Method and apparatus for detection and tracking, and storage medium

A detection and tracking apparatus, comprising:

• at least one memory configured to store computer program code;
• and
• at least one processor configured to operate as instructed by the computer program code, the computer program code including:
• analysis code configured to cause the at least one processor to perform feature point analysis on a video frame sequence, to obtain feature points on each video frame in the video frame sequence,
• detection code configured to cause the at least one processor to perform target detection on an extracted frame through a first thread based on the feature points, to obtain a target box in the extracted frame, the extracted frame being a video frame extracted in the video frame sequence with at least one frame skipped between the extracted frame and another video frame of the video frame sequence, an amount of skipping being based on a target step size,
• tracking code configured to cause the at least one processor to perform target box tracking in a current frame through a second thread based on the feature points and the target box in the extracted frame, to obtain a result target box in the current frame, and
• output code configured to cause the at least one processor to output the result target box in the current frame,
• wherein the tracking code is further configured to cause the at least one processor to, when the first thread outputs a first target box detected in a latest extracted frame before the current frame, track the first target box and a second target box tracked in a previous frame of the current frame in the current frame through the second thread based on the feature points, to obtain the result target box in the current frame.

A non-transitory computer-readable storage medium, storing a computer program that, when executed by at least one processor, causes the at least one processor to:

• perform feature point analysis on a video frame sequence, to obtain feature points on each video frame in the video frame sequence;
• perform target detection on an extracted frame through a first thread based on the feature points, to obtain a target box in the extracted frame, the extracted frame being a video frame extracted in the video frame sequence with at least one frame skipped between the extracted frame and another video frame of the video frame sequence, an amount of skipping being based on a target step size;
• perform target box tracking in a current frame through a second thread based on the feature points and the target box in the extracted frame, to obtain a result target box in the current frame;
• and
• output the result target box in the current frame,
• wherein performing of the target box tracking in the current frame comprises, when the first thread outputs a first target box detected in a latest extracted frame before the current frame, tracking the first target box and a second target box tracked in a previous frame of the current frame in the current frame through the second thread based on the feature points, to obtain the result target box in the current frame.