The application of negative selection algorithm in multi-angle infrared vehicle images recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU116082" target="_blank" >RIV/00216305:26220/15:PU116082 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TSP.2015.7296371" target="_blank" >http://dx.doi.org/10.1109/TSP.2015.7296371</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2015.7296371" target="_blank" >10.1109/TSP.2015.7296371</a>
Alternative languages
Result language
angličtina
Original language name
The application of negative selection algorithm in multi-angle infrared vehicle images recognition
Original language description
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 invariantsare 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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
38th International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-1-4799-8498-5
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
776-780
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Prague
Event date
Jul 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—