Gait recognition has become more popular and significant in the recent years due to security concerns since it can be carried out remotely without authorization. This article discusses the vision-based model and model-free feature extraction methods for identifying human gaits. Both methods are distinctive in and of themselves. The structural parts of the human body are dealt with via model-based approaches, including joint locations, joint angles, stride length/cadence, and 2D stick figures. Model-free techniques, including gait energy image, absolute frame difference image, gait history image, etc., give spatiotemporal information on gait silhouettes. Subject identification is made based on the high rate of recognition after approach-wise features are provided to classifiers. The important characteristics will then stand out.
A Vision-Based Feature Extraction Techniques for Recognizing Human Gait: A Review
Smart Innovation, Systems and Technologies
Congress on Control, Robotics, and Mechatronics ; 2023 ; Kota, India March 25, 2023 - March 26, 2023
Proceedings of Congress on Control, Robotics, and Mechatronics ; Chapter : 41 ; 529-538
2023-11-10
10 pages
Article/Chapter (Book)
Electronic Resource
English
Statistical Feature Fusion for Gait-Based Human Recognition
British Library Conference Proceedings | 2004
|Pedestrian gait analysis using automated computer vision techniques
Taylor & Francis Verlag | 2014
|