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http://dx.doi.org/10.5909/JBE.2013.18.4.535

High-Performance Vision Engine for Intelligent Vehicles  

Lyuh, Chun-Gi (Electronics and Telecommunications Research Institute, Mixed Signal Processing Research Section)
Chun, Ik-Jae (Electronics and Telecommunications Research Institute, Mixed Signal Processing Research Section)
Suk, Jung-Hee (Electronics and Telecommunications Research Institute, Mixed Signal Processing Research Section)
Roh, Tae Moon (Electronics and Telecommunications Research Institute, Mixed Signal Processing Research Section)
Publication Information
Journal of Broadcast Engineering / v.18, no.4, 2013 , pp. 535-542 More about this Journal
Abstract
In this paper, we proposed a advanced hardware engine architecture for high speed and high detection rate image recognitions. We adopted the HOG-LBP feature extraction algorithm and more parallelized architecture in order to achieve higher detection rate and high throughput. As a simulation result, the designed engine which can search about 90 frames per second detects 97.7% of pedestrians when false positive per window is $10^{-4}$.
Keywords
intelligent vehicle; vision engine; vehicle recognition; pedestrian recognition;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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