High-density crowd behaviors segmentation based on dynamical systems

doi:10.1007/s00530-016-0520-y

2016-06-21

PRE

张

张东平 (Dongping Zhang) *

Jiao Xu

Min Sun

Zhiyu Xiang

DOI：10.1007/s00530-016-0520-y

原文链接

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摘要

En 中文

High-density crowd segmentation is one of the most important components in a wide range of applications in group analysis, but the complexity and variability of the high-density crowd environment make high-density crowd behaviors segmentation facing great challenges. In this paper, we introduce a holistic approach to perform segmentation using the stability analysis based on dynamical systems. This method assumes that a grid of particles is placed over the image and moved with the underlying flow field, then computes the streaklines through those moving particles. After through a novel similarity calculation method to compute the similarity of streaklines, we capture different crowd behaviors to realize crowd segmentation. Experimental results prove the effectiveness of our algorithm.

Keyword:

Streakline

Dynamical system

Crowd segmentation

Particles

Pathline

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期刊

Multimedia Systems

IF:

3.1

论文数:

2.8K

被引数:

2.7K

机构

China Jiliang University

学者数:

9.8K

论文数: 6.3K

被引数: 7.2K

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