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Proceedings Paper

Object recognition with incomplete features based on evidence accumulation
Author(s): Li Zhang; Fan Peng
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Paper Abstract

In this paper, we address the problem of object recognition in clutter with incomplete features, focusing on challenging small target. Since the discriminative illumination, occluded or imperfect of the feature extraction algorithm, multi-class features of the object are incomplete which increase the false alarm rate of object recognition. How to use the incomplete features such as region and edge for object recognition, the vote of each fragment region contributes to the recognition result according to its reliability. We cast it as a graph search problem and propose a novel evidence accumulation algorithm to efficiently solve it.

Paper Details

Date Published: 26 October 2013
PDF: 6 pages
Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180Z (26 October 2013); doi: 10.1117/12.2031497
Show Author Affiliations
Li Zhang, Huazhong Univ. of Science and Technology (China)
Fan Peng, Huazhong Univ. of Science and Technology (China)


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

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