Paper
24 August 1999 Foveate wavelet transform for moving target indexing
Jie Wei, Izidor Gertner
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie Wei and Izidor Gertner "Foveate wavelet transform for moving target indexing", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359962
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Cited by 1 scholarly publication.
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KEYWORDS
Video

Visual system

Wavelet transforms

Detection and tracking algorithms

Fast wavelet transforms

Image processing

Binary data

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