Title
Frontal Gait Recognition From Incomplete Sequences Using RGB-D Camera
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 Chattopadhyay1526.81
Shamik Sural2100896.36
Jayanta Mukherjee337856.06