Abstract: In the field of video processing, a detection and tracking method and apparatus, and a storage medium, are provided. The method includes: performing feature point analysis on a video frame sequence, to obtain feature points on each video frame thereof; performing target detection on an extracted frame through a first thread based on the feature points, to obtain a target box in the extracted frame; performing 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 outputting the result target box. As the target detection and the target tracking are divided into two threads, a tracking frame rate is unaffected by a detection algorithm, and the target box of the video frame can be outputted in real time, improving real-time performance and stability.

Abstract: A method of generating a flight path includes obtaining an image and a curve, the curve being plotted on the image. The method also includes generating the flight path based on the image and the curve, the flight path being configured for controlling an unmanned aerial vehicle (UAV) to fly along the flight path.

Abstract: A navigation processing method includes displaying an image at a graphical user interface. The image is obtained by an imaging device provided at a movable object. The method also includes determining, in response to receiving a location selection operation at the graphical user interface, location information of a location point selected by the location selection operation in the image. The method further includes controlling the movable object to move toward a target navigation point, the target navigation point being obtained based on the location information.

Abstract: An obstacle detection method includes obtaining a base image captured by a camera of a moveable object while the moveable object is at a first position and extracting an original patch from the base image. The original patch corresponds to a portion of the base image that includes a feature point. The method further includes obtaining a current image captured by the camera while the moveable object is at a second position, determining a scale factor between the original patch and an updated patch in the current image that corresponds to a portion of the current image that includes the feature point with an updated location, and obtaining an estimate of a corresponding object depth for the feature point in the current image based on the scale factor and a distance between the first position and the second position.