| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10360052 | Journal of Visual Communication and Image Representation | 2014 | 11 Pages |
Abstract
⺠We combine depth and RGB information from Kinect for frontal gait recognition. ⺠Key poses are extracted using depth frames registered in RGB frame coordinate system. ⺠A new feature named Pose Depth Volume is proposed. ⺠Comparative study with existing gait features has been done.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Pratik Chattopadhyay, Aditi Roy, Shamik Sural, Jayanta Mukhopadhyay,