Gait Recognition: A Survey

G. Venkata Narasimhulu; Dr. S. A. K. Jilani

This paper describes on an over view of gait recognition. Principal Component Analysis (PCA) with Radon Transform (RT), Principal Component Analysis (PCA) without Radon Transform (RT), Linear Discriminant Analysis (LDA) with Radon Transform (RT), Linear Discriminant Analysis (LDA) without Radon Transform (RT), Principal Component Analysis (PCA) with Linear Discriminant Analysis (LDA) and Incremental PCA-LDA algorithms are applied for gait recognition. Gait Energy Image (GEI) has constructed to apply PCA with and without RT. LDA/PCA algorithm is used for face recognition. The Two techniques achieved equal error rates (EER) of 94.23%,82.28% and 90.38% for PCA and 96.15%,82.70% and 92.30% for PCA with RT for slow walk, fast walk and carrying a ball walk Radon Transform is used for gait representation and gait recognition. The Radon is used to detect features within an image. False alarm rate (FAR) is low for LDA+RT is compared to the FAR of LDA. LDA+RT is better than LDA. PCA and LDA based gait recognition algorithm is better than of based on PCA. Incremental PCA-LDA algorithm is applied for face recognition. Incremental PCA method is update the eigenspace model. The LDA method is update the fisher space model. Comparison of different methods of Gait Recognition based on different gait database of the Recognition rate is above 95%.

Select Volume / Issues:

• Volume 3 Issue 1, Jan. 2012

Year:

2012

Type of Publication:

Article

Keywords:

Gait Recognition; GEI; Principal Component Analysis PCA; Linear Discriminant Analysis LDA; Radon TransformRT

Journal:

IJECCE

Volume:

3

Number:

1

Pages:

33 - 40

Month:

January