Digital video processing
A real-time foveated sensor with overlapping receptive fields
Real-Time Imaging - Special issue on natural and artificial real-time imaging and vision
Hydra: Multiple People Detection and Tracking Using Silhouettes
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
Tracking in a Space Variant Active Vision System
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Tracking multiple nonrigid objects in video sequences
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.00 |
In this paper, we present an algorithm for the tracking of multiple objects in space-variant vision. 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.