Teoh, S.K. and Yap, V.V. and Soh, C.S. and Sebastian, P. (2012) Implementation and optimization of human tracking system using ARM embedded platform. Sensors and Transducers, 17 (SPL 12). pp. 226-233. ISSN 17265479
Full text not available from this repository.Abstract
Computer vision is a field that includes methods for acquiring, processing, analyzing and understanding images. In the embedded world, computer vision applications have to deal with limited processing power and limited resources to achieve optimized algorithms and high performance. This paper presents work on implementing a human tracking system on both Intel based PC platform and embedded systems to optimize the algorithms for high performance. The algorithms are benchmarked on the Intel platform processor and BeagleBoard xM based on low-power Texas Instruments (TI) DM3730 ARM processor. Functions and library in OpenCV which developed by Intel Corporation was utilized for building the human tracking algorithms. © 2012 IFSA.
Item Type: | Article |
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Additional Information: | cited By 1 |
Uncontrolled Keywords: | Beagleboard; Computer vision applications; Histogram; Human Tracking; Human tracking systems; Implementation and optimization; OpenCV; Optimized algorithms, Algorithms; Embedded systems; Optimization; Tracking (position), ARM processors |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:50 |
Last Modified: | 09 Nov 2023 15:50 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/2437 |