1. Gait Recognition By Arshiya Khan

2. Biometrics • 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. Classifications • Biometric systems: • Verification • Identification • Biometric devices: • Positive Identification • Negative Identification

4. Examples of Biometrics • Fingerprint • Handwritten signature • Facial recognition • Speech recognition • Gait recognition

5. What is Gait recognition • 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

6. Gait Recognition Algorithm

7. Human Detection and Tracking

8. FEATURE EXTRACTION • Silhouette Representation • 2D silhouettes are changed into an associated sequence of 1D signals • di=((xi-xc)2+(yi-yc)2)1/2

9. RECOGNITION

10. CONCLUSION • Subject to the effects of different types of clothes. • Lack of generality of viewing angles.

11. References • “Silhouette Analysis-Based Gait Recognition for Human Identification” http://www.sinobiometrics.com/publications/lwang/PAMI.pdf • “Gait Recognition Using Static, Activity-Specific Parameters “http://www.cc.gatech.edu/cpl/amos/mypapers/cvpr2001_Gait.pdf • “A Newly Emergent Study: Gait Recognition“ http://www.sinobiometrics.com/gait.htm