Mostrando 8 resultados de: 8
Filtros aplicados
Subtipo de publicación
Conference Object(8)
Publisher
2019 IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019 - Proceedings(3)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
Communications in Computer and Information Science(1)
Proceedings - 2019 45th Latin American Computing Conference, CLEI 2019(1)
Proceedings - Frontiers in Education Conference, FIE(1)
Área temáticas
Ciencias de la computación(4)
Física aplicada(3)
Funcionamiento de bibliotecas y archivos(2)
Escuelas y sus actividades; educación especial(1)
Ingeniería y operaciones afines(1)
Comparing SVM and SSD for classification of vehicles and pedestrians for edge computing
Conference ObjectAbstract: In the context of video processing, transmission to a remote server is not always possible nor suitaPalabras claves:Computer Vision, Convolutional neural network, Performance evaluation, Raspberry PI, Single Shot Detection, Support Vector MachineAutores:Andrés Hebkp_redia, Juan Gabriel Barros G.Fuentes:scopusComputer vision classifier and platform for automatic counting: More than cars
Conference ObjectAbstract: Data on urban mobility is traditionally obtained by polling or by people observing and reporting thePalabras claves:classification, Intensity Pyramid-based Histogram Oriented Gradients (IPHOG), Kalman filter, Measurement-Based Features (MBF), Object size characteristics, Sensor Observation Service (SOS), support vector machine (SVM)Autores:Barros M.J., Juan Gabriel Barros G., Torres F.Fuentes:googlescopusDescriptive Analytics Dashboard for an Inclusive Learning Environment
Conference ObjectAbstract: The educational community continuously seeks ways to improve the learner-centered learning process tPalabras claves:descriptive learning analytics, inclusion, Learning environmentAutores:Agbo F.J., Caussin-Torrez B., Jáuregui V.C., Juan Gabriel Barros G., Oyelere S.S., Regina Motz, Tenesaca J.B., Toivonen T.Fuentes:scopusFramework comparison of neural networks for automated counting of vehicles and pedestrians
Conference ObjectAbstract: This paper presents a comparison of three neural network frameworks used to make volumetric counts iPalabras claves:automatic counter, classification, convolutional neural networks, learning transfer, MOBILENET, Single Shot Detector, trackingAutores:Andrés Hebkp_redia, Fátima Farías, Galo Lalangui, Jessica Guerrero, Jorge Cordero, Juan Gabriel Barros G., Luis Barba-Guaman, Nancy Loja, Omar Ruiz-Vivanco, Wilmer Rivas AsanzaFuentes:scopusEdge vs. cloud computing: Where to do image processing for surveillance?
Conference ObjectAbstract: Surveillance applications require transmission of video flows to a high performance remote server orPalabras claves:automatic counter, Camera matrix, convolutional neural networks, Homography, image classification, Performance Analysis, SSD-MobileNetAutores:Andrés Hebkp_redia, Juan Gabriel Barros G.Fuentes:scopusPerformance analysis of a CNN counting application for fog and cloud computing
Conference ObjectAbstract: Data extraction from surveillance videos is an important subject, not only because of the amount ofPalabras claves:automatic counter, classification, CLOUD COMPUTING, convolutional neural networks, Performance AnalysisAutores:Andrés Hebkp_redia, Juan Gabriel Barros G., Nancy Loja, Wilmer Rivas AsanzaFuentes:scopusVideo processing inside embedded devices using SSD-Mobilenet to count mobility actors
Conference ObjectAbstract: The actual number of surveillance cameras and the different methods for counting vehicles originatePalabras claves:Computer Vision, MOBILENET, Raspberry PI, Single Shot Detection, Vision Processing UnitAutores:Andrés Hebkp_redia, Juan Gabriel Barros G.Fuentes:scopusSVM and SSD for Classification of Mobility Actors on the Edge
Conference ObjectAbstract: In the context of video processing, transmission to a remote server is not always possible nor suitaPalabras claves:Computer Vision, Convolutional neural network, Performance evaluation, Raspberry PI, Single Shot Detection, Support Vector MachineAutores:Andrés Hebkp_redia, Juan Gabriel Barros G.Fuentes:scopus