Studies on Silhouette Quality and Gait Recognition

Recognition of a person from gait has been a recent focus in computer vision. It is one biometric source that can be acquired at a distance. At this nascent stage of gait recognition research, the pertinent research questions are those related to understanding the limits of gait recognition and the quantitative study of the various factors effecting gait. However, performances of contemporary algorithms have been confounded by errors in the extracted silhouettes, which has been the low-level representation of choice. In this work, (i) we present to the research community a segmentation "ground truth" research resource consisting of a set of manually specified part-level silhouettes for 70 subjects from the recently formulated Gait Challenge database, under different conditions involving change in surface, shoe-type, and time; a total of about 8000 manual silhouettes. (ii) We expound an HMM Eigen Stance modelbased silhouette reconstruction method to correct for common errors ...

• Type: Conference
• Year: 2004
• Where: CVPR
• Authors: Zongyi Liu, Laura Malave, Sudeep Sarkar
• Keywords: Computer Vision, CVPR 2004, Extracted Silhouettes, Factors Effecting Gait, Gait Challenge Database, Gait Recognition Research, Manual Silhouettes