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Article
SaReGAN: a salient regional generative adversarial network for visible and infrared image fusion
Multispectral image fusion plays a crucial role in smart city environment safety. In the domain of visible and infrared image fusion, object vanishment after fusion is a key problem which restricts the fusion ...
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Article
Multiscale aggregation network via smooth inverse map for crowd counting
Crowd counting is a practical yet essential research topic in computer vision, which has been beneficial to diverse applications in smart city environment safety. The commonly adopted paradigm in most existing...
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Article
A comprehensive analysis for crowd counting methodologies and algorithms in Internet of Things
The Internet of Things (IoT) provides a collaborative infrastructure to communicate smart devices with cloud-edge healthcare applications, medical devices, wearable biosensors, etc. On the other hand, crowd co...
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Article
\(\hbox {DA}^2\) Net: a dual attention-aware network for robust crowd counting
Crowd counting in congested scenes is a crucial yet challenging task in video surveillance and urban security system. The performance of crowd counting has been greatly boosted with the rapid development of de...
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Article
An attentive hierarchy ConvNet for crowd counting in smart city
Crowd counting plays a crucial rule in the development of smart city. However, the problems of scale variations and background interferences degrade the performance of the crowd counting in real-world scenario...
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Article
Dense Attention Fusion Network for Object Counting in IoT System
IoT has been overwhelmingly empowered by the rapid development of big-data ecosystems, such as remote sensing technology which runs all the time in obtaining accurate and high-quality images to facilitate the ...