A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
Stereo- and neural network-based pedestrian detection
IEEE Transactions on Intelligent Transportation Systems
Pedestrian Detection and Tracking Based on Far Infrared Visual Information
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Building Pedestrian Contour Hierarchies for Improving Detection in Traffic Scenes
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
| Hi-index | 0.00 |
Recently, the focus of safety systems for intelligent vehicles has been on researching and developing Advanced Driver Assistance Systems (ADAS). Most efforts have been concentrated at the driver, not taking into account the protection of the most vulnerable road users. This paper describes a pedestrian detection algorithm based on stereo vision. The use of visual information is a promising approach to cope with the different appearances of pedestrians and changes of illumination in cluttered environments. Active contour models are used to detect and track people from the images taken by an on-board vision system, performing contour extraction in sequential frames.