Results 11 to 20 of about 124,762 (273)
PaDNet: Pan-Density Crowd Counting [PDF]
IEEE Transactions on Image Processing, 2020 The problem of counting crowds in varying density scenes or in different density regions of the same scene, named as pan-density crowd counting, is highly challenging. Previous methods are designed for single density scenes or do not fully utilize pan-density information.
Yukun Tian +3 more
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Towards using count-level weak supervision for crowd counting [PDF]
Pattern Recognition, 2021 Most existing crowd counting methods require object location-level annotation, i.e., placing a dot at the center of an object. While being simpler than the bounding-box or pixel-level annotation, obtaining this annotation is still labor-intensive and time-consuming especially for images with highly crowded scenes.
Yinjie Lei +3 more
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Crowd counting with crowd attention convolutional neural network
Neurocomputing, 2020 Accepted by ...
Jiwei Chen, Wen Su, Zengfu Wang
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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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Scene Adaptive Segmentation for Crowd Counting in Population Heterogeneous Distribution
Applied Sciences, 2022 Crowd counting is an important part of crowd analysis and has been widely applied in the field of public safety and commercial management. Although researchers have proposed many crowd counting methods, there is little research on non-uniform population ...
Hui Gao +3 more
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IEEE Access, 2020 Nowadays, crowd analysis is one of the most important concepts that needs be relied upon, it contributes to decision making and ensuring the safety and security of the crowd.
Reem Alotaibi +5 more
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HAGN: Hierarchical Attention Guided Network for Crowd Counting
IEEE Access, 2020 In recent years, deep learning based crowd counting networks have achieved significant progress. However, most of them generate rough crowd density maps due to low-resolution features used for estimating crowd distribution, which affects the performance ...
Zuodong Duan, Yujun Xie, Jiahao Deng
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