Research Communication | Open Access
Volume 2019 | Communication ID 82
Volume 2019 | Communication ID 82
| Street crossing pedestrian detection system |
Mohammed Razzok, Abdelmajid Badri, Yassine Ruichek, Aïcha Sahel
Received |
Accepted |
Published |
Jan 22, 2019 |
Feb 26, 2019 |
Mar 01, 2019 |
Abstract: Pedestrian detection is a key problem in computer vision, with several applications that have the potential to posiively impact quality of life. In recent years, the number of approaches to detecting pedestrians in monocular images has grown steadily. We present our pedestrian protection system against moving vehicles using a single video camera installed on the vehicle, this system combines pedestrian detection, trajectory estimation, risk evaluation and driver alert. First, we focus on the pedestrian detection task. Different combinations of image descriptors and a number of classification ...