人群计数[CAN](Context-Aware Crowd Counting复现过程记录) 目录 一、开发环境及其配置 二、论文代码+数据集 三、代码复现 四、总结 一、开发环境 windows 10+Anaconda 3+python 3.7+CUDA 11.1+Pytorch 1.8.0+Pycharm 1、Anaconda3的配置 Anaconda安装教程.这篇文章十分简洁明了,并且很有用,直接照着他来就行。...
State-of-the-art methods for counting people in crowded scenes rely on deep networks to estimate crowd density. They typically use the same filters over the whole image or over large image patches. Only then do they estimate local scale to compensate for perspective distortion. This is ...
police crowd counting, or volunteer surveying. High costs and low accuracy aside, there are many shortcomings of such approaches. For instance, current television rating systems suffer from an inability to generate event viewership statistics outside the home environment, difficulties in determining which...
(1) Human perception is represented by high-level features (concepts): watch the penalty (visual signal, scream (audio signal), and talk with the crowd (natural language processing). (2) Machine perception is represented by low-level features (texture, color, resolution, and encoding). Figure...
Crowd countingMulti-scale featuresContext-aware pyramid featureAttention moduleIMPLEMENTATIONEVACUATIONAchieving accurate crowd counting still faces many challenges due to continuous scale variations. To this end, we present an innovative Context-Aware Pyramid Attention Network for crowd counting which is ...
These results validate the effectiveness of CAPAN in crowd counting.Gu, LingyuSchool of Information Science and Engineering, Shandong Normal University, Jinan, ChinaPang, ChenSchool of Information Science and Engineering, Shandong Normal University, Jinan, ChinaZheng, Yanjun...
Aiming at the problem of the target scale-aware in crowd counting, this paper proposes a counting algorithm based on the reaggregation of contextual features. The semantic information extracted by the high-level network is combined with the crowd-scale detail...
We take the smart city as the case study of C3Meta and focus on a typical crowd counting task in the field of intelligent monitoring to demonstrate the effectiveness of the proposed framework. A series of key technologies, including key frame detection, adaptive partition, offloading location ...
In this paper, we propose a context-aware multi-scale aggregation network named CMSNet for dense crowd counting, which effectively uses contextual information and multi-scale information to conduct crowd density estimation. To achieve this, a context-aware multi-scale aggregation module (CMSM) is ...
Context-Aware Computing for Mobile Crowd Sensing: A Survey. Future Gener. Comput. Syst. 2019, 99, 321–332. [Google Scholar] [CrossRef] Miranda, L.; Viterbo, J.; Bernardini, F. A Survey on the Use of Machine Learning Methods in Context-Aware Middlewares for Human Activity Recognition. ...