Gait recognition using low spatial and temporal resolution videos

• Published in: 2nd International Workshop on Biometrics and Forensics pp. 1 - 6
• Main Authors: Das Choudhury, Sruti, Yu Guan, Chang-Tsun Li
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2014
• Subjects: Cameras; dual-tree complex wavelet transform; gait keyframe image; Gait recognition; Image reconstruction; Probes; Procrustes image distance; Spatial resolution; Video sequences; weighted Krawtchouk moments
• DOI: 10.1109/IWBF.2014.6914252

Due to limited transmission bandwidth and storage capacity, the gait sequences captured by a Closed Circuit Television (CCTV) camera are recorded at low frame-rates with low spatial resolution, which significantly affect the performance of a gait recognition method. Thus, this paper proposes a gait recognition method which uses dual-tree complex wavelet transform for spatial resolution enhancement of the input low resolution silhouettes. To achieve invariance to low frame-rate gait sequences, the method determines seven key frames from a gait sequence based on silhouette matching by weighted Krawtchouk moments to form a Gait Keyframe Image (GKI). The subjects are identified based on a similarity score obtained by Procrustes image distance between the gallery and probe GKIs. Experimental analysis on OU-ISIR gait dataset D demonstrates the efficacy of the method.