An Embedded Real-Time Surveillance System: Implementation and Evaluation

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 ...

• Type: Journal
• Year: 2008
• Where: VLSISP
• Authors: Fredrik Kristensen, Hugo Hedberg, Hongtu Jiang, Peter Nilsson, Viktor Öwall
• Keywords: Embedded System, Real-time Performance, Video Segmentation, VLSISP 2008