@inproceedings{1f8c2877a6f445719fae49ebcf98aa8f,
title = "Crowd flow segmentation using a novel region growing scheme",
abstract = "Segmenting and analyzing crowd flow from surveillance videos is effective for monitoring abnormal motion or reducing incidents in a crowd scene. In this paper, we use translation flow to approximate local crowd motion and propose a novel region growing scheme to segment crowd flow based on optical flow field. We improve the model of translation domain segmentation and adapt it to a general vector field. To implement flow segmentation, the domain's contour determined by a set of boundary points is adaptively updated by shape optimization in the improved model. The experiments based on a set of crowd videos show that the proposed approach has the capability to segment crowd flow for further analysis. {\textcopyright} 2009 Springer-Verlag Berlin Heidelberg.",
keywords = "Adaptive Contour, Crowd Flow Segmentation, Region Growing, Shape Optimization, Translation flow",
author = "Si Wu and Zhiwen Yu and Hau-San Wong",
year = "2009",
doi = "10.1007/978-3-642-10467-1_80",
language = "English",
isbn = "3642104665",
volume = "5879 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "898--907",
booktitle = "Advances in Multimedia Information Processing - PCM 2009",
address = "Germany",
note = "10th Pacific Rim Conference on Multimedia, PCM 2009 ; Conference date: 15-12-2009 Through 18-12-2009",
}