Automatic multi-gait recognition using pedestrian’s spatiotemporal features

• Published in: The Journal of supercomputing Vol. 79; no. 17; pp. 19254 - 19276
• Main Authors: Khan, Muhammad Hassan, Azam, Hiba, Farid, Muhammad Shahid
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2023; Springer Nature B.V
• Subjects: Algorithms; Compilers; Computer Science; Datasets; Gait recognition; Interpreters; Pedestrians; Processor Architectures; Programming Languages; Representations; Support vector machines; Walking; Biometrics; Spatiotemporal features; Gait recognition; Gaussian mixture model; Multi-gait

This paper presents an automatic technique to detect and track the multiple pedestrians for their identifications in a video sequence. Contrarily to the most existing approaches, the proposed technique does not require human silhouette segmentation from the video to build the gait representation. Ad...