23 citations · 38 across the 9 of their papers we have counts for
7 papers · 1 filter
Sidewalk Measurements from Satellite Images: Preliminary Findings
Maryam Hosseini, Iago B. Araujo, Hamed Yazdanpanah +4
Large-scale analysis of pedestrian infrastructures, particularly sidewalks, is critical to human-centric urban planning and design. Benefiting from the rich data set of planimetric…
A Structural Graph-Based Method for MRI Analysis
Larissa de O. Penteado, Mateus Riva, Roberto M. Cesar
The importance of imaging exams, such as Magnetic Resonance Imaging (MRI), for the diagnostic and follow-up of pediatric pathologies and the assessment of anatomical structures' de…
Identificação automática de pichação a partir de imagens urbanas
Eric K. Tokuda, Claudio T. Silva, Roberto M. Cesar-Jr
Graffiti tagging is a common issue in great cities an local authorities are on the move to combat it. The tagging map of a city can be a useful tool as it may help to clean-up high…
A new approach for pedestrian density estimation using moving sensors and computer vision
Eric K. Tokuda, Yitzchak Lockerman, Gabriel B. A. Ferreira +4
An understanding of pedestrian dynamics is indispensable for numerous urban applications including the design of transportation networks and planing for business development. Pedes…
A New Urban Objects Detection Framework Using Weakly Annotated Sets
Eric Keiji, Gabriel Ferreira, Claudio Silva +1
Urban informatics explore data science methods to address different urban issues intensively based on data. The large variety and quantity of data available should be explored but…
Object Detection Using Keygraphs
Marcelo Hashimoto, Roberto Marcondes Cesar Junior
We propose a new framework for object detection based on a generalization of the keypoint correspondence framework. This framework is based on replacing keypoints by keygraphs, i.e…