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Crowd detection and counting using a static and dynamic platform: state of the art
Crowd detection and counting using a static and dynamic platform: state of the art
- Source :
- International Journal of Computational Vision and Robotics. 9:228
- Publication Year :
- 2019
- Publisher :
- Inderscience Publishers, 2019.
-
Abstract
- Automated object detection and crowd density estimation are popular and important area in visual surveillance research. The last decades witnessed many significant research in this field however, it is still a challenging problem for automatic visual surveillance. The ever increase in research of the field of crowd dynamics and crowd motion necessitates a detailed and updated survey of different techniques and trends in this field. This paper presents a survey on crowd detection and crowd density estimation from moving platform and surveys the different methods employed for this purpose. This review category and delineates several detections and counting estimation methods that have been applied for the examination of scenes from static and moving platforms.
- Subjects :
- Crowd dynamics
Computer science
business.industry
Field (computer science)
Object detection
Motion (physics)
Computer Science Applications
Visual surveillance
Computer vision
State (computer science)
Artificial intelligence
Computer Vision and Pattern Recognition
Crowd density
business
Estimation methods
Subjects
Details
- ISSN :
- 1752914X and 17529131
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- International Journal of Computational Vision and Robotics
- Accession number :
- edsair.doi.dedup.....dcc0f9b04c28379d9cfef0191c2736f0
- Full Text :
- https://doi.org/10.1504/ijcvr.2019.10020642