Development of sequential optimizational algorithms for object detection in images

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	https://doi.org/10.1109/SIBCON.2015.7147046
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

Keywords

adaptive algorithms
artificial intelligence
convolution neural networks
license plate detection

ASJC Scopus subject areas

Computer Networks and Communications
Control and Systems Engineering

Access to Document

10.1109/SIBCON.2015.7147046

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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

Druki, AA & Spitsyn, VG 2015, Development of sequential optimizational algorithms for object detection in images. in 2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings., 7147046, Institute of Electrical and Electronics Engineers Inc., 2015 International Siberian Conference on Control and Communications, SIBCON 2015, Omsk, Russian Federation, 21.5.15. https://doi.org/10.1109/SIBCON.2015.7147046

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