Title :
A dynamic algorithm for tank objects recognition
Author :
Yan, Xiong ; Jia-xiong, Peng ; Ding Ming-Yue ; Dong-hui, Xue
Author_Institution :
Inst. of Pattern Recognition & Artificial Intelligence, Huazhong Univ. of Sci. & Technol., Wuhan, China
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
Keywords :
computer vision; feature extraction; knowledge based systems; object recognition; search problems; complex background; dynamic algorithm; feature extraction; heuristic search; knowledge based systems; moment invariant; objects recognition; tank recognition; Artificial intelligence; Heuristic algorithms; Image recognition; Kernel; Layout; Machine vision; Object recognition; Pattern recognition; Scattering; Target recognition;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538049
