Moving Object Detection Algorithm Based on Adaptive Clustering

A multi-moving target detection technique based on adaptive clustering and alpha-beta filtering is proposed and applied to the detection and tracking of moving targets. The main feature of this algorithm is the adaptive selection of initial cluster centers. Track initiation can be performed for multiple targets at the same time, which reduces the blindness of target search and improves the reliability and efficiency of radar track initiation. Experiments have proved the effectiveness and reliability of the algorithm.