Video-based human action recognition is currently one of the most active research areas in computer vision. Various research studies indicate that the performance of action …
Video action recognition is one of the representative tasks for video understanding. Over the last decade, we have witnessed great advancements in video action recognition thanks to …
Human motion recognition is one of the most important branches of human-centered research activities. In recent years, motion recognition based on RGB-D data has attracted …
Analyzing videos of human actions involves understanding the temporal relationships among video frames. State-of-the-art action recognition approaches rely on traditional …
N Akhtar, U Ragavendran - Neural computing and applications, 2020 - Springer
The convolutional neural network architecture has different components like convolution and pooling. The pooling is crucial component placed after the convolution layer. It plays a vital …
CI Patel, D Labana, S Pandya, K Modi, H Ghayvat… - Sensors, 2020 - mdpi.com
Human Action Recognition (HAR) is the classification of an action performed by a human. The goal of this study was to recognize human actions in action video sequences. We …
W Du, Y Wang, Y Qiao - IEEE Transactions on Image …, 2017 - ieeexplore.ieee.org
Recent years have witnessed the popularity of using recurrent neural network (RNN) for action recognition in videos. However, videos are of high dimensionality and contain rich …
We explore a class of end-to-end learnable models wherein data processing nodes (or network layers) are defined in terms of desired behavior rather than an explicit forward …
Due to its capacity to gather vast, high-level data about human activity from wearable or stationary sensors, human activity recognition substantially impacts people's day-to-day …