Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning and Recognizing Human Dynamics in Video Sequences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Putting Objects in Perspective
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Walking pedestrian recognition
IEEE Transactions on Intelligent Transportation Systems
WSEAS Transactions on Computers
The use of radon transform in handwritten Arabic (Indian) numerals recognition
WSEAS Transactions on Computers
WSEAS Transactions on Computers
Hi-index | 0.00 |
Pedestrian detection is one of the most important research contents of road safety. The crucial idea behind such pedestrian safety systems is to protect the driver and pedestrian from any accident. In this paper, a pedestrian feature extraction based on applied log-Gabor filters is presented. The resulting filtered images show desirable segmentation performance which allows support vector machines to be able to efficiently classify and recognize the pedestrian. The proposed system is capable of detecting multiple pedestrians from complex background and providing size and position information of pedestrians within the image. Pedestrians with different sizes, shapes, postures, and clothes can be detected effectively. Results and discussions are presented.