Literatura académica sobre el tema "Crowd Analysi"
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Artículos de revistas sobre el tema "Crowd Analysi"
Andriyanto, Sidhiq, M. Suyanto y Sukoco Sukoco. "Implementasi Metode Reynolds menggunakan Simulasi Kerumunan Bebek". INTENSIF 1, n.º 2 (21 de agosto de 2017): 75. http://dx.doi.org/10.29407/intensif.v1i2.788.
Texto completoBhuiyan, Roman, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid, Wan Noorshahida Mohd Isa, Jia Uddin y Norra Abdullah. "Deep Dilated Convolutional Neural Network for Crowd Density Image Classification with Dataset Augmentation for Hajj Pilgrimage". Sensors 22, n.º 14 (7 de julio de 2022): 5102. http://dx.doi.org/10.3390/s22145102.
Texto completoAiello, Lucia. "Digital Skill Evolution in an Industrial Relationship". International Journal of R&D Innovation Strategy 1, n.º 1 (enero de 2019): 1–15. http://dx.doi.org/10.4018/ijrdis.2019010101.
Texto completoHusman, Muhammad Afif, Waleed Albattah, Zulkifli Zainal Abidin, Yasir Mohd Mustafah, Kushsairy Kadir, Shabana Habib, Muhammad Islam y Sheroz Khan. "Unmanned Aerial Vehicles for Crowd Monitoring and Analysis". Electronics 10, n.º 23 (29 de noviembre de 2021): 2974. http://dx.doi.org/10.3390/electronics10232974.
Texto completoR, Shaamili. "A Research Perceptive on Deep Learning Framework for Pedestrian Detection in a Crowd". Computational Intelligence and Machine Learning 3, n.º 2 (14 de octubre de 2022): 9–14. http://dx.doi.org/10.36647/ciml/03.02.a002.
Texto completoElbishlawi, Sherif, Mohamed H. Abdelpakey, Agwad Eltantawy, Mohamed S. Shehata y Mostafa M. Mohamed. "Deep Learning-Based Crowd Scene Analysis Survey". Journal of Imaging 6, n.º 9 (11 de septiembre de 2020): 95. http://dx.doi.org/10.3390/jimaging6090095.
Texto completoBorch, Christian. "Body to Body: On the Political Anatomy of Crowds". Sociological Theory 27, n.º 3 (septiembre de 2009): 271–90. http://dx.doi.org/10.1111/j.1467-9558.2009.01348.x.
Texto completoMalhotra, Arvind y Ann Majchrzak. "Greater associative knowledge variety in crowdsourcing platforms leads to generation of novel solutions by crowds". Journal of Knowledge Management 23, n.º 8 (14 de octubre de 2019): 1628–51. http://dx.doi.org/10.1108/jkm-02-2019-0094.
Texto completoObbo, Aggrey, Pius Ariho y Evarist Nabaasa. "Towards People Crowd Detection Using Wireless Sensor Networks". European Journal of Technology 6, n.º 2 (17 de junio de 2022): 32–48. http://dx.doi.org/10.47672/ejt.1071.
Texto completoYugendar, Poojari y K. V. R. Ravishankar. "Crowd Behavioural Analysis at a Mass Gathering Event". Journal of KONBiN 46, n.º 1 (1 de junio de 2018): 5–20. http://dx.doi.org/10.2478/jok-2018-0020.
Texto completoTesis sobre el tema "Crowd Analysi"
Bisagno, Niccolò. "On simulating and predicting pedestrian trajectories in a crowd". Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/256722.
Texto completoMehran, Ramin. "Analysis of behaviors in crowd videos". Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4801.
Texto completoID: 031001560; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Title from PDF title page (viewed August 26, 2013).; Thesis (Ph.D.)--University of Central Florida, 2011.; Includes bibliographical references (p. 100-104).
Ph.D.
Doctorate
Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering
Holmer, Torsten y Jörg Rainer Noennig. "Listening to the Crowd". Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234390.
Texto completoHolmer, Torsten y Jörg Rainer Noennig. "Listening to the Crowd". TUDpress, 2017. https://tud.qucosa.de/id/qucosa%3A30888.
