An analytical technique to solve the system of nonlinear fractional partial differential equations
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Publication Details
Author list: Shah R., Khan H., Kumam P., Arif M.
Publisher: Society of Photo-optical Instrumentation Engineers
Publication year: 2019
Volume number: 7
Issue number: 6
ISBN: 9781510627734
ISSN: 0277-786X
eISSN: 1996-756X
Languages: English-Great Britain (EN-GB)
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Abstract
Object tracking based on image processing algorithm is used in various applications. In many object tracking methods, feature extraction is the key processing for object identification. Image pre-processing which transforms an RGB image to a binary image plays an important role. The conventional pre-processing technique applies on a whole image frame. In this paper, we propose to crop the regions of the tracked objects using their current tracking positions. Then, each cropped region is fed to the pre-processing process. Based on this approach, the interference of uninterested regions is eliminated resulting in improved pre-processed image. However, we need to perform N pre-processing processes, where N is the number of tracked object in the frame. This problem is alleviated in FPGA implementation, which is our target platform. The proposed approach is evaluated by comparing the results with conventional pre-processing method using the same tracking system. ฉ COPYRIGHT SPIE.
Keywords
Background elimination, FPGA, multiple objects tracking, parallel pre-processing
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