Gait Based Human Recognition with Various Classifiers Using Exhaustive Angle Calculations in Model Free Approach - Circuits and Systems

CS > Vol.7 No.8, June 2016

Circuits and Systems

Volume 7, Issue 8 (June 2016)

ISSN Print: 2153-1285 ISSN Online: 2153-1293

Google-based Impact Factor: 0.48 Citations

Gait Based Human Recognition with Various Classifiers Using Exhaustive Angle Calculations in Model Free Approach ()

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Download as PDF (Size: 951KB) PP. 1465-1475

DOI: 10.4236/cs.2016.78128 2,413 Downloads 3,554 Views Citations

Author(s)

S. M. H. Sithi Shameem Fathima¹, R. S. D. Wahida Banu², S. Mohamed Mansoor Roomi³

Affiliation(s)

¹Department of ECE, Syed Ammal Engineering College, Ramanathapuram, India.
²Department of ECE, Government College of Engineering, Salem, India.
³Department of ECE, Thiagarajar College of Engineering, Madurai, India.

ABSTRACT

Human Gait recognition is emerging as a supportive biometric technique in recent years that identifies the people through the way they walk. The gait recognition in model free approaches faces the challenges like speed variation, cloth variation, illumination changes and view angle variations which result in the reduced recognition rate. The proposed algorithm selected the exhaustive angles from head to toe of a person, and also height and width of the same subject. The experiments were conducted using silhouettes with view angle variation, and cloth variation. The recognition rate is improved to the extent of 91% using Support vector machine classifier. The proposed method is evaluated using CASIA Gait Dataset B (The institute of Automation, ChineseAcademy of Sciences), China. Experimental results demonstrate that the proposed technique shows promising results using state of the art classifiers.

KEYWORDS

Gait Recognition, CASIA Gait Dataset B, Classifiers

Share and Cite:

Fathima, S. , Banu, R. and Roomi, S. (2016) Gait Based Human Recognition with Various Classifiers Using Exhaustive Angle Calculations in Model Free Approach. Circuits and Systems, 7, 1465-1475. doi: 10.4236/cs.2016.78128.

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[3]	Human Gait Identification System Based on Transfer Learning
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[4]	Human Gait identification System
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[5]	EXPLOITING VISUAL CUES FOR LEARNING GAIT PATTERNS ASSOCIATED WITH NEUROLOGICAL DISORDERS
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