A Block-based Motion Detection Algorithm with Adaptive Thresholds for Digital Video Surveillance Systems
Yun-Seok Yang, Dongho Lee · Journal of the Institute of Electronics Engineers of Korea · 2000
This paper proposes a block-based motion detection algorithm for digital video surveillance system which adaptively decides the threshold according to the kinds of images We first compute the features of a block after dividing each Image into small sub-block regions, and analyze performance of the motion detection algorithm based on statistic features by using the proposed threshold-decision method. Motion vectors are used to analyze motion degree and adaptively determine the threshold The simulation results show the performances of motion detection algorithms according to sub-block size, statistic features, noise, and threshold.