Name
Title | ||
|---|---|---|
A Pedestrian Detector Using Histograms of Oriented Gradients and a Support Vector Machine Classifier |
Abstract | ||
|---|---|---|
This paper details filtering subsystem for a tetra-vision based pedestrian detection system. The complete system is based on the use of both visible and far infrared cameras; in an initial phase it produces a list of areas of attention in the images which can contain pedestrians. This list is furtherly refined using symmetry-based assumptions. Then, this results is fed to a number of independent validators that evaluate the presence of human shapes inside the areas of attention. Histogram of oriented gradients and Support Vector Machines are used as a filter and demonstrated to be able to successfully classify up to 91% of pedestrians in the areas of attention. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ITSC.2007.4357692 | 2007 IEEE Intelligent Transportation Systems Conference |
Keywords | Field | DocType |
histogram pedestrian detector,support vector machine classifierfiltering subsystem,tetra-vision based pedestrian detection system,infrared cameras,symmetry-based assumptions | Computer vision,Histogram,Pedestrian,Simulation,Support vector machine,Filter (signal processing),Histogram of oriented gradients,Artificial intelligence,Far infrared,Engineering,Detector,Pedestrian detection | Conference |
ISSN | ISBN | Citations |
2153-0009 | 978-1-4244-1395-9 | 44 |
PageRank | References | Authors |
2.38 | 17 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Bertozzi | 1 | 160 | 9.62 |
| A. Broggi | 2 | 177 | 19.91 |
| M. Del Rose | 3 | 120 | 7.47 |
| M. Felisa | 4 | 93 | 5.81 |
| Alain Rakotomamonjy | 5 | 1160 | 86.94 |
| Frederic Suard | 6 | 72 | 4.26 |