Anomalous Motion Identification for Bank Surveillance |
Author(s): |
| Shefali Shahane , GES’s R. H. Sapat College of Engineering, Management Studies and Research, Nashik, India; Shreya Dajgude , GES’s R. H. Sapat College of Engineering, Management Studies and Research, Nashik, India; Shreya Sisodia, GES’s R. H. Sapat College of Engineering, Management Studies and Research, Nashik, India; Aditi Darade, GES’s R. H. Sapat College of Engineering, Management Studies and Research, Nashik, India; Mr. Rahul Chakre, GES’s R. H. Sapat College of Engineering, Management Studies and Research, Nashik, India |
Keywords: |
| Kinect, Posture Recognition, Abnormal Behaviour, Skeleton Discovery |
Abstract |
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Posture recognition is one of the most exciting areas of computer vision, due to the wide range of applications in various fields. The problems of the previous system, a simple camera, can be resolved with the help of a 3-d camera. In this study, methods for the use of the structure of the information to be provided by the Kinect 3-d camera for the purpose of recognition for the successful real-time intelligent monitoring and control. To achieve the orientation of the recognition, the system can make use of the Kinect to track the bones, joints, and the position. Through the analysis of the information contained on the site, the system will detect improper conduct. |
Other Details |
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Paper ID: IJSRDV9I60022 Published in: Volume : 9, Issue : 6 Publication Date: 01/09/2021 Page(s): 70-74 |
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