Texto completoKHAN, SULTAN DAUD. "Automatic Detection and Computer Vision Analysis of Flow Dynamics and Social Groups in Pedestrian Crowds". Doctoral thesis, Università degli Studi di Milano-Bicocca, 2016. http://hdl.handle.net/10281/102644.
Texto completoJan, Yasir. "Novel architectures for spectator crowd image analysis". Thesis, Jan, Yasir (2020) Novel architectures for spectator crowd image analysis. PhD thesis, Murdoch University, 2020. https://researchrepository.murdoch.edu.au/id/eprint/59147/.
Texto completoGuler, Puren. "Automated Crowd Behavior Analysis For Video Surveillance Applications". Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614659/index.pdf.
Texto completopeople counting, people tracking and crowd behavior analysis. In this thesis, the behavior understanding will be used for crowd behavior analysis. In the literature, there are two types of approaches for behavior understanding problem: analyzing behaviors of individuals in a crowd (object based) and using this knowledge to make deductions regarding the crowd behavior and analyzing the crowd as a whole (holistic based). In this work, a holistic approach is used to develop a real-time abnormality detection in crowds using scale invariant feature transform (SIFT) based features and unsupervised machine learning techniques.
Bisagno, Niccolò. "On simulating and predicting pedestrian trajectories in a crowd". Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/256722.
Texto completoUllah, Habib. "Crowd Motion Analysis: Segmentation, Anomaly Detection, and Behavior Classification". Doctoral thesis, Università degli studi di Trento, 2015. https://hdl.handle.net/11572/369001.
Texto completoFagette, Antoine. "Détection de foule et analyse de comportement par analyse vidéo". Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066709.
Texto completoThis thesis focuses on the similarity between a fluid and a crowd and on the adaptation of the particle video algorithm for crowd tracking and analysis. This interrogation ended up with the design of a complete system for crowd analysis out of which, this thesis has addressed three main problems: the detection of the crowd, the estimation of its density and the tracking of the flow in order to derive some behavior features.The contribution to crowd detection introduces a totally unsupervised method for the detection and location of dense crowds in images without context-awareness. After retrieving multi-scale texture-related feature vectors from the image, a binary classification is conducted to identify the crowd and the background.The density estimation algorithm is tackling the problem of learning regression models when it comes to large dense crowds. In such cases, the learning is impossible on real data as the ground truth is not available. Our method relies on the use of synthetic data for the learning phase and proves that the regression model obtained is valid for a use on real data.Our adaptation of the particle video algorithm leads us to consider the cloud of particles as statistically representative of the crowd. Therefore, each particle has physical properties that enable us to assess the validity of its behavior according to the one expected from a pedestrian, and to optimize its motion guided by the optical flow. This leads us to three applications: the detection of the entry and exit areas of the crowd in the image, the detection of dynamic occlusions and the possibility to link entry areas with exit ones, according to the flow of the pedestrians
Libros sobre el tema "Crowd Analysi"
Ali, Saad, Ko Nishino, Dinesh Manocha y Mubarak Shah, eds. Modeling, Simulation and Visual Analysis of Crowds. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8483-7.
Texto completoN, Pathak P. y Bhabha Atomic Research Centre, eds. Extraction chromatographic studies on a strontium selective crown ether. Mumbai: Bhabha Atomic Research Centre, 1998.
Buscar texto completoAssociates, Golder y Canada Centre for Mineral and Energy Technology., eds. Crown pillar stability back-analysis: Report to CANMET. Mississauga, Ont: Golder Associates Ltd., 1990.
Buscar texto completoSunkin, Maurice. The nature of the crown: A legal and political analysis. Oxford: Oxford University Press, 1999.
Buscar texto completoTonasket Ranger District (Wash.), Washington (State). Dept. of Ecology. y TerraMatrix Inc, eds. Crown Jewel Mine, draft environmental impact statement. Steamboat Springs, CO: TerraMatrix, 1995.
Buscar texto completoPlummer, Tony. The psychology of technical analysis: Profiting from crowd behavior and the dynamics of price. Chicago: Probus Pub. Co., 1993.
