Deep learning integrated tracking algorithm based on target movement trajectory prediction

The invention discloses a deep learning integrated tracking algorithm based on target movement trajectory prediction. The algorithm comprises the steps: firstly reading a video frame sequence, and obtaining an initial frame image; then initializing a target tracking position, and calculating semantic information pre_label of a tracking target by using a detection algorithm; calculating a color feature average template S; judging whether a detection algorithm can be started or not; predicting the moving direction of the target object according to the t-5 frame and the t-15 frame, and screening k potential target objects of which the semantics is pre_label; and finally, respectively extracting three color features of the K target objects and performing similarity calculation on the three color features and the template S, selecting a maximum similarity value SDr from K similarity results, and if SDr is greater than tp, performing deviation correction on a tracking result by using a target object tracking frame