390 citations · 500 across the 11 of their papers we have counts for
5 papers · 1 filter
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks
Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil +2
Recognizing human actions in untrimmed videos is an important challenging task. An effective 3D motion representation and a powerful learning model are two key factors influencing…
Motorcycle Classification in Urban Scenarios using Convolutional Neural Networks for Feature Extraction
Jorge E. Espinosa, Sergio A. Velastin, John W. Branch
This paper presents a motorcycle classification system for urban scenarios using Convolutional Neural Network (CNN). Significant results on image classification has been achieved u…
Motorcycle detection and classification in urban Scenarios using a model based on Faster R-CNN
Jorge E. Espinosa, Sergio A. Velastin, John W. Branch
This paper introduces a Deep Learning Convolutional Neural Network model based on Faster-RCNN for motorcycle detection and classification on urban environments. The model is evalua…
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks
Huy Hieu Pham, Louahdi Khoudour, Alain Crouzil +2
We propose a novel skeleton-based representation for 3D action recognition in videos using Deep Convolutional Neural Networks (D-CNNs). Two key issues have been addressed: First, h…
Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks
Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil +2
Automatic human action recognition is indispensable for almost artificial intelligent systems such as video surveillance, human-computer interfaces, video retrieval, etc. Despite a…