Buscar texto completoCrow-Omaha: New light on a classic problem of kinship analysis. Tucson: University of Arizona Press, 2012.
Buscar texto completoOntario. Ministry of Natural Resources. An environmental assessment of timber management on crown lands in the Megisan Lake area. Toronto: The Committee, 1996.
Buscar texto completoSentiment in the Forex market: Indicators and strategies to profit from crowd behavior and market extremes. Hoboken, N.J: John Wiley & Sons, 2008.
Buscar texto completoCerrah, Ibrahim. Crowds and public order policing: An analysis of crowds and interpretations of their behaviour based on observational studies in Turkey, England, and Wales. Aldershot: Ashgate/Dartmouth, 1998.
Buscar texto completoCapítulos de libros sobre el tema "Crowd Analysi"
Still, G. Keith. "RAMP analysis". En Applied Crowd Science, 103–17. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781351053068-5.
Texto completoStill, G. Keith. "Event egress analysis". En Applied Crowd Science, 159–67. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781351053068-10.
Texto completoStill, G. Keith. "Crowd risk analysis". En Applied Crowd Science, 149–58. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781351053068-9.
Texto completoStill, G. Keith. "Strategic and tactical analysis". En Applied Crowd Science, 169–81. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781351053068-11.
Texto completoAmsterdamer, Yael y Tova Milo. "Crowd Mining and Analysis". En Encyclopedia of Database Systems, 1–4. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_80657-2.
Texto completoAmsterdamer, Yael y Tova Milo. "Crowd Mining and Analysis". En Encyclopedia of Database Systems, 698–701. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_80657.
Texto completoRyan, David, Simon Denman, Sridha Sridharan y Clinton Fookes. "Scene Invariant Crowd Counting and Crowd Occupancy Analysis". En Studies in Computational Intelligence, 161–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28598-1_6.
Texto completoFeliciani, Claudio, Kenichiro Shimura y Katsuhiro Nishinari. "Analysis of Past Crowd Accidents". En Introduction to Crowd Management, 51–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90012-0_3.
Texto completoWąs, Jarosław y Krzysztof Kułakowski. "Social Groups in Crowd". En Encyclopedia of Social Network Analysis and Mining, 1–7. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_255-1.
Texto completoWąs, Jarosław y Krzysztof Kułakowski. "Social Groups in Crowd". En Encyclopedia of Social Network Analysis and Mining, 1784–90. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_255.
Texto completoActas de conferencias sobre el tema "Crowd Analysi"
De Luca, Antonio, Scott Lomax y Marguerite Jeansonne Pinto. "Advanced analysis of a pedestrian bridge and considerations on crowd-structure interaction". En IABSE Symposium, Prague 2022: Challenges for Existing and Oncoming Structures. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2022. http://dx.doi.org/10.2749/prague.2022.1427.
Texto completoDeshpande, N. P. y R. Gupta. "Crowd management using fuzzy logic and G.I.S." En RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100281.
Texto completoHuang, Hun, Ge Gao, Ziyi Ke, Cheng Peng y Ming Gu. "A Multi-Scenario Crowd Data Synthesis Based On Building Information Modeling". En The 29th EG-ICE International Workshop on Intelligent Computing in Engineering. EG-ICE, 2022. http://dx.doi.org/10.7146/aul.455.c223.
Texto completoMahata, Debanjan y Nitin Agarwal. "Learning from the crowd". En ASONAM '13: Advances in Social Networks Analysis and Mining 2013. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2492517.2492661.
Texto completoZubrilina, E. M., V. I. Novikov, H. S. Jamalov y V. S. Kompaniets. "ANALYSIS OF CROWDSOURCING INTERNET PLATFORMS AND THEIR IMPLEMENTATION IN THE EDUCATIONAL ENVIRONMENT". En STATE AND DEVELOPMENT PROSPECTS OF AGRIBUSINESS Volume 2. DSTU-Print, 2020. http://dx.doi.org/10.23947/interagro.2020.2.588-590.
Texto completoStuart, Daniel, Keith Christensen, Anthony Chen, Yong Kim y YangQuan Chen. "Utilizing Augmented Reality Technology for Crowd Pedestrian Analysis Involving Individuals With Disabilities". En ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12765.
