Relating image, shape, position, and velocity in visual tracking

Sebastien Wong; David Kearney

doi:10.1117/12.817891

4 May 2009 Relating image, shape, position, and velocity in visual tracking

Sebastien Wong, David Kearney

Proceedings Volume 7338, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII; 73380B (2009) https://doi.org/10.1117/12.817891
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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).

Citation Download Citation

Sebastien Wong and David Kearney "Relating image, shape, position, and velocity in visual tracking", Proc. SPIE 7338, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII, 73380B (4 May 2009); https://doi.org/10.1117/12.817891

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