Gait Recognition for Human Identification Using Fourier Descriptor and Anatomical Landmarks | Zendy

Mridul Ghosh | Zendy; Debotosh Bhattacharjee | Zendy

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Gait Recognition for Human Identification Using Fourier Descriptor and Anatomical Landmarks

Author(s) -

Mridul Ghosh,

Debotosh Bhattacharjee

Publication year - 2015

Publication title -

international journal of image graphics and signal processing

Language(s) - English

Resource type - Journals

eISSN - 2074-9082

pISSN - 2074-9074

DOI - 10.5815/ijigsp.2015.02.05

Subject(s) - artificial intelligence , computer science , computer vision , gait , fourier transform , identification (biology) , frame (networking) , pattern recognition (psychology) , ankle , feature extraction , wrist , mathematics , physical medicine and rehabilitation , medicine , anatomy , telecommunications , mathematical analysis , botany , biology

This paper presents a gait recognition method which is based on spatio-temporal movement characteristics of human subject with respect to surveillance camera. Different measures, like leg rise from ground (LRFG), the angles created between the legs with the centre of Mass (ABLC), angles created between the Centre of Mass Knee and Ankle with the (CKA), angles created between Centre of Mass, Wrist and knee (CWK), the distances between the control points and centre of Mass (DCC) have been taken as different features. Fourier descriptor has been used for shape extraction of individual frames of a subject. Statistical approach has been used for recognition of individuals based on the n feature vectors, each of size 23(collected from LRFG, ABLCs, CKA, CWK and DCCs) for each video frame. It has been found that recognition result of our approach is encouraging with compared to other recent methods.

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