DocumentCode :
3670732
Title :
The application of negative selection algorithm in multi-angle infrared vehicle images recognition
Author :
Xi Yu;Dongmei Fu;Tao Yang;Kamil Riha
Author_Institution :
School of Information and Engeering, University of Science and Technology Beijing, Xueyuan Road, Beijing, China
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
776
Lastpage :
780
Abstract :
At present, the objects of the vehicle recognition based on image processing are mostly visible images with rich details and limited camera angles. Few studies have been done on the recognition of multi-angle infrared vehicle images with less detail. However, it has important implications for transportation and especially public security. This paper extracts object contour of the vehicle from infrared vehicle images. After image correction and normalization, the geometric features and moment invariants are extracted. Based on the tolerance process of biological immune cells, this paper proposes a new Multi-classification Artificial Immunity Negative Selection (MAINS) algorithm. This algorithm can recognize vehicle types by the objects´ geometric features and moment invariants. It has a stable performance and global search ability, also a high correct recognition rate in infrared vehicle image recognition.
Keywords :
"Detectors","Vehicles","Feature extraction","Classification algorithms","Pattern recognition","Image recognition","Training"
Publisher :
ieee
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2015 38th International Conference on
Type :
conf
DOI :
10.1109/TSP.2015.7296371
Filename :
7296371
Link To Document :
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