Abnormal behavior recognition system for ATM monitoring by RGB-D camera

In this demo, we present an effective real-time system for ATM intelligent monitoring by using Kinect of Microsoft. With Kinect, we can easily detect people in ATM room and get their position information. By analyzing position information and video content, the system detects abnormal behaviors such as face-hiding, peeping and wandering, while records the time of these abnormal videos. Therefore, it not only prevents crimes but also helps to find suspects quickly after crimes have happened. The experimental results show that the system has the advantages of robustness, and provides a new mean for preventing financial crimes.