Results 21 to 30 of about 40,421 (274)
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
doaj +1 more source
Counting with Focus for Free [PDF]
, 2019 This paper aims to count arbitrary objects in images. The leading counting approaches start from point annotations per object from which they construct density maps.
Mettes, Pascal +2 more
core +2 more sources
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank [PDF]
, 2019 For many applications the collection of labeled data is expensive laborious. Exploitation of unlabeled data during training is thus a long pursued objective of machine learning.
Bagdanov, Andrew D. +2 more
core +2 more sources
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
openaire +2 more sources
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
doaj +1 more source
Crowd Counting Network Based on Feature Enhancement Loss and Foreground Attention [PDF]
Jisuanji kexue, 2023 Crowd counting aims to estimate the total number of people in an image and present its distribution accurately.The images in the relevant datasets usually involve a variety of scenes and include multiple people.To save labor,most datasets usually ...
ZHANG Yi, WU Qin
doaj +1 more source
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 +4 more
openaire +1 more source
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
doaj +1 more source
Parameter Estimation of Social Forces in Crowd Dynamics Models via a Probabilistic Method [PDF]
, 2014 Focusing on a specific crowd dynamics situation, including real life experiments and measurements, our paper targets a twofold aim: (1) we present a Bayesian probabilistic method to estimate the value and the uncertainty (in the form of a probability ...
Corbetta, Alessandro +3 more
core +2 more sources
Density-aware person detection and tracking in crowds [PDF]
, 2011 International audienceWe address the problem of person detection and tracking in crowded video scenes. While the detection of individual objects has been improved significantly over the recent years, crowd scenes remain particularly challenging for the ...
Audibert, Jean-Yves +3 more
core +3 more sources