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Auxiliary learning for crowd counting via count-net
Neurocomputing, 2018Abstract This paper aims to develop a simple but effective method that can estimate the number of people in still images. Inspired by the successful applications of deep learning and the appearance of crowd, we design a count-net based on Convolutional Neural Network (CNN).
Youmei Zhang +4 more
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Feature Reaggregation Network for Crowd Counting
2020 4th International Conference on Advances in Image Processing, 2020In this paper, we propose a novel end-to-end network named Feature Reaggregation Network (FRNet) for crowd counting, which focuses on fusing the multi-scale features in the hierarchy for generating high-quality density maps. Two level and three level feature reaggregation modules are developed between the backbone network and the next feature ...
Xiaoliang Hao +4 more
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Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, 2013
Smartphones are excellent mobile sensing platforms, with the microphone in particular being exercised in several audio inference applications. We take smartphone audio inference a step further and demonstrate for the first time that it's possible to accurately estimate the number of people talking in a certain place -- with an average error distance of
Chenren Xu +7 more
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Smartphones are excellent mobile sensing platforms, with the microphone in particular being exercised in several audio inference applications. We take smartphone audio inference a step further and demonstrate for the first time that it's possible to accurately estimate the number of people talking in a certain place -- with an average error distance of
Chenren Xu +7 more
openaire +2 more sources
Crowd Counting in the Frequency Domain
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022Weibo Shu +4 more
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A Method for Counting People in Crowded Scenes
2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010This paper presents a novel method to count people forvideo surveillance applications. Methods in the literatureeither follow a direct approach, by first detecting people andthen counting them, or an indirect approach, by establishinga relation between some easily detectable scene featuresand the estimated number of people.
CONTE, Donatello +4 more
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A method to estimate crowd size and crowd count
Journal of Information and Optimization SciencesCrowd is known when people in large number gather together. When crowd gather for any reasons, it may cause any serious problem for administration. So authority must know about actual situation of crowd. In recent years need for crowd size estimation, has arisen to manage the crowd well.
Ravi Saharan +2 more
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Multidimensional Measure Matching for Crowd Counting
IEEE Transactions on Neural Networks and Learning SystemsThis article addresses the challenge of scale variations in crowd-counting problems from a multidimensional measure-theoretic perspective. We start by formulating crowd counting as a measure-matching problem, based on the assumption that discrete measures can express the scattered ground truth and the predicted density map.
Hui Lin +4 more
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Crowd counting in congested scene by CNN and Transformer: Crowd counting for converged networks
Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023Yuanyuan Lin +4 more
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A survey of crowd counting and density estimation based on convolutional neural network
Neurocomputing, 2022Zizhu Fan, Yudong Zhang, Guangming Lu
exaly
RGB-D Crowd Counting With Cross-Modal Cycle-Attention Fusion and Fine-Coarse Supervision
IEEE Transactions on Industrial Informatics, 2023Shihui Zhang, He Li, Weihang Kong
exaly