Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 13 Issue 5
Human Action Recognition for Outdoor Monitoring System
Panca Mudjirahardjo, Rahmadwati
10.7753/IJCATR1305.1006
keywords : human action recognition; outdoor environment; YOLO; VGG-16 model; LSTM
Action recognition is one of computer vision task that involves recognizing human actions in videos or images. The goal is to classify and categorize the actions being performed in the video or image into a predefined set of action classes. Human Action Recognition (HAR) is a challenging task that has various applications, such as intelligent video surveillance and human-computer interaction. In this paper we describe a method of HAR for outdoor monitoring system. For detection a person we utilize YOLO v.8. then from the sequential frames we extract a motion feature. We use pre-trained VGG-16 model for spatial feature extraction. Then, this feature vector is fed to action classifier.
@artical{p1352024ijcatr13051006,
Title = "Human Action Recognition for Outdoor Monitoring System",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "13",
Issue ="5",
Pages ="23 - 25",
Year = "2024",
Authors ="Panca Mudjirahardjo, Rahmadwati"}
The paper proposes a method of human action recognition at outdoor environment.
We use YOLO For human detection to distinguish with the other moving object.
We use VGG-16 model to extract feature and LSTM to classify the action.
In the experiment, a performance evaluation of the algorithm is carried out.