Implementaion of Real-time Pedestrian Detection Based on Parallel Processing with a Dual Core Processor

Lee, Kwang-Yeob

doi:10.14257/ijca.2014.7.7.07

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…The pedestrian recognition algorithm used in the image data has less limitation on the data dependency to be appropriate for parallel processing. Figure 4 shows the parallel processing process of Sobel, Census Transform and Histogram in the CENTRIST based pedestrian recognition algorithms [3,4]. Sobel and Census Transform algorithms basically use 3 x 3 size to perform the convolution operation.…”

Section: Parallelization Of the Pedestrian Detection On Ispmentioning

confidence: 99%

An Implementation of SIMT Based Image Signal Processor for Pedestrian Detection

Jeon

Hwang

Lee³

2016

Advanced Science and Technology Letters

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Abstract. In this study, SIMT based ISP possible for processing various image pre-processing algorithms and recognition algorithms was proposed. The conventional ISP is hard-wired designed to process faster, but it has limits in performing various image processing algorithms. The proposed ISP is the command-based processor performing various image processing and improves the processing speed. For verification, we implemented 2-Radix FFT operation and pedestrian recognition using the proposed ISP. The study results showed approximately 2.7 times improved processing speed than the embedded platform CPU of Cortex-A9, and about 1.5 times improved than the Cortex-A15. Keywords:We would like to encourage you to list your keywords in this section.

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Section: Parallelization Of the Pedestrian Detection On Ispmentioning

confidence: 99%