Abstract
In this paper, we propose a space-variant image representation model based on properties of magnocellular visual pathway, which perform motion analysis, in human retina. Then, we present an algorithm for the tracking of multiple objects in the proposed space-variant model. The proposed space-variant model has two effective image representations for object recognition and motion analysis, respectively. Each image representation is based on properties of two types of ganglion cell, which are the beginning of two basic visual pathways; one is parvocellular and the other is magnocellular. Through this model, we can get the efficient data reduction capability with no great loss of important information. And, the proposed multiple objects tracking method is restricted in space-variant image. Typically, an object-tracking algorithm consists of several processes such as detection, prediction, matching, and updating. In particular, the matching process plays an important role in multiple objects tracking. In traditional vision, the matching process is simple when the target objects are rigid. In space-variant vision, however, it is very complicated although the target is rigid, because there may be deformation of an object region in the space-variant coordinate system when the target moves to another position. Therefore, we propose a deformation formula in order to solve the matching problem in space-variant vision. By solving this problem, we can efficiently implement multiple objects tracking in space-variant vision.
| Original language | English |
|---|---|
| Pages (from-to) | 2031-2040 |
| Number of pages | 10 |
| Journal | Pattern Recognition |
| Volume | 35 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2002 Oct |
Bibliographical note
Funding Information:About the Author —SEONG-WHAN LEE received his BS degree in Computer Science and Statistics from Seoul National University, Seoul, Korea, in 1984, the MS and Ph.D. degrees in computer science from KAIST in 1986 and 1989, respectively. From February 1989 to February 1995, he was an assistant professor in the Department of Computer Science at Chungbuk National University, Cheongju, Korea. In March 1995, he joined the faculty of the Department of Computer Science and Engineering at Korea University, Seoul, Korea, as an associate professor, and now he is a full professor. Currently, Dr. Lee is the director of National Creative Research Initiative Center for Artificial Vision Research (CAVR) supported by the Korean Ministry of Science and Technology. He was the winner of the Annual Best Paper Award of the Korea Information Science Society in 1986. He obtained the First Outstanding Young Researcher Award at the Second International Conference on Document Analysis and Recognition in 1993, and the First Distinguished Research Professor Award from Chungbuk National University in 1994. He also obtained the Outstanding Research Award from the Korea Information Science Society in 1996. He has been the co-Editor-in-chief of the International Journal on Document Analysis and Recognition since 1998 and the associate editor of the Pattern Recognition Journal, the International Journal of Pattern Recognition and Artificial Intelligence, and the International Journal of Computer Processing of Oriental Languages since 1997. He was the Program co-chair of the Sixth International Workshop on Frontiers in Handwriting Recognition, the Second International Conference on Multimodal Interface, the 17th International Conference on Computer Processing of Oriental Languages, the Fifth International Conference on Document Analysis and Recognition, and the Seventh International Conference on Neural Information Processing. He was the workshop co-chair of the Third International Workshop on Document Analysis Systems and the First IEEE International Workshop on Biologically Motivated Computer Vision. He served on the program committees of several well-known international conferences. He is a fellow of IAPR, a senior member of the IEEE Computer Society and a life member of the Korea Information Science Society and the Oriental Languages Computer Society. His research interests include pattern recognition, computer vision and neural networks. He has more than 150 publications on these areas in international journals and conference proceedings, and has authored five books.
Keywords
- Biologically motivated vision
- Multiple objects tracking
- Space-variant vision
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence