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Crowd detection and counting using a static and dynamic platform: state of the art

Chaudhry, H. and Rahim, M. H. M. and Saba, T. and Rehman, A. (2019) Crowd detection and counting using a static and dynamic platform: state of the art. International Journal of Computational Vision and Robotics, 9 (3). pp. 228-259. ISSN 1752-9131

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Official URL: http://www.dx.doi.org/10.1504/IJCVR.2019.099435


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.

Item Type:Article
Uncontrolled Keywords:crowd, counting, holistic and local motion features
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ID Code:89468
Deposited By: Narimah Nawil
Deposited On:09 Feb 2021 12:26
Last Modified:09 Feb 2021 12:26

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