W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-parametric Model for Background Subtraction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Robust Background Subtraction and Maintenance
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Efficient moving object segmentation algorithm using background registration technique
IEEE Transactions on Circuits and Systems for Video Technology
Predictive watershed: a fast watershed algorithm for video segmentation
IEEE Transactions on Circuits and Systems for Video Technology
Weighted map for reflectance and shading separation using a single image
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
| Hi-index | 0.01 |
We developed an automatic object segmentation system to separate the foreground objects from the background scene in the MPEG video sequence. The system consists of two modules: the background modeling and updating module and the foreground object extraction module. For the first module and comparing to existing methods, the background model can be constructed no matter whether there exist moving foreground objects or not. In addition, the background model is capable of handling the illumination changes and intrusive but motionless targets by using the short-term approach and long-term approach, respectively, to keep updating the background model. For the second module, the noises and shadows are eliminated and the holes are filled in order to reduce the false and the missing foreground detection components, respectively. Furthermore, one particular function in this module is the automatic digital matting, which can be applied to have visually accurate segmentation result for the foreground objects.