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Crowd Density Forecasting by Modeling Patch-based Dynamics [article]

Hiroaki Minoura and Ryo Yonetani and Mai Nishimura and Yoshitaka Ushiku
2019 arXiv   pre-print
PDFN represents a crowd density map based on spatially overlapping patches and learns density dynamics patch-wise in a compact latent space.  ...  To address this task, we have developed the patch-based density forecasting network (PDFN), which enables forecasting over a sequence of crowd density maps describing how crowded each location is in each  ...  By modeling patch-based dynamics, our approach was able to capture diverse and complex crowd density dynamics due to various numbers of independent groups of people.  ... 
arXiv:1911.09814v1 fatcat:x2xsmvce75bvnf5boyf6v6p2ry

Crowd Density Forecasting by Modeling Patch-based Dynamics

Hiroaki Minoura, Ryo Yonetani, Mai Nishimura, Yoshitaka Ushiku
2020 IEEE Robotics and Automation Letters  
The PDFNs represent crowd density maps based on spatially or spatiotemporally overlapping patches and learn a simple density dynamics of fewer people in each patch.  ...  To address this task, we developed the patch-based density forecasting networks (PDFNs), which directly forecasts crowd density maps of future frames instead of trajectories of each moving person in the  ...  By modeling patch-based dynamics, our approach captures diverse and complex crowd density dynamics efficiently.  ... 
doi:10.1109/lra.2020.3043169 fatcat:wzm63pcwjjcybpvafbuk7zrqc4

Over-crowdedness Alert! Forecasting the Future Crowd Distribution [article]

Yuzhen Niu, Weifeng Shi, Wenxi Liu, Shengfeng He, Jia Pan, Antoni B. Chan
2020 arXiv   pre-print
Studying this research problem will benefit applications concerned with forecasting crowd dynamics.  ...  Finally, we demonstrate that our framework is able to predict the crowd distribution for different crowd scenarios and we delve into applications including predicting future crowd count, forecasting high-density  ...  As illustrated, observing the crowd gathering behavior within the red box, our model manages to forecast the high-density area (indicated by the yellow region) ahead of time.  ... 
arXiv:2006.05127v1 fatcat:y6vdv7foo5bfbngo76iiqhlxkq

Guest Editorial: Introduction to the Special Issue on Long-Term Human Motion Prediction

Luigi Palmieri, Rudenko Andrey, Jim Mainprice, Marc Hanheide, Alexandre Alahi, Achim Lilienthal, Kai O. Arras
2021 IEEE Robotics and Automation Letters  
Marc Hanheide is a Principle Investigator in many national and international research projects, funded by H2020, EPSRC, InnovateUK, DFG, industry partners, and others.  ...  Ushiku, "Crowd density forecasting by modeling patch-based dynamics," IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 287-294, 2021 . 3) H. Abdelkawy, N. Ayari, A. Chibani, Y.  ...  To address this task, the authors developed a patch-based density forecasting network, which directly forecasts crowd density maps of future frames based on spatially or spatiotemporally overlapping patches  ... 
doi:10.1109/lra.2021.3077964 fatcat:2gzbhc3x7rgsloieovogcbo6gm

Scanning the Issue

Azim Eskandarian
2021 IEEE transactions on intelligent transportation systems (Print)  
Finally, considering the cross-scene crowd counting in practice, the authors evaluate their model on some cross-scene datasets.  ...  baseline models.  ...  Furthermore, the authors introduce a new evaluation method named the patch absolute error (PAE) which is appropriate to measure the accuracy of a density map.  ... 
doi:10.1109/tits.2021.3098395 fatcat:s7r5jkvwbfe2hntml6gylicktq

Deep-AIR: A Hybrid CNN-LSTM Framework for Air Quality Modeling in Metropolitan Cities [article]

Yang Han, Qi Zhang, Victor O.K. Li, Jacqueline C.K. Lam
2021 arXiv   pre-print
Whilst accurately monitoring and forecasting air pollution are highly crucial, existing data-driven models fail to fully address the complex interaction between air pollution and urban dynamics.  ...  density.  ...  ACKNOWLEDGMENTS This research is supported in part by the Theme-based Research Scheme of the Research Grants Council of Hong Kong, under Grant No. T41-709/17-N.  ... 
arXiv:2103.14587v1 fatcat:ry2zcwif3rdspgyrazqndjeaqy

Intelligent video surveillance: a review through deep learning techniques for crowd analysis

G. Sreenu, M. A. Saleem Durai
2019 Journal of Big Data  
Majority of the papers reviewed in this survey are based on deep learning technique. Various deep learning methods are compared in terms of their algorithms and models.  ...  The paper includes a deep rooted survey which starts from object recognition, action recognition, crowd analysis and finally violence detection in a crowd environment.  ...  GMM-MRF model mainly divided into two sections where first section identifies motion pttern through Fig. 2 a 2 Test video, b results of global matching, c a query crowd patch, d matching crowd patches  ... 
doi:10.1186/s40537-019-0212-5 fatcat:mh7d5d5c5zeczf5sdmgwz3claq

Spatiotemporal Modeling for Crowd Counting in Videos [article]

