Results 11 to 20 of about 322,190 (190)
A Crowd Counting Framework Combining with Crowd Location [PDF]
Journal of Advanced Transportation, 2021 In the past ten years, crowd detection and counting have been applied in many fields such as station crowd statistics, urban safety prevention, and people flow statistics.
Jin Zhang +5 more
doaj +3 more sources
Crowd counting: a behavioural economics perspective. [PDF]
Qual Quant, 2021 Developments in technology have facilitated the emergence of new crowd counting organisations. Some of the organisations have established platforms to disseminate their data, making it available to researchers for the first time.
Phillips PJ, Pohl G.
europepmc +6 more sources
Backdoor Attacks on Crowd Counting [PDF]
Proceedings of the 30th ACM International Conference on Multimedia, 2022 Crowd counting is a regression task that estimates the number of people in a scene image, which plays a vital role in a range of safety-critical applications, such as video surveillance, traffic monitoring and flow control.
Cheng, Yu +8 more
core +4 more sources
Scene invariant crowd counting [PDF]
2011 International Conference on Digital Image Computing: Techniques and Applications, 2011 This paper describes a scene invariant crowd counting algorithm that uses local features to monitor crowd size. Unlike previous algorithms that require each camera to be trained separately, the proposed method uses camera calibration to scale between ...
Fookes, Clinton B. +7 more
core +4 more sources
Crowd Counting with Decomposed Uncertainty
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Research in neural networks in the field of computer vision has achieved remarkable accuracy for point estimation. However, the uncertainty in the estimation is rarely addressed.
Ramamurthy, Karthikeyan Natesan +2 more
core +5 more sources
Context-Aware Crowd Counting [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 State-of-the-art methods for counting people in crowded scenes rely on deep networks to estimate crowd density. They typically use the same filters over the whole image or over large image patches. Only then do they estimate local scale to compensate for
Fua, Pascal +5 more
core +7 more sources
Crowd counting using a self‐attention multi‐scale cascaded network
IET Computer Vision, 2019 Recent developments of crowd analysis and behaviour prediction have attracted much attention. Crowd counting, as the essential and challenging task in crowd analysis, is riddled with many issues, such as large scale variations, serious occlusion, and so ...
He Li, Shihui Zhang, Weihang Kong
doaj +2 more sources
Modernized Crowd Counting Strategies for Mass Gatherings-A Review. [PDF]
J Acute Med, 2023 Estimation of crowd size for large gatherings is an indispensable metric for event planners, local authorities, and emergency management. Currently, most crowd counting relies on dated methods such as people counters, entrance sensors, and ticket sales ...
Fiandeiro M, Nguyen TT, Wong H, Hsu EB.
europepmc +2 more sources
Fine-Grained Crowd Counting [PDF]
IEEE Transactions on Image Processing, 2021 Current crowd counting algorithms are only concerned about the number of people in an image, which lacks low-level fine-grained information of the crowd. For many practical applications, the total number of people in an image is not as useful as the number of people in each sub-category. E.g., knowing the number of people waiting inline or browsing can
Jia Wan 0001 +2 more
openaire +4 more sources
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
doaj +1 more source