A Crowd Behavior Identification Method Combining the Streakline With the High-Accurate Variational Optical Flow Model

Abstract

A crowd behavior identification method is proposed by combining the streakline based on fluid mechanics with a high-accurate variational optical flow model in this paper. Firstly, calculated by the high-accurate variational optical flow model, the streaklines are used to acquire the crowd motion trajectory information. The angular histogram and the regions of interest in the scenes are obtained by calculating and clustering the dasymetric dot maps of the starting and ending points of the trajectory, and then, combining the dasymetric dot map and angular histogram information to analyze whether there are specific crowd behaviors in the regions of interest, and thus to identify different types of crowd behavior in such scene. Finally, experimental comparison and analysis are made to verify the effectiveness and accuracy of the method proposed in this paper.

Keywords

• Streakline
• high-accurate variational optical flow model
• clustering analysis
• angular histogram
• crowd behavior identification