Xi'an Institute of Aeronautics, Xi'an 710077, China
In the massive amount of surveillance video data, users only need to extract a small amount of useful information of key events, and these events are only small-probability events. How to obtain the information you want from a huge amount of data, or how to achieve intelligent monitoring of the events that have occurred, has become a new research direction for security surveillance systems. This article explores an optimized object search calculation method for a hybrid Gaussian model. This calculation method uses the background difference method to find moving objects, and uses an optimized hybrid Gaussian model to reconstruct the background picture, which significantly improves the recognition accuracy of moving target detection. In the past, monitoring only stored audio and video without alarming itself. The situation has changed, which makes the security monitoring system able to provide real-time alarm messages for the school's security staff on duty, and it is hoped that the campus's emergency response capabilities can be significantly improved.
Video surveillance, Hybrid gaussian model, Moving target detection
Wang Qian. Conception of Campus Security Surveillance and Alarm System Based on Moving Object Detection. The Frontiers of Society, Science and Technology (2020) Vol. 2 Issue 6: 88-92. https://doi.org/10.25236/FSST.2020.020619.
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