Abstract
Development of high quality object detection system is a challenging task, not fully solved nowadays. The relevance of this study is stipulated by the necessity of designing techniques, algorithms, and programs improving the efficiency of automatic objects detection on images with complex backgrounds.
| Original language | English |
|---|---|
| Title of host publication | 2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Print) | 9781479971022 |
| DOIs | |
| Publication status | Published - 1 Jul 2015 |
| Event | 2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Omsk, Russian Federation Duration: 21 May 2015 → 23 May 2015 |
Other
| Other | 2015 International Siberian Conference on Control and Communications, SIBCON 2015 |
|---|---|
| Country | Russian Federation |
| City | Omsk |
| Period | 21.5.15 → 23.5.15 |
Fingerprint
Keywords
- adaptive algorithms
- artificial intelligence
- convolution neural networks
- license plate detection
ASJC Scopus subject areas
- Computer Networks and Communications
- Control and Systems Engineering
Cite this
Development of sequential optimizational algorithms for object detection in images. / Druki, Alexey Alexeevich; Spitsyn, V. G.
2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. 7147046.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Development of sequential optimizational algorithms for object detection in images
AU - Druki, Alexey Alexeevich
AU - Spitsyn, V. G.
PY - 2015/7/1
Y1 - 2015/7/1
N2 - Development of high quality object detection system is a challenging task, not fully solved nowadays. The relevance of this study is stipulated by the necessity of designing techniques, algorithms, and programs improving the efficiency of automatic objects detection on images with complex backgrounds.
AB - Development of high quality object detection system is a challenging task, not fully solved nowadays. The relevance of this study is stipulated by the necessity of designing techniques, algorithms, and programs improving the efficiency of automatic objects detection on images with complex backgrounds.
KW - adaptive algorithms
KW - artificial intelligence
KW - convolution neural networks
KW - license plate detection
UR - http://www.scopus.com/inward/record.url?scp=84941059557&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84941059557&partnerID=8YFLogxK
U2 - 10.1109/SIBCON.2015.7147046
DO - 10.1109/SIBCON.2015.7147046
M3 - Conference contribution
AN - SCOPUS:84941059557
SN - 9781479971022
BT - 2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -