| Presentation | 2008-11-28 Real-Time Object Detection with Adaptive Background Model and Margined Sign Correlation Ayaka YAMAMOTO, Yoshio IWAI, Masahiko YACHIDA, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a fast and efficient method that detects moving objects. In order to achieve the fast performance, we use a GPU (Graphics Processing Unit). Since a GPU can execute the same calculation to each pixel at high speed, the object-detection method with the ABM (Adaptive Background Model) and the MSC (Margined Sign Correlation), a pixel-based method, can speed up by using a GPU. We show the experimental results using 720×486 color videos in order to verify that the object-detection process with ABM and MSC can be computed on the GPU over 9 times faster than the CPU. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | |
| Paper # | PRMU2008-136,MVE2008-85 |
| Date of Issue |
| Conference Information | |
| Committee | MVE |
|---|---|
| Conference Date | 2008/11/20(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 | Media Experience and Virtual Environment (MVE) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Real-Time Object Detection with Adaptive Background Model and Margined Sign Correlation |
| Sub Title (in English) | |
| Keyword(1) | |
| 1st Author's Name | Ayaka YAMAMOTO |
| 1st Author's Affiliation | Graduate School of Engineering Science, Osaka University() |
| 2nd Author's Name | Yoshio IWAI |
| 2nd Author's Affiliation | Graduate School of Engineering Science, Osaka University |
| 3rd Author's Name | Masahiko YACHIDA |
| 3rd Author's Affiliation | Faculty of Information Science and Technology, Osaka Institute of Technology |
| Date | 2008-11-28 |
| Paper # | PRMU2008-136,MVE2008-85 |
| Volume (vol) | vol.108 |
| Number (no) | 328 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |