26 October 2013 Contour-based object detection using generalized Hough transform
Author Affiliations +
Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 89180A (2013) https://doi.org/10.1117/12.2031239
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
We present a novel contour-based object detector using generalized hough transform where each local part casts a vote for the possible locations of the object center. The angles of line segments as local feature are extracted to describe the contour of the object, then an improved voting tactics is applied to detect the location and attitude of the object. Experimental results demonstrate that the algorithm has an encouraging detection performance.
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Bitao Jiang, Bitao Jiang, Lei Ma, Lei Ma, "Contour-based object detection using generalized Hough transform", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180A (26 October 2013); doi: 10.1117/12.2031239; https://doi.org/10.1117/12.2031239


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