Moving Object Detection Algorithm Based on AOS Scheme

A novel energy model is defined for moving object detection according to energy-minimizing conception and the corresponding curve evolution equation is given. Combined with level set method, the proposed model can adapt to topological change automatically, and detect multiple moving targets with their contours. Based on the difference of logarithmic images, a novel image energy term is designed to make it adaptable to large variation of scene illumination over time domain. An additive operator splitting (AOS) based scheme is introduced as unconditionally stable numerical method to speed up the proposed algorithm.