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Proceedings Paper

Contour-based object detection using generalized Hough transform
Author(s): Bitao Jiang; Lei Ma
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Paper Abstract

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.

Paper Details

Date Published: 26 October 2013
PDF: 6 pages
Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180A (26 October 2013); doi: 10.1117/12.2031239
Show Author Affiliations
Bitao Jiang, Institute of Remote Sensing Information (China)
Lei Ma, Institute of Remote Sensing Information (China)
Institute of Automation (China)


Published in SPIE Proceedings Vol. 8918:
MIPPR 2013: Automatic Target Recognition and Navigation
Tianxu Zhang; Nong Sang, Editor(s)

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