）

基　　金：the National Natural Science Foundation of China (No. 60675024)

摘　　要：This paper proposed a novel model-based feature representation method to characterize human walking properties for individual recognition by gait. First, a new spatial point reconstruction approach is proposed to recover the coordinates of 3D points from 2D images by the related coordinate conversion factor (CCF). The images are captured by a monocular camera. Second, the human body is represented by a connected three-stick model. Then the parameters of the body model are recovered by the method of projective geometry using the related CCF. Finally, the gait feature composed of those parameters is defined, and it is proved by experiments that those features can partially avoid the influence of viewing angles between the optical axis of the camera and walking direction of the subject.This paper proposed a novel model-based feature representation method to characterize human walking properties for individual recognition by gait. First, a new spatial point reconstruction approach is proposed to recover the coordinates of 3D points from 2D images by the related coordinate conversion factor （CCF）. The images are captured by a monocular camera. Second, the human body is represented by a connected three-stick model. Then the parameters of the body model are recovered by the method of projective geometry using the related CCF. Finally, the gait feature composed of those parameters is defined, and it is proved by experiments that those features can partially avoid the influence of viewing angles between the optical axis of the camera and walking direction of the subject.

关 键 词：coordinate conversion factor （CCF） gait feature monocular camera parallel restriction 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] TU198[自动化与计算机技术—控制科学与工程]