Application of BP neural networks for moving target detection under complicated background

This paper aims at utilizing BP neural network and improved BP neural network in the extraction of moving targets from the static background and the motor background. Across introduces the BP neural network model and its faults and L_M Optimize BP neural networks to improve the neural network with the difference between the consecutive frames or difference from the background for the extraction of moving targets. The paper uses a trained network in the BP methods and one types of image segmentation improved BP neural network for extraction of moving targets from the static background. We will obtain the same moved targets with the extraction of moving targets from the static background and the motor background. After experimental verification, this method on different objects in the context of the same detection ability is better.