A motion detection method is used to abstract multiple moving objects. The motion detection method uses a first frame and a second frame to locate the moving objects appearing in a fixed scene. The method includes calculating a difference of each pixel between the first frame and the second frame, comparing each difference with a first threshold value for generating a plurality of first contours, comparing each difference with a second threshold value for generating a plurality of second contours, picking any of the second contours which overlapped with the first contours for generating corresponding moving blocks, determining whether the pixels located outside the moving blocks are background pixels, and comparing the parameter of each background pixel located inside the moving blocks with its corresponding background value for determining pixels related to the moving objects.
A human identification apparatus, which can judge for identification of human images even in temporally-distant frames or frames shot with different cameras, judges whether or not persons represented by human images respectively included in different image sequences are the same person, and includes: a walking posture detecting unit which detects first and second walking sequences, each sequence being an image sequence indicating a walking state of respective first and second persons respectively included in the different image sequences; and a walking state estimating unit which estimates a transition state of a walking posture in the periodic walking movement of the first person at a time or in a position different from a time or a position of the walking sequence of the first person; and a judging unit which verifies whether or not the estimated transition state of the walking posture of the first person matches the transition state of the walking posture of the second person, and judges that the first person and the second person are the same person in the case where the transition states match with each other.
