14 December 1998 Moving object detection method using H.263 video coded data for remote surveillance systems
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Abstract
This paper describes a moving object detection method using H.263 coded data. For video surveillance systems, it is necessary to detect unusual states because there are a lot of cameras in the system and video surveillance is tedious in normal states. We examine the information extracted from H.263 coded data and propose a method of detecting alarm events from that information. Our method consists of two steps. In the first step, using motion vector information, a moving object can be detected based on the vector's size and the similarities between the vectors in one frame and the two adjoining frames. In the second step, using DCT coefficients, the detection errors caused by the change of the luminous intensity can be eliminated based on the characteristics of the H.263's DCT coefficients. Thus moving objects are detected by analyzing the motion vectors and DCT coefficients, and we present some experimental results that show the effectiveness of our method.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Atsushi Kohno, Toshihiko Hata, and Minoru Ozaki "Moving object detection method using H.263 video coded data for remote surveillance systems", Proc. SPIE 3641, Videometrics VI, (14 December 1998); doi: 10.1117/12.333789; https://doi.org/10.1117/12.333789
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