Human gait recognition using temporal slices

被引：0

作者：

Srivastava, Shruti ^{[1
]}

Sural, Shamik ^{[1
]}

机构：

[1] Indian Inst Technol, Sch Informat Technol, Kharagpur 721302, W Bengal, India

来源：

PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS | 2007年 / 4815卷

关键词：

gait biometrics; temporal slices; tensor histogram; multiclass SVM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Gait along with body structure has been recognized as a potential biometric feature for identifying human beings. The spatial and temporal shape of motion of an individual is usually the same for all gait cycles and is considered to be unique to that individual. In this paper we introduce a Temporal Slice based approach for gait recognition. Temporal Slices are a set of two-dimensional images extracted along the time dimension of an image volume. They encode a rich set of visual patterns for similarity measure and have been widely used for motion detection. We show that the features obtained from tensor histogram of these temporal slices can be efficiently used as gait features for recognition of human beings.

引用

页码：592 / 599

页数：8

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