Crowd detection and tracking in surveillance video sequences
The importance for video-based monitoring systems is on the rise leading to the growth of interest in the field of computer vision. With the increase of human population, crowd needs to be monitored, be it in a public place or in a building. Human monitoring can be quite tiresome and expensive,...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/80382/ http://irep.iium.edu.my/80382/1/80382%20Crowd%20Detection%20and%20Tracking%20in%20Surveillance%20Video.pdf http://irep.iium.edu.my/80382/2/80382%20Crowd%20Detection%20and%20Tracking%20in%20Surveillance%20Video%20SCOPUS.pdf |
| Summary: | The importance for video-based monitoring
systems is on the rise leading to the growth of interest in the field
of computer vision. With the increase of human population,
crowd needs to be monitored, be it in a public place or in a
building. Human monitoring can be quite tiresome and
expensive, making way for the upcoming of automated crowd
monitoring systems. Crowd analysis comprises of detection,
tracking, behavioral analysis, etc. In this paper a framework for
the detection of crowd, tracking and counting is proposed. The
goal is to create a robust system with utmost accuracy in its
results. Contrasted with sensor-based arrangements and humanbased, the video-based ones take into account more adaptable
functionalities, enhanced execution with lower costs. In this work,
the dataset PETS2009 was used. The results showed that the
proposed system has the capability to count all the people passing
through the field of view of the surveillance camera. The system
was tested for different types of crowd and the average efficiency
of various scenarios is 83.14%. |
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