[PDF][PDF] 基于归一化目标像素的人群密度估计方法
丁艺， 陈树越， 刘金星， 戴永惠， 朱双双 - 计算机应用与软件, 2016 - shcas.net
摘要由于像素统计方法在提取高密度人群特征时, 可能会导致在计算感兴趣区域(ROI)
中的人数时出现较大的误差, 因此提出归一化前景目标像素提取人群特征, 并采用支持向量机 …
中的人数时出现较大的误差, 因此提出归一化前景目标像素提取人群特征, 并采用支持向量机 …
An analysis algorithm for real-time monitoring of campus crowd density based on campus wireless network logs
Y Xia, S Wu, H Yu - Second International Conference on …, 2023 - spiedigitallibrary.org
In order to implement precision management on the campus, the decisions need data
support, and the crowd density on campus is one of the important parts. Based on campus …
support, and the crowd density on campus is one of the important parts. Based on campus …
Anomaly detection using sparse features and spatio-temporal hidden markov model for pedestrian zone video surveillance
AE Gündüz - 2014 - open.metu.edu.tr
Automated analysis of crowd behavior for anomaly detection has become an important issue
to ensure the safety and security of the public spaces. Public spaces have varying people …
to ensure the safety and security of the public spaces. Public spaces have varying people …