Texto completoCao, Tian, Xinyu Wu, Jinnian Guo, Shiqi Yu y Yangsheng Xu. "Abnormal crowd motion analysis". En 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2009. http://dx.doi.org/10.1109/robio.2009.5420408.
Texto completoDuyar, Mustafa. "Mass Conserving Elastohydrodynamic Piston Lubrication Model With Incorporated Crown Lands". En ASME 2007 Internal Combustion Engine Division Fall Technical Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/icef2007-1710.
Texto completoDupont, Camille, Luis Tobias y Bertrand Luvison. "Crowd-11: A Dataset for Fine Grained Crowd Behaviour Analysis". En 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2017. http://dx.doi.org/10.1109/cvprw.2017.271.
Texto completoPhu, Quy Nguyen Pham, Vy Nguyen, Tien Do y Thanh Duc Ngo. "Measuring Crowd Collectiveness with Trajectory Smoothing". En 2018 1st International Conference on Multimedia Analysis and Pattern Recognition (MAPR). IEEE, 2018. http://dx.doi.org/10.1109/mapr.2018.8337520.
Texto completoInformes sobre el tema "Crowd Analysi"
Petty, Mikel D., Ryland C. Gaskins y Frederic D. McKenzie. Crowd Modeling in Military Simulations: Requirements Analysis, Survey, and Design Study. Fort Belvoir, VA: Defense Technical Information Center, abril de 2003. http://dx.doi.org/10.21236/ada474641.
Texto completoSchomaker, Michael E., Stanley J. Zarnoch, William A. Bechtold, David J. Latelle, William G. Burkman y Susan M. Cox. Crown-condition classification: a guide to data collection and analysis. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2007. http://dx.doi.org/10.2737/srs-gtr-102.
Texto completoDrury, J., S. Arias, T. Au-Yeung, D. Barr, L. Bell, T. Butler, H. Carter et al. Public behaviour in response to perceived hostile threats: an evidence base and guide for practitioners and policymakers. University of Sussex, 2023. http://dx.doi.org/10.20919/vjvt7448.
Texto completoAnilkumar, Rahul, Benjamin Melone, Michael Patsula, Christopher Tran, Christopher Wang, Kevin Dick, Hoda Khalil y G. A. Wainer. Canadian jobs amid a pandemic : examining the relationship between professional industry and salary to regional key performance indicators. Department of Systems and Computer Engineering, Carleton University, junio de 2022. http://dx.doi.org/10.22215/dsce/220608.
Texto completoRandolph, KaDonna C. Descriptive statistics of tree crown condition in the Southern United States and impacts on data analysis and interpretation. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2006. http://dx.doi.org/10.2737/srs-gtr-94.
Texto completoRandolph, KaDonna C. Descriptive statistics of tree crown condition in the Southern United States and impacts on data analysis and interpretation. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2006. http://dx.doi.org/10.2737/srs-gtr-94.
Texto completoChen, Li, Yu Ji, QiPeng Wang y Peng Chen. Effects of traditional Chinese exercise on the treatment of COVID-19: a protocol for a systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, enero de 2022. http://dx.doi.org/10.37766/inplasy2022.1.0089.
Texto completoArce, Eliécer y Edgar A. Robles. Fiscal Rules and the Behavior of Public Investment in Costa Rica and Panama: Towards Growth-Friendly Fiscal Policy? Inter-American Development Bank, marzo de 2021. http://dx.doi.org/10.18235/0003071.
Texto completoLu, Tianjun, Jian-yu Ke, Fynnwin Prager y Jose N. Martinez. “TELE-commuting” During the COVID-19 Pandemic and Beyond: Unveiling State-wide Patterns and Trends of Telecommuting in Relation to Transportation, Employment, Land Use, and Emissions in Calif. Mineta Transportation Institute, agosto de 2022. http://dx.doi.org/10.31979/mti.2022.2147.
Texto completoRon, Eliora y Eugene Eugene Nester. Global functional genomics of plant cell transformation by agrobacterium. United States Department of Agriculture, marzo de 2009. http://dx.doi.org/10.32747/2009.7695860.bard.
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