Feng Xiong, Xingjian Shi, Dit-Yan Yeung
2017 arXiv   pre-print
Region of Interest (ROI) crowd counting can be formulated as a regression problem of learning a mapping from an image or a video frame to a crowd density map.  ...  Recently, convolutional neural network (CNN) models have achieved promising results for crowd counting.  ...  [28] proposed a ConvLSTM-based method to model the spatiotemporal dynamics for pixel-level prediction in natural videos. Also, Y. Zhang et al.  ... 
arXiv:1707.07890v1 fatcat:ipuybga4jvaclpbj7gkt5q65ka

Effects of Environment Knowledge in Evacuation Scenarios Involving Fire and Smoke: A Multiscale Modelling and Simulation Approach

Omar Richardson, Andrei Jalba, Adrian Muntean
2018 Fire technology  
We study the evacuation dynamics of a crowd evacuating from a complex geometry in the presence of a fire as well as of a slowly spreading smoke curtain.  ...  dynamics.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution  ... 
doi:10.1007/s10694-018-0743-x fatcat:lua4qqsmdngg5li5ggklz3tewa

The S-HOCK dataset: Analyzing crowds at the stadium

Davide Conigliaro, Paolo Rota, Francesco Setti, Chiara Bassetti, Nicola Conci, Nicu Sebe, Marco Cristani
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
The topic of crowd modeling in computer vision usually assumes a single generic typology of crowd, which is very simplistic.  ...  In this paper we adopt a taxonomy that is widely accepted in sociology, focusing on a particular category, the spectator crowd, which is formed by people "interested in watching something specific that  ...  Bassetti have been supported by the VIS-COSO project grant, financed by the Autonomous Province of Trento through the "Team 2011" funding program. P. Rota and N.  ... 
doi:10.1109/cvpr.2015.7298815 dblp:conf/cvpr/ConigliaroRSBCS15 fatcat:z5s4g3hv3recbgla5sjbbhzbf4

Forecasting Interactive Dynamics of Pedestrians with Fictitious Play [article]

Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani
2017 arXiv   pre-print
We develop predictive models of pedestrian dynamics by encoding the coupled nature of multi-pedestrian interaction using game theory, and deep learning-based visual analysis to estimate person-specific  ...  of one pedestrian can affect the actions taken by others and (2) dynamics are variable depending on an individuals physical characteristics (e.g., an older person may walk slowly while the younger person  ...  Acknowledgement This work was supported by JST CREST Grant Number JPMJCR14E1, Japan.  ... 
arXiv:1604.01431v3 fatcat:6x2vk4nehbh73mqrpc5hickqou

Clonal growth dynamics of the invasive Carpobrotus affine acinaciformis in Mediterranean coastal systems: A non-linear model

Tomás Sintes, E. Moragues, A. Traveset, J. Rita
2007 Ecological Modelling  
We found that young patches of Carpobrotus (<20 years old) are characterised by a biomass production and quantity and density of nodes that grow exponentially with an exponent that depends on the branching  ...  Regarding the implications for the management of Carpobrotus, it is remarkable that with few relevant parameters we have been able to reproduce the patch dynamics of this plant, which may indeed be quite  ...  Acknowledgments This paper is framed within projects EPIDEMIE (Exotic Plant Invasions: Deleterious Effects on Mediterranean Island Ecosystems) a research project supported by the European Commission under  ... 
doi:10.1016/j.ecolmodel.2007.03.027 fatcat:jmxhio2wwfcqrnbv35g7omotze

A model for the biomass–density dynamics of seagrasses developed and calibrated on global data

Vasco M. N. C. S. Vieira, Inês E. Lopes, Joel C. Creed
2019 BMC Ecology  
Understanding the dynamics of their stands is essential in order to better assess natural and anthropogenic impacts.  ...  This requires that they simultaneously grow in biomass and iterate new shoots to increase density. However, this strategy depresses their biomass potential.  ...  This was estimated by Principal Components Analysis (PCA) based on the biomass-density covariance matrix.  ... 
doi:10.1186/s12898-019-0221-4 pmid:30683077 pmcid:PMC6346591 fatcat:qqupnjdkprdyblqq4kfikfufj4

Information integration for nutritional decision-making in desert locusts [article]

Yannick Günzel, Felix B. Oberhauser, Einat Couzin-Fuchs
2022 bioRxiv   pre-print
We then predicted the decisions of individual locusts based on personally acquired and socially derived evidence by disentangling the relative contributions of each information class.  ...  We tested individual gregarious animals and groups of different sizes in a 2-choice behavioural assay in which food patch qualities were either different or similar.  ...  Interactions with food patches were strongly influenced by prevailing animal densities.  ... 
doi:10.1101/2022.05.16.492099 fatcat:xgpda36tffgpjmwqkjd7djnyoq

Sustainable management, earthquake disturbances, and transient dynamics: modelling timber harvesting impacts in mixed-species forests

Georges Kunstler, Robert B. Allen, David A. Coomes, Charles D. Canham, Elaine F. Wright
2012 Annals of Forest Science  
. & Aims We used SORTIE/NZ, an individual tree-based forest dynamics model, to understand how harvesting and earthquake disturbance affect the dynamics of a New Zealand podocarp-angiosperm forest. & Methods  ...  Evaluating management impacts without accounting for these complex dynamics may be misleading. Models make predictions about transient trajectories that may help to evaluate these impacts.  ...  Model evaluation Quantitative evaluation of individual-based models of forest dynamics is difficult because long-term field data are rarely available.  ... 
doi:10.1007/s13595-012-0256-6 fatcat:kahcfkmcufhthoidmdae45dram
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