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Proceedings Paper

Temporal Segmentation Of Image Sequences
Author(s): I. K. Sethi; V. Salari; S. Vemuri
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Paper Abstract

Detection of motion discontinuity across time is an important issue in motion analysis using extended image sequences. Hitherto, this issue has not received its due attention because of the preoccupation of the dynamic scene researchers with the two-frame analysis approaches. However, with the increasing use of long image sequences in current motion research, it is desirable that methods to identify motion discontinuities across time be developed. In this paper, we present one such method to perform temporal segmentation of image sequences based on motion coherence. The proposed method is capable of detecting significant motion changes in the observer motion as well as in the motion of objects. Experimental results using real image sequences are presented to show the effectiveness of the proposed temporal segmentation process.

Paper Details

Date Published: 11 May 1987
PDF: 7 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940615
Show Author Affiliations
I. K. Sethi, Wayne State University (United States)
V. Salari, Wayne State University (United States)
S. Vemuri, Wayne State University (United States)


Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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