X vision: Combining image warping and geometric constraints for fast visual tracking

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Abstract

In this article, we describe X Vision, a modular, portable framework for visual tracking. X Vision is designed to be a programming environment for real-time vision which provides high performance on standard workstations outfitted with a simple digitizer. X Vision consists of a small set of image-level tracking primitives and a framework for combining tracking primitives to form complex tracking systems. Efficiency and robustness are achieved by propagating geometric and temporal constraints to the feature detection level, where image warping and specialized image processing are combined to perform feature detection quickly and robustly. We illustrate how useful, robust tracking systems can be constructed by simple combinations of a few basic primitives with the appropriate task-specific constraints.

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APA

Hager, G. D., & Toyama, K. (1996). X vision: Combining image warping and geometric constraints for fast visual tracking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1065, pp. 507–517). Springer Verlag. https://doi.org/10.1007/3-540-61123-1_165

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