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Proceedings Paper

Foveate wavelet transform for moving target indexing
Author(s): Jie Wei; Izidor Gertner
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Paper Abstract

In this paper, a novel video indexing scheme is proposed for moving target in videos acquired from active visual systems. By virtue of the object-centered nature of active videos, the extremely difficult correspondence problem is simplified greatly. With the Foveate Wavelet Transform, a novel variable resolution technique with desirable emulation of the animate vision system and direct image processing, as the representation of active videos, the object description for the object of primary interest during smooth pursuit can be generated in the foveal area based on the behavior of the motion field estimated from the two-pass MRF-MAP algorithm for motion estimation based on Mean Field theory. Afterwards, an illumination-invariant compressed histogram, merely 36 numbers, is generated as the index for this object.

Paper Details

Date Published: 24 August 1999
PDF: 7 pages
Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359962
Show Author Affiliations
Jie Wei, CUNY/City College (United States)
Izidor Gertner, CUNY/City College (United States)


Published in SPIE Proceedings Vol. 3718:
Automatic Target Recognition IX
Firooz A. Sadjadi, Editor(s)

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