Real-time wavelet-based target tracking

Kimberly A. Rosenberry-Friend; Larry E. Banta

doi:10.1117/12.326940

9 October 1998 Real-time wavelet-based target tracking

Kimberly A. Rosenberry-Friend, Larry E. Banta

Proceedings Volume 3517, Intelligent Systems in Design and Manufacturing; (1998) https://doi.org/10.1117/12.326940
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

One of the most widely used applications of digital imaging in manufacturing is product inspection. Real-time control of robot motion is second emerging area. In both applications, detection and tracking of moving targets in the image are desirable and in some cases necessary abilities. Current hardware equal to this task is still extremely expensive, limiting its application in low-end manufacturing venues. Despite dramatic increases in processing speed for digital images, tracking moving targets in high-resolution images is still difficult for personal computer based systems. Various forms of image sampling have been used over the years to overcome this problem, allowing processing of a smaller number of pixels by localized searches, multiresolution processing, and other methods. Recently wavelet analysis has become popular as a powerful means of image compression and processing. In this work. Daubechies wavelets are used as basis functions for compressing sequences of images containing targets which include motion in three-dimensions (x and y translations plus rotation) against background clutter. The wavelet coefficients are used as an alternative representation of the image, and analysis is carried out to identify and track targets in the wavelet space. Inverse transformations to Cartesian space will be used to characterize the target motion once it has been determined in the wavelet domain. Preliminary results of the research are shown.

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Kimberly A. Rosenberry-Friend and Larry E. Banta "Real-time wavelet-based target tracking", Proc. SPIE 3517, Intelligent Systems in Design and Manufacturing, (9 October 1998); https://doi.org/10.1117/12.326940

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KEYWORDS

Wavelets

Image processing

Cameras

Computing systems

Image analysis

Wavelet transforms

Image enhancement

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