Title :
Gait Recognition Method Based on Wavelet Transformation and its Evaluation with Chinese Academy of Sciences (CASIA) Gait Database as a Human Gait Recognition Dataset
Author :
Arai, Kohei ; Andrie, Rosa
Author_Institution :
Grad. Sch. of Sci. & Eng., Saga Univ., Saga, Japan
Abstract :
Human Gait: HG recognition method based on wavelet transformation is proposed. Using Chinese Academy of Sciences (CASIA), the proposed method is evaluated and is compared to the conventional HG recognition method without utilizing wavelet transformation. In particular, two preprocessing methods, model based and model free methods are attempted for the proposed HG recognition. Also 2D Discrete Wavelet Transform (DWT), and 2D lifting Wavelet Transform (LWT) level 1 decomposition are features in the proposed HG recognition method. Haar base function of wavelet transformation is also used for feature extraction in the proposed method. Experimental results with CASIA database show x % improvement in terms of correct classification performance in comparison to the conventional method.
Keywords :
discrete wavelet transforms; feature extraction; image classification; object recognition; visual databases; 2D discrete wavelet transform; 2D lifting wavelet transform; CASIA gait database; Chinese Academy of Sciences; classification performance; feature extraction; gait recognition method; human gait recognition dataset; model based preprocessing method; model free preprocessing method; wavelet transformation; Discrete wavelet transforms; Feature extraction; Humans; Mercury (metals); Skeleton; 2D Discrete Wavelet Transform (2D DWT); 2D Lifting Wavelet Transform (LWT); CASIA Gait Dataset; Haar Wavelet; Human Gait recognition;
Conference_Titel :
Information Technology: New Generations (ITNG), 2012 Ninth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-0798-7
DOI :
10.1109/ITNG.2012.164
