gait analysis
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The document discusses biometric authentication and gait recognition. It defines biometric authentication as using physiological or behavioral characteristics to identify individuals. Gait recognition specifically aims to identify people based on how their silhouette changes over time as they walk. While unobtrusive, gait recognition is subject to effects of clothing and viewing angles. The document outlines different biometric devices and modalities like fingerprints, facial recognition, and speech recognition. It also describes how gait recognition extracts 1D signals from 2D silhouettes to analyze an individual's walking pattern for identification.
gait analysis
- 1. SUBMITTED TO- SUBMITTED BY- MR. PRADEEP SHARMA MANOJ KUMAR (ASSISTANCE PROFESSOR) IT, 08EAIIT026
- 2. Authentication based on the physiological or behavioral characteristics of people It is a pattern recognition system at establishes a person’s identity by comparison of data . It’s authentication is "automatic", "real-time", "non- forensic" subset of the broader field of human identification.
- 3. Biometric systems: o Verification o Identification Biometric devices: o Positive Identification o Negative Identification
- 4. Fingerprint Handwritten signature Facial recognition Speech recognition Gait recognition
- 5. It aims to discriminate individuals by the way they walk It is unobtrusive. It depends on how the silhouette shape of an individual changes over time in an image sequence
- 8. Silhouette Representation 2D silhouettes are changed into an associated sequence of 1D signals di=((xi-xc)2+(yi-yc)2)1/2
- 10. Subject to the effects of different types of clothes. Lack of generality of viewing angles.
- 11. ANY QUESTION??