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- W2153977424 abstract "The term gait recognition is typically used to signify the identification of individuals in image sequences ‘by the way they walk’. There is an increased interest in gait as a biometric, mainly due to its non-intrusive as well as non-concealable nature. Considerable research efforts are being devoted in the computer vision community to characterize and extract gait dynamics automatically from video. The objective is to use gait as a filter (indicator) to effectively enhance the overall recognition performance of a system that uses multiple modalities. In this proposal, we present (describe) two different gait recognition methods; a non-parametric method that uses the self-similarity plot of a walking sequence as the input feature for classification; and a parametric method that estimates the spatiotemporal parameters of gait (the cadence and stride length) and exploits their linear relationship as a cue for identification. Finally, because carried loads are gait-altering, we also present a motion-based method to detect whether a walking person carries an object (load)." @default.
- W2153977424 created "2016-06-24" @default.
- W2153977424 creator A5029232479 @default.
- W2153977424 date "2001-10-10" @default.
- W2153977424 modified "2023-09-27" @default.
- W2153977424 title "Gait as a Biometric for Person Identification in Video Sequences" @default.
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