Results 261 to 270 of about 4,521,340 (293)
Some of the next articles are maybe not open access.
A scale adaptive network for crowd counting
Neurocomputing, 2019Abstract Scale variations occur frequently and present a great challenge for crowd counting in practical applications. In this paper, we propose a scale adaptive network to address the scale variation problem for crowd counting. We design a scale expansion unit which uses normal and dilated convolution to expand the receptive field size range of its ...
Youmei Zhang +3 more
openaire +2 more sources
Aggregating information from the crowd and the network
Proceedings of the 22nd International Conference on World Wide Web, 2013In social systems, information often exists in a dispersed manner, as individual opinions, local insights and preferences. In order to make a global decision however, we need to be able to aggregate such local pieces of information into a global description of the system.
openaire +1 more source
Scale Pyramid Network for Crowd Counting
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019Crowd counting is a concerned yet challenging task in computer vision. The difficulty is particularly pronounced by scale variations in crowd images. Most state-of-art approaches tackle the multi-scale problem by adopting multi-column CNN architectures where different columns are designed with different filter sizes to adapt to variable pedestrian ...
Xinya Chen +3 more
openaire +1 more source
Dynamic Camera Network Reconfiguration for Crowd Surveillance
Proceedings of the 12th International Conference on Distributed Smart Cameras, 2018Crowd surveillance will play a fundamental role in the coming generation of video surveillance systems, in particular for improving public safety and security. However, traditional camera networks are mostly not able to closely survey the entire monitoring area due to limitations in coverage, resolution and analytics performance. A smart camera network,
Bisagno, Niccoló +2 more
openaire +2 more sources
Jointly attention network for crowd counting
Neurocomputing, 2022Yuqiang He +3 more
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
Knowledge Networks, Crowds, and Markets
2018In some knowledge-based urban contexts, a new way of conducting creativity and innovation is already operating quasi-independently of the current money system. Its chief ingredients are intangible assets such as time, imagination, knowledge, initiative, and trust, to which money has quickly moved from primary to secondary concern. In this context, this
openaire +1 more source
Cloud- and Crowd-Networked Pedagogy
2016Our knowledge is constantly shifting from analog literacies to digital literacies, industrial literacies to information societies, paper literacies to screen literacies, and mono-modal literacies to multimodal literacies for which digital technology and/or digital culture has become a dynamic and evolving force.
openaire +1 more source
Crowd Characterization in Surveillance Videos Using Deep-Graph Convolutional Neural Network
IEEE Transactions on Cybernetics, 2023Shreetam Behera +2 more
exaly
Learning crowd behavior from real data: A residual network method for crowd simulation
Neurocomputing, 2020Dianjie Lu, Hong Liu, Guijuan Zhang
exaly