Paper
24 December 2013 A new occluded target location method based on straight line
Feng Gao, Shaohua Qiu, Gongjian Wen
Author Affiliations +
Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 90670R (2013) https://doi.org/10.1117/12.2050237
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom
Abstract
A new partially occluded target location method based on straight line is proposed. It is divided into four steps: firstly, we label the straight lines of concerned target in the history image artificially and store the line points together with the grads orientation. The labeled lines, the length of which is restricted, should distribute symmetrically. Then, transform the stored lines using the transformation model whose parameters are derived from geometry calibration result of the real-time image. Afterwards, construct pyramid structure of real-time image and search the optimal match position. The geometry coherence rule is used to gain holistic optimal match result. Lastly, compare the matching measure with the threshold to decide whether need to perform the same match process using the higher solution image, and output the match result. The experiment results, tested by real-time remote sensing images especially when part of them are occluded, are shown that the proposed algorithm for target location is accurate and effective.
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Feng Gao, Shaohua Qiu, and Gongjian Wen "A new occluded target location method based on straight line", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90670R (24 December 2013); https://doi.org/10.1117/12.2050237
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KEYWORDS
Image processing

Detection and tracking algorithms

Satellites

Calibration

Evolutionary algorithms

Affine motion model

Target detection

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