CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Computer Vision
Decision fusion for target detection using multi-spectral image sequences from moving cameras
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Interest points of general imbalance
IEEE Transactions on Image Processing
Visual perception-based motion planning using road map
International Journal of Computational Vision and Robotics
| Hi-index | 0.00 |
This paper describes a general framework for the detection and tracking of traffic and road signs from image sequences using only color information. The approach consists of two independent parts. In the first we use a set of Gaussian distributions that model each color for detecting road and traffic signs. In the second part we track the targets detected in the first step over time. Our approach is tested using image sequences with high clutter that contain targets with the presence of rotation and partial occlusion. Experimental results show that the proposed system detects on average 97% of the targets in the scene in near real-time with an average of 2 false detections per sequence.