Congested Crowd Counting via Adaptive Multi-Scale Context Learning [PDF]
Sensors, 2021 In this paper, we propose a novel congested crowd counting network for crowd density estimation, i.e., the Adaptive Multi-scale Context Aggregation Network (MSCANet).
Yani Zhang +5 more
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Context-Aware Multi-Scale Aggregation Network for Congested Crowd Counting [PDF]
Sensors, 2022 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.
Liangjun Huang +4 more
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Redesigned Skip-Network for Crowd Counting with Dilated Convolution and Backward Connection [PDF]
Journal of Imaging, 2020 Crowd counting is a challenging task dealing with the variation of an object scale and a crowd density. Existing works have emphasized on skip connections by integrating shallower layers with deeper layers, where each layer extracts features in a ...
Sorn Sooksatra +3 more
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HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting [PDF]
Sensors, 2021 Crowd counting is a challenging task due to large perspective, density, and scale variations. CNN-based crowd counting techniques have achieved significant performance in sparse to dense environments.
Naveed Ilyas, Boreom Lee, Kiseon Kim
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Crowd counting in domain generalization based on multi-scale attention and hierarchy level enhancement [PDF]
Scientific ReportsIn order to solve the problem of weak single domain generalization ability in existing crowd counting methods, this study proposes a new crowd counting framework called Multi-scale Attention and Hierarchy level Enhancement (MAHE).
Jiarui Zhou, Jianming Zhang, Yan Gui
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Encoder-Decoder Network Fusing Channel and Spatial Attention for Crowd Counting [PDF]
Jisuanji kexue yu tansuo, 2022 The purpose of crowd counting is to accurately predict the number, distribution and density of crowds in real scenes. However, crowd counting often suffers from some problems such as complex background, diverse target scales, and cluttered crowd ...
YU Ying, PAN Cheng, ZHU Huilin, QIAN Jin, TANG Hong
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Learn from Object Counting: Crowd Counting with Meta‐learning
IET Image Processing, 2021 The objective of crowd counting is to learn a counter that can estimate the number of people in a single image. So far, most of the proposed work evaluates the crowd density by fitting the constructed density map corresponding to the sample.
Changtong Zan +4 more
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Crowd counting algorithm based on face detection and skin color recognition
Journal of Mechanical Engineering and Sciences, 2023 This paper introduces an innovative crowd counting algorithm using skin color information. Through stages of color space transformation, threshold segmentation, morphological processing, and region filtering, the algorithm successfully conducts crowd ...
YaNan Hao, V.C. Tai, Y.C. Tan
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Advances in Convolution Neural Networks Based Crowd Counting and Density Estimation
Big Data and Cognitive Computing, 2021 Automatically estimating the number of people in unconstrained scenes is a crucial yet challenging task in different real-world applications, including video surveillance, public safety, urban planning, and traffic monitoring.
Rafik Gouiaa +2 more
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A Multi-scale Crowd Counting Algorithm with Removing Background Interference [PDF]
Jisuanji gongcheng, 2022 Crowd counting technology is aimed at estimating the number of people in crowd pictures or videos.The technology can effectively be applied to prevent stampede accidents and is widely used in security and early warning, urban planning, and management of ...
GUO Aixin, XIA Yinfeng, WANG Dawei, LU Bin
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