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Crowd Density Estimation Using Texture Analysis and Learning
2006 IEEE International Conference on Robotics and Biomimetics, 2006This paper presents an automatic method to detect abnormal crowd density by using texture analysis and learning, which is very important for the intelligent surveillance system in public places. By using the perspective projection model, a series of multi-resolution image cells are generated to make better density estimation in the crowded scene.
Xinyu Wu 0001 +3 more
openaire +2 more sources
Scale-aware CNN for crowd density estimation and crowd behavior analysis
Computers and Electrical Engineering, 2022Vipul Sharma +2 more
openaire +2 more sources
Survey on algorithms of people counting in dense crowd and crowd density estimation
Multimedia Tools and Applications, 2022Ge Yang, Dian Zhu
openaire +1 more source
A survey of crowd counting and density estimation based on convolutional neural network
Neurocomputing, 2022Zizhu Fan, Yudong Zhang, Guangming Lu
exaly
Wisual: Indoor Crowd Density Estimation and Distribution Visualization Using Wi-Fi
IEEE Internet of Things Journal, 2022Wei Xi, Ma Xiao-yu
exaly
A machine vision-based method for crowd density estimation and evacuation simulation
Safety Science, 2023Jingwei Ji
exaly
LCDnet: a lightweight crowd density estimation model for real-time video surveillance
Journal of Real-Time Image Processing, 2023Ridha Hamila, Muhammad Asif Khan
exaly
Scale-aware CNN for crowd density estimation and crowd behavior analysis
Computers and Electrical Engineering, 2023exaly
Crowd density estimation via a multichannel dense grouping network
Neurocomputing, 2021Yan-Bo Liu, Hong-Mei Sun, Rui-Sheng Jia
exaly