1. GAIT RECOGNITION USING INFRARED

2. WHAT IS GAIT ? Gait is a behavioral characteristics of a person. Recognition using gait means to identify a person by the way he move or walk. Human gait recognition works from the observation that an individuals walking style is unique and can be used for human identification. 3. It is a smart surveillance systems from security- sensitive areas Eg :- Banks - To alert security officers to a suspicious individual or unknown individual wandering about the premises. Parking Lots Airports WHERE CANWE USETHESE FEATURE? 4. Other than the individual, that cause variations in gait, including Footwear Terrain Fatigue injury Muscle development Training Personal idiosyncrasies Injury Footwear Terrain Fatigue CHALLENGE S 5. The camera is static and the only motion within the field of view is that of the moving person The subject is monitored by multiple cameras so that the subject presents a side view to at least one of the cameras. ASSUMPTIO N 6. Unlike a regular camera which records reflected visible light, a long wave infrared camera records electromagnetic radiation emitted by objects in a scene. So, human silhouettes can be easily extracted from the background regardless of lighting conditions and colors of the human surfaces and backgrounds WHYWE USE INFRARED? 7. FIRST PHASE OF GAIT RECOGNITION SYSTEM Store feature in Database Target frame CASIA images 8. BACKGROUND SUBTRACTION Background Image Original Image Extracted boundary box 9. Mean Intensity Height , width FEATURE EXTRACTION Height Width Detection of height and width of a frame 10. Area Centroid FEATURE EXTRACTION 11. Diameter FEATURE EXTRACTION 12. CASIA images Yes SECOND PHASE OF GAIT RECOGNITION SYSTEM No 13. DATA SET 14. Experiment was performed on different datasets. This dataset is divided into 2 set, first contains the video sequences frame feature and second contains CASIA database frames features as shown in table. Each contains the silhouette and extracted features from different persons walking frame. Experiments performed on Matlab. EXPERIMENT AND RESULT 15. Gait recognition is one kind of biometric technology that can be used to monitor people without their cooperation. Controlled environments such as banks, military installations and even airports need to be able to quickly detect threats and provide differing levels of access to different user groups. CONCLUSI ON 16. Khan,H. Rathore,y., Study and Analysis of Human Gait to Recognize thePerson ,India, vol.2, pp., 2013. Liang Wang, Tieniu Tan. Huazhong Ning. and Weiming Hu., Silhouette Analysis-Based Gait Recognition for Human Identification IEEE Transaction on PAMI, Vol.25, pp 1505-1518, 2003. Shaveta Chauhan et al., Review On: GAIT RECOGNITION USING BPNN & SVM, International Journal of Computer Application and Technology, pp. 63-67 ,2014. Daehee Kim. Seungwon Lee. and Jooki Paik ., Active Shape Model-Based Gait Recognition Using Infrared Images, Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University, 221 Heuksuk-Dong, Dongjak-Ku, Seoul 156-756, Korea, Vol. 2 ,2009. REFERENC ES