Results 251 to 260 of about 2,578,119 (290)

LITERATURE REVIEW ON CROWD COUNTING AND CROWD DENSITY MAPPING METHODOLOGIES

International Journal of Engineering Applied Sciences and Technology, 2021
Purpose of Review: Artificial Intelligence and Machine Learning technologies have enabled the analysis of the crowd which helps monitor and manage the crowd effectively. With further advancements in the field of AI and ML, the quality and the accuracy of the analysis have improved considerably.
Bhat Sirish Mahadeva, Chandan C Rao, Thushar S Kulal, Udbhav U, Ranganatha K   +4 more
openaire   +1 more source

Crowd Density Prediction

International Scientific Journal of Engineering and Management
Abstract - Crowd density prediction is a critical task in modern public safety, urban planning, and large-scale event management. Accurately estimating the number of people and their spatial distribution enables authorities to prevent dangerous overcrowding and optimize resource deployment.
Prof. Ayush Pandey, Sai Gagan J, Tarun Kumar V, Ravi Kiran, Vivekananda Reddy G   +4 more
openaire   +1 more source

Density-Aware Curriculum Learning for Crowd Counting

IEEE Transactions on Cybernetics, 2022
Recently, crowd counting draws much attention on account of its significant meaning in congestion control, public safety, and ecological surveys. Although the performance is improved dramatically due to the development of deep learning, the scales of these networks also become larger and more complex.
Qi Wang 0009, Wei Lin 0018, Junyu Gao 0001, Xuelong Li 0001   +3 more
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Crowd Density Estimation for Outdoor Environments

Proceedings of the 8th International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS), 2015
Crowd density analysis is crucial in management and control of the crowds and ensure safety. In this paper, we proposed two crowd density estimation methods using texture descriptors of the image in outdoor scenes. Two methods based on different techniques, one using Local Binary Pattern and Gabor filters, and the other using 5 statistics of Grey Level
Marjan Jalali Moghaddam, Elham Shaabani, Reza Safabakhsh   +2 more
openaire   +1 more source

Approaches on crowd counting and density estimation: a review

Pattern Analysis and Applications, 2021
In recent years, urgent needs for counting crowds and vehicles have greatly promoted research of crowd counting and density estimation. Benefiting from the rapid development of deep learning, the counting performance has been greatly improved, and the application scenarios have been further expanded.
Bo Li 0128, Hongbo Huang, Ang Zhang, Peiwen Liu, Cheng Liu   +4 more
openaire   +2 more sources

Multiple human tracking in high-density crowds

Image and Vision Computing, 2009
In this paper, we present a fully automatic approach to multiple human detection and tracking in high density crowds in the presence of extreme occlusion. Human detection and tracking in high density crowds is an unsolved problem. Standard preprocessing techniques such as background modeling fail when most of the scene is in motion.
Irshad Ali, Matthew N. Dailey
openaire   +2 more sources

The Relationship between Density and Crowding

Environment and Behavior, 1977
It was hypothesized that architectural features of rooms, other than room size, would affect the perceived size of the rooms as well as perceived crowdedness. This hypothesis was examined with reference to usable space, level of illumination, and expansiveness of view from room windows.
Allen I. Schiffenbauer, Janet E. Brown, Pamela L. Perry, Louise K. Shulack, Alice M. Zanzola   +4 more
openaire   +1 more source

Crowding Effects of Density and Interpersonal Distance

The Journal of Social Psychology, 1992
In this study, Turkish teenagers were the subjects in an investigation of the effects of spatial and social variables on perceived crowding. In Study 1, male and female subjects were presented with diagrams that simulated social situations in which (a) distance between the subject and other persons, (b) number, or density, of subjects, (c) sex, and (d)
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Population density, crowding and human behaviour

Progress in Human Geography, 1979
The author reviews the existing literature on density and crowding from a geographical perspective with a focus on the concerns of urban geographers. Several types of empirical studies are described and reviewed and research on models of crowding is outlined (ANNOTATION)
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Density Map Estimation for Crowded Chicken

2019
Intensive breeding is the trend of the breeding industry. In order to make it more convenient to manage and reduce labor costs, sometimes we need to estimate the number of individuals in the poultry farm and discriminate the density distribution to help scientific management. At the same time, crowd density estimation is a developing research direction
Dong Cheng, Tianze Rong, Guitao Cao
openaire   +2 more sources