Abstract | ||
---|---|---|
Frontal gait recognition using partial cycle information has not received significant attention to date in spite of its many potential applications. In this paper, we propose a hierarchical classification strategy that combines front and back view features captured by RGB-D (Red Green Blue - Depth) cameras. Airport security check points are considered as a typical application scenario, where two depth cameras mounted on top of a metal detector gate positioned beyond a yellow line, respectively, record front and back views of a subject as he goes through the check-in process. Due to the short distance of the surveillance zone between the yellow line and point of exit, it is often not possible to capture a full gait cycle independently from the front view or back view. An initial stage of anthropometric feature-based classification followed by motion feature extraction from the front view is used to restrict the potential set of matched subjects. A final classification is then applied on this reduced set of subjects using depth features extracted from the back view. The method is computationally efficient with a much higher rate of accuracy compared with existing gait recognition approaches. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/TIFS.2014.2352114 | Information Forensics and Security, IEEE Transactions |
Keywords | DocType | Volume |
airports,feature extraction,gait analysis,image classification,image colour analysis,image motion analysis,image sensors,image sequences,object recognition,surveillance,RGB-D cameras,airport security check points,anthropometric feature-based classification,depth feature extraction,frontal gait recognition,hierarchical classification strategy,incomplete sequences,metal detector gate,motion feature extraction,red green blue-depth cameras,surveillance zone,Frontal gait recognition,Kinect RGB-D camera,absolute mean global velocity,depth data,fractional gait energy image,hierarchical classification,local mean position,skeleton data | Journal | 9 |
Issue | ISSN | Citations |
11 | 1556-6013 | 3 |
PageRank | References | Authors |
0.44 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pratik Chattopadhyay | 1 | 52 | 6.81 |
Shamik Sural | 2 | 1008 | 96.36 |
Jayanta Mukherjee | 3 | 378 | 56.06 |