Realtime Action Recognition

Realtime Action Recognition
Author(s):
Siddhant Patil, Rutuj Gedam, Prayojita Urade, Vidish Worah, Dr. Rahila Shaikh
Keywords:
Deep Learning, Computer Vision, Action Recognition
Abstract
Real-time action recognition is the process of automatically identifying and classifying human actions in real-time video streams. This task involves detecting and analyzing human movements and activities, such as standing, sitting, and gestures, in a continuous stream of video frames. The goal of real-time action recognition is to enable machines to understand and interpret human actions as they occur, allowing for applications in various fields such as surveillance, human-computer interaction, sports analysis, and healthcare monitoring. To achieve real-time action recognition, advanced computer vision and machine learning techniques are typically employed. These techniques may include deep learning models, motion analysis algorithms ,feature extraction methods, and temporal modeling approaches. Overall, real-time action recognition plays a crucial role in enabling intelligent systems to interact with and respond to human actions in real-world environments
Article Details
Unique Paper ID: 164604 Publication Volume & Issue: Volume 10, Issue 12 Page(s): 1563 - 1566
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