A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Performance of optical flow techniques
International Journal of Computer Vision
Digital Image Processing
Preprocessing and Recognition of Characters in Container Codes
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Non-Iterative Approach to Multiple 2D Motion Estimation
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
A Voting-Based Computational Framework for Visual Motion Analysis and Interpretation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fault-tolerant search of container codes
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Fault-tolerant search of container codes
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
Processing and recognition of characters in container codes
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
Hi-index | 0.00 |
This paper presents a method for accurately segmenting moving container trucks in image sequences. This task allows to increase the performance of a recognition system that must identify the container code in order to check the entrance of containers through a port gate. To achieve good tolerance to non uniform backgrounds and the presence of multiple moving containers, an optical flow-based strategy is proposed. The algorithm introduces a voting strategy to detect the largest planar surface that shows a uniform motion of advance. Then, the top and rear limits of this surface are detected by a fast and effective method that searches for the limit that maximizes some object / non-object ratios. The method has been tested offline with a set of pre-recorded sequences, achieving satisfactory results.