JOURNAL ARTICLE

Temporal Segmentation Of Image Sequences

Ishwar K. SethiValiollah SalariSrinikhil Saisatya Vemuri

Year: 1987 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 0786 Pages: 162-162   Publisher: SPIE

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.

Keywords:
Artificial intelligence Computer science Computer vision Segmentation Motion estimation Discontinuity (linguistics) Image segmentation Motion field Classification of discontinuities Motion analysis Motion (physics) Quarter-pixel motion Pattern recognition (psychology) Mathematics

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Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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