1992
DOI: 10.1117/12.58609
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<title>Correspondence using property coherence</title>

Abstract: This paper presents a generalization of the correspondence approach of Sethi and Jam [13] by extending the path coherence criterion to high dimensional vector space. This allows the same correspondence procedure to be used for a variety of tokens including points, lines, planes, and regions. To demonstrate the generalized approach, we apply it to track lines and present experimental results.

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Cited by 2 publications
(1 citation statement)
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“…Path coherence implies the smooth changing of motion speed and direction. The path coherence technique was later generalized to property coherence by Sethi et al [23]. They gave an example of tracking line segment tokens based on the coherence of a ®ve-dimensional property space with midpoint coordinates (x m ; y m ) of the line, line length r, line orientation h, and the directed distance of the line token from the image origin, d, as the token attributes.…”
Section: Token Tracking Techniques: the Correspondence Problemmentioning
confidence: 99%
“…Path coherence implies the smooth changing of motion speed and direction. The path coherence technique was later generalized to property coherence by Sethi et al [23]. They gave an example of tracking line segment tokens based on the coherence of a ®ve-dimensional property space with midpoint coordinates (x m ; y m ) of the line, line length r, line orientation h, and the directed distance of the line token from the image origin, d, as the token attributes.…”
Section: Token Tracking Techniques: the Correspondence Problemmentioning
confidence: 99%