0223a6300e21fbd56cc1367f924ef8cb proceedings_a2019v34p35.pdf 531477f32be8d8fbcfd2a088b2dbec66991814bf proceedings_a2019v34p35.pdf e300f3f7f504e95ef032b5bdea968b68257f87f6db4ba5936fcbc154ca3be072 proceedings_a2019v34p35.pdf Title: Low-Power Pedestrian Detection System on FPGA Subject: Pedestrian detection is one of the key problems in the emerging self-driving car industry. In addition, the Histogram of Gradients (HOG) algorithm proved to provide good accuracy for pedestrian detection. Many research works focused on accelerating HOG algorithm on FPGA (Field-Programmable Gate Array) due to its low-power and high-throughput characteristics. In this paper, we present an energy-efficient HOG-based implementation for pedestrian detection system on a low-cost FPGA system-on-chip platform. The hardware accelerator implements the HOG computation and the Support Vector Machine classifier, the rest of the algorithm is mapped to software in the embedded processor. The hardware runs at 50 Mhz (lower frequency than previous works), thus achieving the best pixels processed per clock and the lower power design. Keywords: FPGA; HOG extractor; pedestrian detection; accelerator; low power Author: Firstname Lastname, Firstname Lastname and Firstname Lastname Creator: LaTeX with hyperref package Producer: pdfTeX-1.40.18 CreationDate: Wed Nov 20 08:32:13 2019 CET ModDate: Wed Nov 20 08:32:13 2019 CET Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 11 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 566440 bytes Optimized: no PDF version: 1.5 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- VITPRA+URWPalladioL-Ital Type 1 Custom yes yes no 73 0 HNDYFT+URWPalladioL-Bold Type 1 Custom yes yes no 74 0 TYBRCL+URWPalladioL-Roma Type 1 Custom yes yes no 75 0 WBTPCM+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 83 0 MCBCCI+SourceSansRoman-Regular Type 1C Custom yes yes no 103 0 MCBCCM+SourceSansRoman.613wght Type 1C Custom yes yes no 104 0 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