Integrating computer vision and complex networks for urban analysis

• Grant number: 19/01077-3
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: August 01, 2019
• End date: October 18, 2023
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Luciano da Fontoura Costa
• Grantee: Eric Keiji Tokuda
• Host Institution: Instituto de Física de São Carlos (IFSC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated research grant: 15/22308-2 - Intermediate representations in Computational Science for knowledge discovery, AP.TEM
• Associated scholarship(s): 21/14310-8 - Community detection and diffusion on complex networks, BE.EP.PD

Abstract

Nowadays, different types of data on cities are massively and decentrally produced, given improved technologies and reduced cost of image acquisition sensors. Two approaches are frequent in the use of visual data as a source of information about cities. In the first case, computer vision techniques are used and characteristic analyzes extracted from images are performed. In the second case, numerical or categorical data are used and these are modeled by complex networks. In the first approach, we have less physical understanding of the phenomena and, second, we do not take advantage of the myriad of visual data available. In this project, we propose the use of visual data from different sources and scales for the extraction of knowledge about the cities. In particular, we will use ground-level imagery such as from monitoring cameras, and from mobile phones and from remote sensing to model complex systems in an attempt to increase the understanding of urban problems such as mobility, crime and urbanization. Effective methods of computer vision, including methods based on deep learning, will be used in conjunction with complex network modeling techniques for knowledge extraction. The candidate plans to submit a BEPE plan to a center of excellence in complex network research.

Scientific publications

(9)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

TOKUDA, ERIC K.; DE ARRUDA, HENRIQUE F.; COMIN, CESAR H.; JR, ROBERTO M. CESAR; SILVA, CLAUDIO T.; COSTA, LUCIANO DA F.. Spatial distribution of graffiti types: a complex network approach. European Physical Journal B, v. 94, n. 9, SEP 2021. (19/01077-3, 19/16223-5, 18/09125-4, 15/22308-2, 18/10489-0)

DOMINGUESE, GUILHERME S.; TOKUDA, ERIC K.; COSTA, LUCIANO DA F.. Identification of city motifs: a method based on modularity and similarity between hierarchical features of urban networks. JOURNAL OF PHYSICS-COMPLEXITY, v. 3, n. 4, p. 24-pg., 2022-12-01. (19/01077-3)

LAVI, BAHRAM; TOKUDA, ERIC K.; MORENO-VERA, FELIPE; NONATO, LUIS GUSTAVO; SILVA, CLAUDIO T.; POCO, JORGE; FARINELLA, GM; RADEVA, P; BOUATOUCH, K. 17K-Graffiti: Spatial and Crime Data Assessments in Sao Paulo City. PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISAPP), VOL 4, v. N/A, p. 8-pg., 2022-01-01. (19/01077-3, 15/22308-2, 13/07375-0)

HOSSEINI, MARYAM; SEVTSUK, ANDRES; MIRANDA, FABIO; CESAR JR, ROBERTO M.; SILVA, CLAUDIO T.. Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, v. 101, p. 13-pg., 2023-02-22. (19/01077-3, 15/22308-2)

COSTA, LUCIANO DA F.; TOKUDA, ERIC K.. A similarity approach to cities and features. European Physical Journal B, v. 95, n. 9, p. 14-pg., 2022-09-01. (15/22308-2, 19/01077-3)

TOKUDA, ERIC K.; COMIN, CESAR H.; COSTA, LUCIANO DA F.. Impact of the topology of urban streets on mobility optimization. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, v. 2022, n. 10, p. 20-pg., 2022-10-01. (18/09125-4, 21/12354-8, 19/01077-3, 15/22308-2)

TOKUDA, ERIC K.; COMIN, CESAR H.; COSTA, LUCIANO DA F.. Revisiting agglomerative clustering. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 585, JAN 1 2022. (19/01077-3, 15/22308-2, 18/09125-4)

TOKUDA, ERIC K.; DE ARRUDA, HENRIQUE F.; DOMINGUES, GUILHERME S.; COSTA, LUCIANO DA F.; SHIBATA, FLORENCE AS; CESAR-JR, ROBERTO M.; COMIN, CESAR H.. Estimating the effects of urban green regions in terms of diffusion. ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, v. N/A, p. 16-pg., 2022-10-05. (15/22308-2, 18/09125-4, 18/10489-0, 19/01077-3)

VENTURA, PAULO C.; TOKUDA, ERIC K.; COSTA, LUCIANO DA F.; RODRIGUES, FRANCISCO A.. A Markov chain for metapopulations of small sizes with attraction landscape. CHAOS SOLITONS & FRACTALS, v. 167, p. 8-pg., 2023-01-07. (19/01077-3, 19/23293-0, 15/22308-2, 16/24555-0)