Abstract
Crowd type identification is a crucial task in the emergency alert. In this paper, to solve accurate identification of crowd type, the crowd type description triad C-BMO < Behavior, Mood, Organized > and a novel crowd type recognition network (CTRN): very deep two-stream network architecture are proposed, respectively. The very deep two-stream network architecture is based on the static map and motion map in the video. To early warn the emergency, the reasoning rules of the emergency alert are proposed based on joining the crowd type and the crowd characteristics. To verify the proposed method, the crowd type dataset is collected, and we experiment with the proposed plan on the crowd type dataset. The experimental results demonstrate that the proposed model is competitive compared with the state-of-the-art techniques.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
