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Proceedings Paper

Moving Object Tracking Using Local Windows
Author(s): Mehmet Celenk; Hasnain Reza
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Paper Abstract

This paper describes a new technique for the analysis of a sequence of time-varying images taken by a stationary camera. The proposed algorithm is divided into three stages; (i) motion detection, (ii) object location, and (iii) trajectory tracing. In the first stage, two consecutive images are compared and a difference image is formed to detect the presence of any motion. A subimage is then defined in the difference image as the active region in which the motion is analyzed. In the second stage, the subimage is compared with both previous and next frames. The local windows enclosing the object are determined in each respective image. These windows are then used by the last stage for tracing the trajectory of the moving object. Their centers of mass points are computed and ploted on a 2-D plane. The motion trajectory is obtained simply by joining these points. The presented approach is tested for both fast and slow motion cases using the real world images of moving objects in complex scenes.

Paper Details

Date Published: 5 September 1989
PDF: 13 pages
Proc. SPIE 1099, Advances in Image Compression and Automatic Target Recognition, (5 September 1989); doi: 10.1117/12.960459
Show Author Affiliations
Mehmet Celenk, Ohio University (United States)
Hasnain Reza, Ohio University (United States)

Published in SPIE Proceedings Vol. 1099:
Advances in Image Compression and Automatic Target Recognition
Andrew G. Tescher, Editor(s)

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