Human gait recognition based on compactness

Feng Chen; Jie Jiang; Guangjun Zhang

doi:10.1117/12.806574

13 October 2008 Human gait recognition based on compactness

Feng Chen, Jie Jiang, Guangjun Zhang

Proceedings Volume 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence; 712727 (2008) https://doi.org/10.1117/12.806574
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

Gait recognition is new biological identity technology and widely researched in recent years for its many advantages compared with other biological identity technology. In this paper, we propose a simple but effective feature-compactness for gait recognition. First an improved background subtraction algorithm is used to obtain the silhouettes. Then the compactness is extracted from the images in the gait sequence as the feature vector. In the step of classification, DTW algorithm is adopted to adjust the feature vectors before classifying and two classifiers (NN and ENN) are used as classifiers. Because of the simple features which we choose, it consumes little time for recognition and the results turn out to be encouraging.

Citation Download Citation

Feng Chen, Jie Jiang, and Guangjun Zhang "Human gait recognition based on compactness", Proc. SPIE 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence, 712727 (13 October 2008); https://doi.org/10.1117/12.806574

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