Abstract
Abstract
The traditional incremental learning tracking algorithm tends to drift or lose track when the pedestrian is occluded and the background is similar to the pedestrian target. This paper proposes a pedestrian tracking algorithm based on improved incremental learning. According to the difference between the central position of the current observation model and that of the previous one, the reliability of the observation model can be judged, and then the forgetting factor can be adjusted, so that the observation model can adapt to the changes of pedestrian targets. The experimental results show that the improved algorithm can track the pedestrian target accurately and effectively in the occlusion scene.