Browsing by Subject "Convolution neural network"
Now showing items 1-4 of 4
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A Scene-to-Speech Mobile based Application: Multiple Trained Models Approach
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)The concept of Scene-to-Speech (STS) is to recognize elements in a captured image or a video clip to speak loudly an informative textual content that describes the scene. The contemporary progression in convolution neural ... -
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
( Springer Verlag , 2018 , Conference Paper)With multiple crowd gatherings of millions of people every year in events ranging from pilgrimages to protests, concerts to marathons, and festivals to funerals; visual crowd analysis is emerging as a new frontier in ... -
Efficiency validation of one dimensional convolutional neural networks for structural damage detection using a SHM benchmark data
( International Institute of Acoustics and Vibration, IIAV , 2018 , Conference Paper)In this paper, a novel one dimensional convolution neural network (1D-CNN) based structural damage assessment technique is validated with a benchmark study published by IASC-ASCE Structural Health Monitoring Task Group in ... -
Mhad: Multi-human action dataset
( Springer , 2020 , Conference Paper)This paper presents a framework for a multi-action recognition method. In this framework, we introduce a new approach to detect and recognize the action of several persons within one scene. Also, considering the scarcity ...