Abnormal Activity Detection and Alert System in ATM Centers |
Author(s): |
| Alekhya M.K. , RYMEC; Niharika G, RYMEC; M. Prathibha, RYMEC; Joshi Priyanka, RYMEC; H CHIDANANDHA, RYMEC |
Keywords: |
| abnormal activity, activity detection, alert system, ATM center |
Abstract |
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Now-a-days Automated teller machines (ATM) are widely being used for banking transactions and are becoming one of the necessities of everyday life. ATMs facilities like withdrawal, deposit, and transfer of money from one account to another account have become a part of life. However, this convenience is ruined by criminal activities like money snatching and attack on customers, which are increasingly affecting the security of bank customers in daily life. In this paper, we propose a video based framework that efficiently identifies abnormal activities happening at the ATM centers and an alarm is generated during any unusual incidence. A Video frame Histogram difference is proposed method used to identify the abnormal activities from video sequence. The proposed framework is able to distinguish the normal and abnormal activities like money snatching, harm to the customer, or attack on the customer. |
Other Details |
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Paper ID: IJSRDV8I30423 Published in: Volume : 8, Issue : 3 Publication Date: 01/06/2020 Page(s): 529-533 |
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