In this paper, we present hybrid motion features to promote action recognition in videos. The features are composed of two complementary components from ...
We show that by integrating local and global features, we get improved recognition rates on a variety of standard datasets. Keywords: Action recognition, Period ...
Jan 6, 2010 · In this paper, we present hybrid motion features to promote action recognition in videos. The features are composed of two complementary ...
In this paper, we present hybrid motion features to promote action recognition in videos. The features are composed of two complementary components from ...
Jul 6, 2020 · We propose a hybrid technique using background subtraction and HOG, followed by application of a deep neural network and skeletal modelling method.
Missing: Motion | Show results with:Motion
Oct 15, 2024 · This research aims to develop a robust system for recognizing five common human interactions, such as hugging, kicking, pushing, pointing, and no interaction, ...
Advanced Video Action Recognition using Hybrid models of ConvLSTM with 3DCNN Deep Learning Approach ...
In this paper, we propose a novel approach to video action recognition that integrates a modified and optimized 3D Convolutional Neural Network, ...
Oct 10, 2023 · We developed a novel hybrid deep learning model by combining a CNN, a bidirectional LSTM unit, and a fully connected layer for activity identification.
Apr 25, 2024 · This research presents a novel approach based on a hybrid deep learning model using 3DCNN, CONVLSTM, and LRCN for human action recognition to ...