Real-time multi-camera video analytics system on GPU |
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Authors: | Puren Guler Deniz Emeksiz Alptekin Temizel Mustafa Teke Tugba Taskaya Temizel |
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Affiliation: | 1.Graduate School of Informatics,Middle East Technical University,Ankara,Turkey |
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Abstract: | In this article, parallel implementation of a real-time intelligent video surveillance system on Graphics Processing Unit (GPU) is described. The system is based on background subtraction and composed of motion detection, camera sabotage detection (moved camera, out-of-focus camera and covered camera detection), abandoned object detection, and object-tracking algorithms. As the algorithms have different characteristics, their GPU implementations have different speed-up rates. Test results show that when all the algorithms run concurrently, parallelization in GPU makes the system up to 21.88 times faster than the central processing unit counterpart, enabling real-time analysis of higher number of cameras. |
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