@inproceedings{55ffcb0536194aa498f995a224af6058,
title = "Selective eigenbackgrounds method for background subtraction in crowed scenes",
abstract = "In this paper, a selective eigenbackgrounds method is proposed for background subtraction in crowded scenes. In order to train and update the eigenbackground model with frames containing few objects (i.e. clean frames), virtual frames are constructed based on a frame selection map. Then, the eigenbackground that best depicts background is selected for each pixel based on an eigenbackground selection map. Experimental results show the performance of the proposed method is better than those of some state-of-the-art methods in crowded scenes.",
keywords = "background subtraction, crowded scenes, eigenbackground, video surveillance",
author = "Zhipeng Hu and Yaowei Wang and Yonghong Tian and Tiejun Huang",
year = "2011",
doi = "10.1109/ICIP.2011.6116370",
language = "英语",
isbn = "9781457713033",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "3277--3280",
booktitle = "ICIP 2011",
note = "2011 18th IEEE International Conference on Image Processing, ICIP 2011 ; Conference date: 11-09-2011 Through 14-09-2011",
}