Paper
22 March 2019 A parallel pre-processing for multiple objects tracking system
Author Affiliations +
Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104946 (2019) https://doi.org/10.1117/12.2521663
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore
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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adirek Maruaisap, Chanon Khongprasongsiri, Watcharapan Suwansantisuk, and Pinit Kumhom "A parallel pre-processing for multiple objects tracking system", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104946 (22 March 2019); https://doi.org/10.1117/12.2521663
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KEYWORDS
Cameras

Field programmable gate arrays

Image processing

Target detection

Feature extraction

Imaging systems

Parallel processing

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