A Region-Based Method for Model-Free Object Tracking

Authors:
Yu Huang;Thomas S. Huang;Heinrich Niemann
Affiliations:
-;-;-
Venue:
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Year:
2002

Citing 0
Cited 4

Simultaneous Facial Action Tracking and Expression Recognition in the Presence of Head Motion

International Journal of Computer Vision
Bilateral Symmetry Detection for Real-time Robotics Applications

International Journal of Robotics Research
Multi-scale feature density approximation for object representation and tracking

SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Hand tracking in a natural conversational environment by the interacting multiple model and probabilistic data association (IMM-PDA) algorithm

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a region-based methodfor model-free object tracking. In our method the object information of temporal motion and spatial luminance are fully utilized. We first compute dominant motion of the tracked object. Using this result we warp the object template to generate a prediction template. Static segmentation is incorporated to modify this prediction, where the warping error of each watershed segment and its rate of overlapping with warped template are utilized to help classification of some possible watershed segments near the object bordel: Applications of facial expression tracking and two-handed gesture tracking demonstrate its performance.