
Proceedings Paper
Relating image, shape, position, and velocity in visual trackingFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper solves four problems associated with typical correlation tracking systems. The first problem is that
uncertainty in the position observation of an object is not propagated from the detection stage to the tracking stage. The
second problem is that the shape of the reference template always lags the actual shape of the object. The third problem
is the need for a separate acquisition process to generate the initial reference template. The fourth problem is the inability
to track multiple objects. To overcome these problems we developed the Shape Estimating Filter (SEF), a homogeneous
extension of the basic correlation tracker; and its multi-target counterpart the Competitive Attentional Correlation
Tracker using Shape (CACTuS).
Paper Details
Date Published: 4 May 2009
PDF: 20 pages
Proc. SPIE 7338, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII, 73380B (4 May 2009); doi: 10.1117/12.817891
Published in SPIE Proceedings Vol. 7338:
Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII
Steven L. Chodos; William E. Thompson, Editor(s)
PDF: 20 pages
Proc. SPIE 7338, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII, 73380B (4 May 2009); doi: 10.1117/12.817891
Show Author Affiliations
Sebastien Wong, Defence Science and Technology Organisation (Australia)
Univ. of South Australia (Australia)
Univ. of South Australia (Australia)
David Kearney, Univ. of South Australia (Australia)
Published in SPIE Proceedings Vol. 7338:
Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII
Steven L. Chodos; William E. Thompson, Editor(s)
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