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 |
Keywords
- adaptive algorithms
- artificial intelligence
- convolution neural networks
- license plate detection
ASJC Scopus subject areas
- Computer Networks and Communications
- Control and Systems Engineering
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Druki, A. A., & Spitsyn, V. G. (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.. https://doi.org/10.1109/SIBCON.2015.7147046