Results 21 to 30 of about 124,762 (273)
Sample labeler for crowd counting based on a first neighbor clustering
Xi'an Gongcheng Daxue xuebao, 2021 In terms of crowd counting methods, usually a large number of labeled samples were meeded to train a counting model. In practical applications, to solve the problem of high cost and low efficiency of manually labeling samples, a new sample labeling ...
Kaibing ZHANG +3 more
doaj +1 more source
Depth Information Guided Crowd Counting for complex crowd scenes [PDF]
Pattern Recognition Letters, 2019 9 pages, 8 figures.
Mingliang Xu +6 more
openaire +2 more sources
Crowd Counting Algorithm Based on Feature Pyramid Network [PDF]
Jisuanji gongcheng, 2019 The single-picture crowd count has a sharp decline in performance due to severe population occlusion and scale changes.Therefore,this paper proposes an algorithm for crowd counting pictures,and gives a Full Convolution Network(FCN) capable of processing ...
MA Hao, YIN Baoqun, PENG Sifan
doaj +1 more source
SRNet: Scale-Aware Representation Learning Network for Dense Crowd Counting
IEEE Access, 2021 Huge variations in the scales of people in images create an extremely challenging problem in the task of crowd counting. Currently, many researchers apply multi-column structures to solve the scale variation problem.
Liangjun Huang +4 more
doaj +1 more source
Mask-Aware Networks for Crowd Counting [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2020 Crowd counting problem aims to count the number of objects within an image or a frame in the videos and is usually solved by estimating the density map generated from the object location annotations. The values in the density map, by nature, take two possible states: zero indicating no object around, a non-zero value indicating the existence of objects
Shengqin Jiang +3 more
openaire +2 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 perspective distortion.
Liu, Weizhe +2 more
openaire +2 more sources
Relevant region prediction for crowd counting [PDF]
Neurocomputing, 2020 accepted by ...
Chen, Xinya +4 more
openaire +2 more sources
A Novel Device-Free Counting Method Based on Channel Status Information
Sensors, 2018 Crowd counting is of significant importance for numerous applications, e.g., urban security, intelligent surveillance and crowd management. Existing crowd counting methods typically require specialized hardware deployment and strict operating conditions,
Junhuai Li +4 more
doaj +1 more source
FSC-Set: Counting, Localization of Football Supporters Crowd in the Stadiums
IEEE Access, 2022 Counting the number of people in a crowd has gained attention in the last decade. Due to its benefit to many applications such as crowd behavior analysis, crowd management, and video surveillance systems, etc.
Omar Elharrouss +5 more
doaj +1 more source
Crowd Counting Network with Attention Mechanism and Contextual Density Map [PDF]
Jisuanji gongcheng, 2022 To analyze the flow of people in a business district and avoid crowd stampedes, the crowd counting method is usually used to count the number of people in a monitoring image to achieve the effect of early warning.Affected by target occlusion, background ...
WU Qiyuan, WANG Xiaodong, ZHANG Lianjun, GAO Hailing, ZHAO Shenhao
doaj +1 more source