This paper is published in Volume-7, Issue-3, 2021
Area
Computer Vision
Author
Akash Kumar, Varshini Shenoy, Puneet Tiwari
Org/Univ
New Horizon College of Engineering, Bengaluru, Karnataka, India
Pub. Date
24 May, 2021
Paper ID
V7I3-1445
Publisher
Keywords
Activity Recognition, Deep Learning, Training Dataset, ResNet, OpenCV.

Citationsacebook

IEEE
Akash Kumar, Varshini Shenoy, Puneet Tiwari. Human activity recognition system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Akash Kumar, Varshini Shenoy, Puneet Tiwari (2021). Human activity recognition system. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Akash Kumar, Varshini Shenoy, Puneet Tiwari. "Human activity recognition system." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

Understanding the activities of human from videos is demanding task in Computer Vision. Identifying the actions being accomplished by the human in the video sequence automatically and tagging their actions is the prime functionality of intelligent video systems. The goal of activity recognition is to identify the actions and objectives of one or more objects from a series of examination on the action of object and their environmental condition. The major applications of Human Activity Recognition vary from Content-based Video Analytics, Robotics, Human-Computer Interaction, Human fall detection, Ambient Intelligence, Visual Surveillance, Video Indexing etc. The Experimental Evaluation of various papers are observed efficiently with the various performance metrics like Precision, Recall, and Accuracy.
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