scholarly journals Scene perception guided crowd anomaly detection

2020 ◽  
Vol 414 ◽  
pp. 291-302
Author(s):  
Xuguang Zhang ◽  
Dingxin Ma ◽  
Hui Yu ◽  
Ya Huang ◽  
Peter Howell ◽  
...  
2018 ◽  
Vol 16 (1) ◽  
pp. 27-39 ◽  
Author(s):  
Yu Hao ◽  
Zhi-Jie Xu ◽  
Ying Liu ◽  
Jing Wang ◽  
Jiu-Lun Fan

Author(s):  
Junjie Ma ◽  
◽  
Yaping Dai ◽  
Kaoru Hirota

Population growth has made the probability of incidents at large-scale crowd events higher than ever. In the past decades, automated crowd scene analysis done by computer vision has attracted attention. However, severe occlusions and complex crowd behaviors make such analysis a challenge. As a key aspect of crowd scene analysis, a number of works dealing with dense crowd anomaly detection based on computer vision have been presented. This work is a survey of computer vision techniques for analyzing dense crowd scenes. It covers two aspects: crowd density estimation and abnormal event detection. Some problems and perspectives are discussed at the end.


2017 ◽  
Vol 77 (14) ◽  
pp. 17755-17777 ◽  
Author(s):  
Joelmir Ramos ◽  
Nadia Nedjah ◽  
Luiza de Macedo Mourelle ◽  
Brij B. Gupta

2017 ◽  
Vol 61 ◽  
pp. 266-281 ◽  
Author(s):  
Rima Chaker ◽  
Zaher Al Aghbari ◽  
Imran N. Junejo

2019 ◽  
Vol 14 (2) ◽  
pp. 541-556 ◽  
Author(s):  
Muhammad Umar Karim Khan ◽  
Hyun-Sang Park ◽  
Chong-Min Kyung

2020 ◽  
Vol 371 ◽  
pp. 188-198 ◽  
Author(s):  
Kuldeep Singh ◽  
Shantanu Rajora ◽  
Dinesh Kumar Vishwakarma ◽  
Gaurav Tripathi ◽  
Sandeep Kumar ◽  
...  

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