Name
Title | ||
|---|---|---|
Extended CoHOG and particle filter by improved motion model for pedestrian active safety |
Abstract | ||
|---|---|---|
The percentage of pedestrian deaths in traffic accidents is on the rise. In recent years, there have been calls for measures to be introduced to protect such vulnerable road users as pedestrians and cyclists. In this study, a method to detect pedestrians using an in-vehicle camera is presented. We improved the technology in detecting pedestrians with highly accurate images using a monocular camera. We were able to predict pedestrians' activities by monitoring them, and we developed an algorithm to recognize pedestrians and their movements more accurately. The effectiveness of the algorithm was tested using images taken on real roads. For the feature descriptor, we found that an extended co-occurrence histogram of oriented gradients, accumulating the integration of gradient intensities. In tracking step, we applied effective motion model using optical flow for Particle Filter tracking. These techniques are valified by using images captured on the real road. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IECON.2012.6388518 | Montreal, QC |
Keywords | Field | DocType |
cameras,gradient methods,image motion analysis,image sequences,object recognition,object tracking,particle filtering (numerical methods),pedestrians,road safety,road traffic,statistical analysis,traffic engineering computing,cooccurrence of histograms of oriented gradients,cyclists,extended cohog,feature descriptor,gradient intensity,in-vehicle camera,monocular camera,motion model,optical flow,particle filter tracking,pedestrian active safety,pedestrian activity prediction,pedestrian death,pedestrian detection,pedestrian recognition,traffic accident | Computer vision,Pedestrian,Particle filter,Monocular camera,Histogram of oriented gradients,Video tracking,Artificial intelligence,Engineering,Active safety,Optical flow,Cognitive neuroscience of visual object recognition | Conference |
ISSN | ISBN | Citations |
1553-572X E-ISBN : 978-1-4673-2420-5 | 978-1-4673-2420-5 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kataoka, H. | 1 | 0 | 0.34 |
| Tamura, K. | 2 | 0 | 0.34 |
| Yoshimitsu Aoki | 3 | 80 | 23.65 |
| Matsui, Y. | 4 | 0 | 0.34 |