Gait Recognition for Human Identification Using Fourier Descriptor and Anatomical Landmarks

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Mridul Ghosh 1,* Debotosh Bhattacharjee 2

1. Department of Computer Science and Engineering, Supreme Knowledge Foundation Groups Of Institutions, Hooghly, India

2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

* Corresponding author.


Received: 18 Sep. 2014 / Revised: 3 Nov. 2014 / Accepted: 28 Nov. 2014 / Published: 8 Jan. 2015

Index Terms

Gait Recognition, Fourier Descriptor, centre of Mass, Mahalanobis Distance


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.

Cite This Paper

Mridul Ghosh, Debotosh Bhattacharjee,"Gait Recognition for Human Identification Using Fourier Descriptor and Anatomical Landmarks", IJIGSP, vol.7, no.2, pp.30-38, 2015. DOI: 10.5815/ijigsp.2015.02.05


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