Abstract: An object detection method and an object detection system are provided. The object detection method includes the following steps. An object selected range in a current image is filtered out to obtain a background range. An object foreground range and an object background range are obtained from the object selected range. If the number of object foreground moving vectors corresponding to the object foreground range is greater than the number of background moving vectors in the object background range, a foreground moving trend of the object foreground moving vectors corresponding to the object foreground range is calculated. The object selection range of the current image is updated according to the foreground moving trend of the object foreground moving vectors corresponding to the object foreground range or a background moving trend of the background moving vectors corresponding to the background range.

Abstract: A method and an apparatus for object recognition are provided. The method includes: receiving a video including a plurality of frames, and separating the frames into a plurality of frame groups; executing object recognition on a specific frame in each of the frame groups to recognize at least one object in the specific frame; dividing a bounded area of each object into a plurality of sub-blocks, and sampling at least one feature point within at least one of the sub-blocks; and tracking each object in the frames in the frame group according to a variation of the feature point in the frames in the frame group.