Presentation | 2010-06-10 GPU Implementation of CoHOG-based Pedestrian Detection Hiroki SUGANO, Ryusuke MIYAMOTO, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Pedestrian detection from visual images, which is used by driver assistance or video surveillance, is a recent challenging problem. Co-occurrence histograms of oriented gradients (CoHOG) is a powerful feature descriptor for pedestrian detection and achieves the highest detection accuracy. However, its calculation cost is too large to calculate the CoHOG feature descriptor in real-time on state-of-the-art processors. In this paper, we focus on NVIDIA GPUs and propose optimized implementation of CoHOG-based pedestrian detection on them. Our proposed implementation does not depend on the number of processors in the GPU and has large scalability. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | CoHOG-based pedestrian detection / NVIDIA GPU / Parallel implementation / Real-time processing |
Paper # | SIS2010-11 |
Date of Issue |
Conference Information | |
Committee | SIS |
---|---|
Conference Date | 2010/6/3(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Smart Info-Media Systems (SIS) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | GPU Implementation of CoHOG-based Pedestrian Detection |
Sub Title (in English) | |
Keyword(1) | CoHOG-based pedestrian detection |
Keyword(2) | NVIDIA GPU |
Keyword(3) | Parallel implementation |
Keyword(4) | Real-time processing |
1st Author's Name | Hiroki SUGANO |
1st Author's Affiliation | Dept. of Information Systems, Graduate School of Information Science, Nara Institute of Science and Technology() |
2nd Author's Name | Ryusuke MIYAMOTO |
2nd Author's Affiliation | Dept. of Information Systems, Graduate School of Information Science, Nara Institute of Science and Technology |
Date | 2010-06-10 |
Paper # | SIS2010-11 |
Volume (vol) | vol.110 |
Number (no) | 74 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |