Automated real-time video surveillance algorithms for SoC implementation: A survey

Numerous techniques and algorithms have been developed and implemented, primarily in software, for object tracking, detection and recognition. A few attempts have been made to implement some of the algorithms in hardware. However, those attempts have not yielded optimal results in terms of accuracy, power and memory requirements. The aim of this paper is to explore and investigate a number of possible algorithms for real-time video surveillance, revealing their various theories, relationships, shortcomings, advantages and disadvantages, and pointing out their unsolved problems of practical interest in principled way, which would be of tremendous value to engineers and researchers trying to decide what algorithm among those many in literature is most suitable to specific application and the particular real-time System-on-Chip (SoC) implementation.