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Knowing where people live is a fundamental component of many decision making processes such as urban development, infectious disease containment, evacuation planning, risk management, conservation planning, and more. While bottom-up, survey…

Artificial Intelligence · Computer Science 2017-08-31 Caleb Robinson , Fred Hohman , Bistra Dilkina

In the last several years, remote sensing technology has opened up the possibility of performing large scale building detection from satellite imagery. Our work is some of the first to create population density maps from building detection…

Computer Vision and Pattern Recognition · Computer Science 2017-07-28 Amy Zhang , Xianming Liu , Andreas Gros , Tobias Tiecke

Millions of people worldwide are absent from their country's census. Accurate, current, and granular population metrics are critical to improving government allocation of resources, to measuring disease control, to responding to natural…

Computer Vision and Pattern Recognition · Computer Science 2019-05-08 Wenjie Hu , Jay Harshadbhai Patel , Zoe-Alanah Robert , Paul Novosad , Samuel Asher , Zhongyi Tang , Marshall Burke , David Lobell , Stefano Ermon

Humanitarian actions require accurate information to efficiently delegate support operations. Such information can be maps of building footprints, building functions, and population densities. While the access to this information is…

Computer Vision and Pattern Recognition · Computer Science 2021-07-30 Benjamin Kellenberger , John E. Vargas-Muñoz , Devis Tuia , Rodrigo C. Daudt , Konrad Schindler , Thao T-T Whelan , Brenda Ayo , Ferda Ofli , Muhammad Imran

Obtaining a dynamic population distribution is key to many decision-making processes such as urban planning, disaster management and most importantly helping the government to better allocate socio-technical supply. For the aspiration of…

Machine Learning · Computer Science 2022-11-11 Sugandha Doda , Yuanyuan Wang , Matthias Kahl , Eike Jens Hoffmann , Kim Ouan , Hannes Taubenböck , Xiao Xiang Zhu

More than one billion people live in slums around the world. In some developing countries, slum residents make up for more than half of the population and lack reliable sanitation services, clean water, electricity, other basic services.…

Computer Vision and Pattern Recognition · Computer Science 2018-11-21 Shishira R Maiya , Sudharshan Chandra Babu

Many areas of the world are without basic information on the socioeconomic well-being of the residing population due to limitations in existing data collection methods. Overhead images obtained remotely, such as from satellite or aircraft,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 Ethan Brewer , Giovani Valdrighi , Parikshit Solunke , Joao Rulff , Yurii Piadyk , Zhonghui Lv , Jorge Poco , Claudio Silva

We propose a generalizable framework for the population estimation of dense, informal settlements in low-income urban areas--so called 'slums'--using high-resolution satellite imagery. Precise population estimates are a crucial factor for…

Computers and Society · Computer Science 2020-09-18 Konstantin Klemmer , Godwin Yeboah , João Porto de Albuquerque , Stephen A Jarvis

Human settlements are the cause and consequence of most environmental and societal changes on Earth; however, their location and extent is still under debate. We provide here a new 10m resolution (0.32 arc sec) global map of human…

Building coverage statistics provide crucial insights into the urbanization, infrastructure, and poverty level of a region, facilitating efforts towards alleviating poverty, building sustainable cities, and allocating infrastructure…

Computer Vision and Pattern Recognition · Computer Science 2023-01-06 Enci Liu , Chenlin Meng , Matthew Kolodner , Eun Jee Sung , Sihang Chen , Marshall Burke , David Lobell , Stefano Ermon

With the launch of Carto2S series of satellites, high resolution images (0.6-1.0 meters) are acquired and available for use. High resolution Digital Elevation Model (DEM) with better accuracies can be generated using C2S multi-view and…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 Jai G Singla

Urban planning applications (energy audits, investment, etc.) require an understanding of built infrastructure and its environment, i.e., both low-level, physical features (amount of vegetation, building area and geometry etc.), as well as…

Computer Vision and Pattern Recognition · Computer Science 2017-09-15 Adrian Albert , Jasleen Kaur , Marta Gonzalez

An understanding of pedestrian dynamics is indispensable for numerous urban applications including the design of transportation networks and planing for business development. Pedestrian counting often requires utilizing manual or technical…

Computer Vision and Pattern Recognition · Computer Science 2021-10-12 Eric K. Tokuda , Yitzchak Lockerman , Gabriel B. A. Ferreira , Ethan Sorrelgreen , David Boyle , Roberto M. Cesar-Jr. , Claudio T. Silva

Dense crowd counting aims to predict thousands of human instances from an image, by calculating integrals of a density map over image pixels. Existing approaches mainly suffer from the extreme density variances. Such density pattern shift…

Computer Vision and Pattern Recognition · Computer Science 2019-08-09 Chenfeng Xu , Kai Qiu , Jianlong Fu , Song Bai , Yongchao Xu , Xiang Bai

The rapid development of remote sensing techniques provides rich, large-coverage, and high-temporal information of the ground, which can be coupled with the emerging deep learning approaches that enable latent features and hidden…

Computer Vision and Pattern Recognition · Computer Science 2021-03-04 Xiao Huang , Di Zhu , Fan Zhang , Tao Liu , Xiao Li , Lei Zou

Computer vision methods that quantify the perception of urban environment are increasingly being used to study the relationship between a city's physical appearance and the behavior and health of its residents. Yet, the throughput of…

Computer Vision and Pattern Recognition · Computer Science 2016-09-13 Abhimanyu Dubey , Nikhil Naik , Devi Parikh , Ramesh Raskar , César A. Hidalgo

Dynamic high resolution data on human population distribution is of great importance for a wide spectrum of activities and real-life applications, but is too difficult and expensive to obtain directly. Therefore, generating fine-scaled…

Computer Vision and Pattern Recognition · Computer Science 2018-11-29 Zefang Zong , Jie Feng , Kechun Liu , Hongzhi Shi , Yong Li

High-resolution human settlement maps provide detailed delineations of where people live and are vital for scientific and practical purposes, such as rapid disaster response, allocation of humanitarian resources, and international…

Social and Information Networks · Computer Science 2024-04-23 Vedran Sekara , Andrea Martini , Manuel Garcia-Herranz , Do-Hyung Kim

Crowd monitoring and analysis in mass events are highly important technologies to support the security of attending persons. Proposed methods based on terrestrial or airborne image/video data often fail in achieving sufficiently accurate…

Computer Vision and Pattern Recognition · Computer Science 2013-04-24 Roland Perko , Thomas Schnabel , Gerald Fritz , Alexander Almer , Lucas Paletta

The major Sustainable Development Goals (SDG) 2030, set by the United Nations Development Program (UNDP), include sustainable cities and communities, no poverty, and reduced inequalities. However, millions of people live in slums or…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Anjali Raj , Adway Mitra , Manjira Sinha
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