SmartSORT: an MLP-based method for tracking multiple objects in real-time

Autor: Hendrik T. Macedo, Leonardo Nogueira Matos, André C. P. L. F. de Carvalho, Bruno O. Prado, Michel C. Meneses

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

With the recent advances in the object detection research field, tracking-by-detection has become the leading paradigm adopted by multi-object tracking algorithms. By extracting different features from detected objects, those algorithms can estimate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f6d71dda8780986bacbeedd98732656
https://doi.org/10.1007/s11554-020-01054-y

Frequency Maps as Expert Instructions to lessen Data Dependency on Real-time Traffic Light Recognition

Autor: Leonardo Nogueira Matos, T.S. Almeida, Bruno O. Prado, Hendrik T. Macedo, Kalil Araujo Bispo

Publikováno v: 2020 International Conference on Computational Science and Computational Intelligence (CSCI).

Research on Traffic Light Recognition (TLR) has grown in recent years, primarily driven by the growing interest in autonomous vehicles development. Machine Learning algorithms have been widely used to that purpose. Mainstream approaches, however, req

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1278b56a52b48d8864af68494e9bbea1
https://doi.org/10.1109/csci51800.2020.00273

Open Data Extraction, Transformation, and Loading as a Tool for Supporting 2018 Elections' Voters

Autor: Hendrik T. Macedo, Gilton José Ferreira da Silva, Leonardo Nogueira Matos, Bruno O. Prado, Ariel F. Rodrigues, Nélson Rangel Santos Passos

Publikováno v: SBSI

Democracy is a political regime based on the majority's choice. However, people can only make conscious decisions if they have access to high quality information. This paper aimed to join data from different sources and to transform them in knowledge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::be2a7989822178f420c4df67c116d7e2
https://doi.org/10.1145/3330204.3330232

A Virtual Prototype Semihosting Approach for Early Simulation of Cyber-Physical Systems

Autor: Bruno O. Prado, Rafael Salomão da Silva, Kalil Araujo Bispo, Daniel Oliveira Dantas, Thiago Fontes, Gabriel Santana

Publikováno v: ISCC

An early design space exploration of Cyber-Physical Systems (CPS) is a challenging task due to multi-domain areas and tight interaction of computing systems (cyber) and environment actuation, communication and sensing (physical). The CPS designer mus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ac27870de96b5725c78fd299fbc8ffd7
https://doi.org/10.1109/iscc.2018.8538621

X9: An Obfuscation Resilient Approach for Source Code Plagiarism Detection in Virtual Learning Environments

Autor: Raul Andrade, Bruno O. Prado, Kalil Araujo Bispo

Publikováno v: ICEIS (1)
Scopus-Elsevier

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87aace0976cb894e326898b55397408d
https://doi.org/10.5220/0006668705170524