A dynamic algorithm for tank objects recognition
Xiong Yan
Peng Jia-Xiong
Ding Ming-Yue
Xue Dong-Hui
Inst. of Pattern Recognition & Artificial Intelligence, Huazhong Univ. of Sci. & Technol., Wuhan;
Abstract
In the case of complex background, the target cannot be extracted
perfectly. Existing methods for object recognition are not effective any
more. A dynamic algorithm for tank recognition in a complex background
by moment invariant is proposed in this paper. It extracts and
identifies the object simultaneously. Experiment results have shown that
this algorithm can identify tank objects with low contrast in a
complicated scene successfully
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