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A parallel pre-processing for multiple objects tracking system
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Paper 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.

Paper Details

Date Published: 22 March 2019
PDF: 6 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104946 (22 March 2019); doi: 10.1117/12.2521663
Show Author Affiliations
Adirek Maruaisap, King Mongkut’s Univ. of Technology Thonburi (Thailand)
Chanon Khongprasongsiri, King Mongkut’s Univ. of Technology Thonburi (Thailand)
Watcharapan Suwansantisuk, King Mongkut's Univ. of Technology Thonburi (Thailand)
Pinit Kumhom, King Mongkut's Univ. of Technology Thonburi (Thailand)


Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

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