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RI | Publications | Fast and accurate vision-based pattern detection and identification
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Fast and accurate vision-based pattern detection and identification
J. Bruce and M. Veloso
Proceedings of ICRA-03, the 2003 IEEE International Conference on Robotics and Automation (ICRA '03), May, 2003.
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| Abstract |
Fast pattern detection and identification is a fundamental problem for many applications of real-time vision systems. The desirable characteristics for a solution are that it takes little computation, localizes a pattern robustly and with high accuracy, and can identify a large number of unique pattern identifiers so that many patterns can be tracked within a field a view. We will present a system that can accurately track a broad class of patterns both accurately and quickly, when using a suitable low level vision system that can return calibrated coordinates of regions in a image. Both pattern design and the detection algorithm are considered together to find a solution meeting the above criteria. Along the way, assumptions are verified to make informed choices without relying on guesswork, and allowing similar systems to be designed on a solid experimental and statistical basis.
| Notes |
Associated lab/group: MultiRobot Lab
Associated project: Robotic Soccer
Number of pages: 6
| Text Reference |
J. Bruce and M. Veloso, "Fast and accurate vision-based pattern detection and identification," Proceedings of ICRA-03, the 2003 IEEE International Conference on Robotics and Automation (ICRA '03), May, 2003.
| BibTeX Reference |
@inproceedings{Bruce_2003_4400,
author = "James Bruce and Manuela Veloso",
title = "Fast and accurate vision-based pattern detection and identification",
booktitle = "Proceedings of ICRA-03, the 2003 IEEE International Conference on Robotics and Automation (ICRA '03)",
month = "May",
year = "2003"
}