Algorithm based on the particle filter infrared TBD point moving target tracking

This paper presents a new low SNR infrared image sequences point target detection and tracking algorithm,the algorithm organically combines TBD detection algorithm with particle filter tracking algorithm.Through the first multi-frame TBD processed,the detection of moving objects initial position,velocity,and then tracking phase is estimated using particle filter target state,achievable signal to noise ratio is 2 points target detection and tracking.The infrared image sequences are actualized in experimental.The simulation results show that the algorithm has a good real-time with high accuracy.