Pedestrian Movement Tracking Model in Road Environment Based on UAV Video
Hongxiao Lin and Hui Sun · International Journal of Frontiers in Sociology · 2020
The development of science and technology provides new methods for traffic flow survey, the method based on UAV video is one of the widely used methods. UAV is widely used in many kinds of monitoring and measurement due to its advantages. In particular, its flexibility is more applicable to the pedestrian flow survey. However, due to the randomness and uncertainty of pedestrian movement, as well as the many obstacles on the pedestrian road, the UAV cannot accurately track and locate the pedestrian movement, resulting in poor application effect and low measurement accuracy. Based on this, this paper proposes a method of pedestrian tracking model in road environment based on UAV video, which can effectively track and locate pedestrians. The calculation model in this paper is compared with other algorithm models. The results show that the calculation results in this paper are better than other methods, and the accuracy of the model used in this paper can be effectively overcome. In order to overcome the obstacles in the process of tracking, accurate positioning can be carried out to improve the tracking accuracy, which can provide reference for the follow-up research.