Results 21 to 30 of about 4,036,534 (282)
Congestion-Aware Bayesian Loss for Crowd Counting
IEEE Access, 2022 Deep learning-based crowd density estimation can greatly improve the accuracy of crowd counting. Though a Bayesian loss method resolves the two problems of the need of a hand-crafted ground truth (GT) density and noisy annotations, counting accurately in
Jiyeoup Jeong +3 more
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An Approach for Crowd Density and Crowd Size Estimation
Journal of Software, 2014 Crowd density estimation is very important in intelligent crowd monitoring. In this paper, a new approach of crowed density estimation is proposed. This method combines the advantage of pixel statistical feature and texture analysis, and reduces the impact of perspective distortion by dividing the region of interest.
Ming Jiang 0009 +4 more
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DCTNets: Deep crowd transfer networks for an approximate crowd counting
Cognitive Robotics, 2022 Due to the numerous real-world applications of the crowd counting job, it has become a popular research topic. Modern crowd counting systems have a sophisticated structure and employ a filter on a big image size, making them difficult to use.
Arslan Ali, Weihua Ou, Saima Kanwal
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Automatic crowd density and motion analysis in airborne image sequences based on a probabilistic framework [PDF]
, 2011 Real-time monitoring of crowded regions has crucial importance to avoid overload of people in certain areas. Understanding behavioral dynamics of large people groups can also help to estimate future status of underground passages, public areas, or ...
Reinartz, Peter +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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Coordinated crowd simulation with topological scene analysis [PDF]
, 2016 This paper proposes a new algorithm to produce globally coordinated crowds in an environment with multiple paths and obstacles. Simple greedy crowd control methods easily lead to congestion at bottlenecks within scenes, as the characters do not cooperate
Taku Komura +6 more
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LTE Signals for Device-Free Crowd Density Estimation Through CSI Secant Set and SVD
IEEE Access, 2019 The rising need of crowd monitoring in public spaces, especially for safety purposes, pushes the research community to propose and experiment novel methods of crowd density estimation.
Mauro De Sanctis +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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Density Estimation of Unidirectional Crowds
Proceedings of the 2014 International Conference on Computer, Communications and Information Technology, 2014 An improved pixel-based method is proposed in this paper aiming at density estimation for unidirectional crowds. It is a common situation that the crowd gathered facing towards the same orientation where hazardous events may be prone to occur due to high density, such as crowds gathered in front of a rostrum, crowds waiting at an entrance, flowing ...
Yi Fan +3 more
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A-CCNN: Adaptive CCNN for Density Estimation and Crowd Counting [PDF]
2018 25th IEEE International Conference on Image Processing (ICIP), 2018 5 pages, 2 ...
Saeed Amirgholipour Kasmani +4 more
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