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Proceedings Paper

Moving object detection method using H.263 video coded data for remote surveillance systems
Author(s): Atsushi Kohno; Toshihiko Hata; Minoru Ozaki
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Paper 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.

Paper Details

Date Published: 14 December 1998
PDF: 12 pages
Proc. SPIE 3641, Videometrics VI, (14 December 1998); doi: 10.1117/12.333789
Show Author Affiliations
Atsushi Kohno, Mitsubishi Electric Corp. (Japan)
Toshihiko Hata, Mitsubishi Electric Corp. (Japan)
Minoru Ozaki, Mitsubishi Electric Corp. (Japan)

Published in SPIE Proceedings Vol. 3641:
Videometrics VI
Sabry F. El-Hakim; Armin Gruen, Editor(s)

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