| Presentation | 2012-03-29 Fast pedestrian detection using LBP-based patterns of oriented edges Ahmed Boudissa, Kooi Tan Joo, Hyoungseop Kim, Seiji Ishikawa, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper introduces a simple yet efficient algorithm for pedestrian detection on low resolution images. The main objective is to create a successful means of achieving a real-time pedestrian detection application. While the framework of the system consists of edge orientations combined with the LBP feature extractor, a novel way of selecting the threshold is introduced. With the objective being an efficient car vision algorithm, it is assumed that the negative samples in this context are mainly uniformly textured objects such as trees, roads, and buildings. This threshold improves significantly the detection rate as well as the processing time. Furthermore, it makes the system robust to uniformly cluttered backgrounds, noise and light variations. The test data is the INRIA pedestrian dataset and for the classification, a support vector machine with an RBF kernel is used. The kernel parameters are chosen to maximize the AUC of the receiver operating curve (ROC). The system performs at a state-of-the-art detection rates while being intuitive as well as very fast which leaves sufficient processing time for further operations such as tracking and danger estimation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | |
| Paper # | PRMU2011-247,HIP2011-75 |
| Date of Issue |
| Conference Information | |
| Committee | PRMU |
|---|---|
| Conference Date | 2012/3/22(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 | Pattern Recognition and Media Understanding (PRMU) |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Fast pedestrian detection using LBP-based patterns of oriented edges |
| Sub Title (in English) | |
| Keyword(1) | |
| 1st Author's Name | Ahmed Boudissa |
| 1st Author's Affiliation | Department of Mechanical and Control Engineering Kyushu Institute of Technology() |
| 2nd Author's Name | Kooi Tan Joo |
| 2nd Author's Affiliation | Department of Mechanical and Control Engineering Kyushu Institute of Technology |
| 3rd Author's Name | Hyoungseop Kim |
| 3rd Author's Affiliation | Department of Mechanical and Control Engineering Kyushu Institute of Technology |
| 4th Author's Name | Seiji Ishikawa |
| 4th Author's Affiliation | Department of Mechanical and Control Engineering Kyushu Institute of Technology |
| Date | 2012-03-29 |
| Paper # | PRMU2011-247,HIP2011-75 |
| Volume (vol) | vol.111 |
| Number (no) | 499 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |