Paper
5 September 1989 Moving Object Tracking Using Local Windows
Mehmet Celenk, Hasnain Reza
Author Affiliations +
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mehmet Celenk and Hasnain Reza "Moving Object Tracking Using Local Windows", Proc. SPIE 1099, Advances in Image Compression and Automatic Target Recognition, (5 September 1989); https://doi.org/10.1117/12.960459
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Automatic target recognition

Image compression

Motion analysis

Cameras

Motion detection

Image processing

Detection and tracking algorithms

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