OBJECT DETECTION IN COMPUTER VISION SYSTEMS: A VISUAL SALIENCY BASED APPROACH
Abstract
A combined approach of object detection in image and eye fixation probability map calculation is proposed. This approach can be used in applied tasks of autonomous object detection. Experimental results show viability and efficiency of this approach as compared with state-of-art algorithms, and predict its usability on the broader class of tasks - applied variations of eye fixation problem.
About the Authors
V. A. Kachurka
Брестский государственный технический университет
Belarus
Belarus
K. .. Madani
Университет Пари-Эст Кретей, технологический институт Сенарт-Фонтенбло
Belarus
Belarus
C. .. Sabourin
Университет Пари-Эст Кретей, технологический институт Сенарт-Фонтенбло
Belarus
Belarus
V. A. Golovko
Брестский государственный технический университет
Belarus
Belarus
P. A. Kachurka
Брестский государственный технический университет
Belarus
Belarus
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Review
For citations:
Kachurka V.A., Madani K..., Sabourin C..., Golovko V.A., Kachurka P.A. OBJECT DETECTION IN COMPUTER VISION SYSTEMS: A VISUAL SALIENCY BASED APPROACH. Doklady BGUIR. 2015;(5):47-53. (In Russ.)
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