A visual target tracking method and apparatus based on a deeply and densely connected neural network. The method includes: a data input step: inputting a target image of a first video frame and a second video frame in video data into a deeply and densely connected neural network; a target tracking step: performing, based on the target image, target detection on the second video frame by using the trained deeply and densely connected neural network; and a tracking result output step: outputting bounding box coordinates and a similarity graph of a target in the second video frame, determining the length and width of the target based on the bounding box coordinates, and determining a center position of the target based on the position of a maximum value in the similarity graph.
Visual target tracking method and apparatus based on deeply and densely connected neural network