Detail publikace

The application of negative selection algorithm in multi-angle infrared vehicle images recognition

YU, X. FU, D. YANG, T. ŘÍHA, K.

Originální název

The application of negative selection algorithm in multi-angle infrared vehicle images recognition

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Classification Algorithm; Infrared Images; Negative Selection; Vehicle Recognition

Autoři

YU, X.; FU, D.; YANG, T.; ŘÍHA, K.

Rok RIV

2015

Vydáno

9. 7. 2015

ISBN

978-1-4799-8498-5

Kniha

38th International Conference on Telecommunications and Signal Processing (TSP)

Strany od

776

Strany do

780

Strany počet

5

BibTex

@inproceedings{BUT117983,
  author="Xi {Yu} and Dongmei {Fu} and Tao {Yang} and Kamil {Říha}",
  title="The application of negative selection algorithm in multi-angle infrared vehicle images recognition",
  booktitle="38th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2015",
  pages="776--780",
  doi="10.1109/TSP.2015.7296371",
  isbn="978-1-4799-8498-5"
}