Abstract: Aiming at the interference on abnormal objects recognition caused by complex environment and bad weather, a track abnormal objects detection method in foggy weather based on inter-frame differential optimization is proposed. Decentralized evaluation is introduced to realize the inter-frame differential optimization algorithm of multi-frame continuous recognition. Ablation experiments are performed with this algorithm and other detection algorithms to verify the feasibility of the optimized algorithm.