Bees for block matching

Detection of moving objects in a video sequence is a growing field, used in various domains. There are, in the literature, several approaches to detect such movements. In this paper, we will focus on one of these approaches namely block matching. We propose to speed the performances of the block matching algorithm using the Bees´ Algorithm which is known for its efficient exploration of search space as it uses two interesting strategies intensification and diversification. The proposed algorithm, BAforBM, is evaluated and compared to two existing ones: genetic bloc matching algorithm and a block matching algorithm based on PSO (Particule Swarm Optimisation).