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Title:PERFORMANCE MEASUREMENT OF REAL TIME OBJECT DETECTION AND RECOGNITION
DOI No:10.1142/9781860948534_0054
Source:INNOVATIVE APPLICATIONS OF INFORMATION TECHNOLOGY FOR THE DEVELOPING WORLD (pp 349-352)
Author(s):MIR MD. JAHANGIR KABIR
Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh

SAMIR HALDER
Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh

MD. ROBIUR RAHMAN
Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh

MD. W. H. SADID
Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh

M. M. MANJURUL ISLAM
Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh

MD. NAZRUL ISLAM MONDAL
Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh

Abstract:One of the most difficult problems in image processing is detecting objects in an image. The method presented in this paper is designed to detect artificial object in natural environments. It is based on the fact that artificial objects may have any directional viewings. It uses neural network architecture for the image to detect the image of different view. This method consists of taking every possible image for every object and from many directions. This method allows detecting unknown objects in various natural environments. It works with different image resolutions and it has a low processing time, making it suitable for real-time operations.
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