Improved Eigen-value corner detection technique

Huseyin Levent Ipek; Yasemin Yardimci

doi:10.1117/12.541476

9 August 2004 Improved Eigen-value corner detection technique

Proceedings Volume 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII; (2004) https://doi.org/10.1117/12.541476
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

Eigenvalue based corner detection is known to be effective in detecting corners of objects in noise. In this paper, a corner detection technique based on including the orientation and the angle of the corner in addition to its eigenvalue is introduced. It is shown that both orientation and corner information improve the detectability of corners. Moreover, corners that have been selected via the new technique are more likely to be detected in subsequent frames and therefore improve the performance of an object tracker. This modification only adds a minor computational load to our tracking schemé. Real and synthetic images are used to evaluate the detection performance as well as their effect on tracking.

Citation Download Citation

Huseyin Levent Ipek and Yasemin Yardimci "Improved Eigen-value corner detection technique", Proc. SPIE 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII, (9 August 2004); https://doi.org/10.1117/12.541476

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