Improved dynamic programming algorithm for tracking small target of low-manoeuvring

An update dynamic programming algorithm is presented in allusion to the features of the moving infrared small dim target. The main idea of this algorithm is that the predicting states between frames and a low threshold are applied to reduce the computation. The background noise is suppressed by the image pre-processing. The probability of detecting and false alarm are used to determine the threshold of image. Then its performance is evaluated, and some application problems are discussed. The point-trajectory sharing is used to process the candidate trajectories, which can abstract the small target accurately. Finally, the algorithm is verified feasible and performs well in the detection, recognition and track under low signal to noise ratio through simulation experiment.