An Embedded Real-Time Surveillance System: Implementation and Evaluation |
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Authors: | Fredrik Kristensen Hugo Hedberg Hongtu Jiang Peter Nilsson Viktor Öwall |
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Affiliation: | (1) CCCD, Department of Electrical and Information Technology, Lund University, Box 118, 221 00 Lund, Sweden |
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Abstract: | This paper presents the design of an embedded automated digital video surveillance system with real-time performance. Hardware accelerators for video segmentation, morphological operations, labeling and feature extraction are required to achieve the real-time performance while tracking will be handled in software in an embedded processor. By implementing a complete embedded system, bottlenecks in computational complexity and memory requirements can be identified and addressed. Accordingly, a memory reduction scheme for the video segmentation unit, reducing bandwidth with more than 70%, and a low complexity morphology architecture that only requires memory proportional to the input image width, have been developed. On a system level, it is shown that a labeling unit based on a contour tracing technique does not require unique labels, resulting in more than 50% memory reduction. The hardware accelerators provide the tracking software with image objects properties, i.e. features, thereby decoupling the tracking algorithm from the image stream. A prototype of the embedded system is running in real-time, 25 fps, on a field programmable gate array development board. Furthermore, the system scalability for higher image resolution is evaluated. |
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Keywords: | hardware FPGA real-time surveillance segmentation morphology labeling tracking image features embedded system video processing |
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