Human action recognition based on bag-of-words
Other Title(s)
تمييز أفعال البشر استنادا على حقيبة الكلمات
Joint Authors
Abd al-Amir, Riyad Sahib
al-Tai, Muhammad Sahib Mahdi
Source
Issue
Vol. 61, Issue 5 (31 May. 2020), pp.1202-1214, 13 p.
Publisher
University of Baghdad College of Science
Publication Date
2020-05-31
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Human action recognition has gained popularity because of its wide applicability, such as in patient monitoring systems, surveillance systems, and a wide diversity of systems that contain interactions between people and electrical devices, including human computer interfaces.
The proposed method includes sequential stages of object segmentation, feature extraction, action detection and then action recognition.
Effective results of human actions using different features of unconstrained videos was a challenging task due to camera motion, cluttered background, occlusions, complexity of human movements, and variety of same actions performed by distinct subjects.
Thus, the proposed method overcomes such problems by using the fusion of features concept for the development of a powerful human action descriptor.
This descriptor is modified to create a visual word vocabulary (or codebook) which yields a Bag-of-Words representation.
The True Positive Rate (TPR) and False Positive Rate (FPR) measures gave a true indication about the proposed HAR system.
The computed Accuracy (Ar) and the Error (misclassification) Rate (Er) reveal the effectiveness of the system with the used dataset.
American Psychological Association (APA)
Abd al-Amir, Riyad Sahib& al-Tai, Muhammad Sahib Mahdi. 2020. Human action recognition based on bag-of-words. Iraqi Journal of Science،Vol. 61, no. 5, pp.1202-1214.
https://search.emarefa.net/detail/BIM-970228
Modern Language Association (MLA)
Abd al-Amir, Riyad Sahib& al-Tai, Muhammad Sahib Mahdi. Human action recognition based on bag-of-words. Iraqi Journal of Science Vol. 61, no. 5 (2020), pp.1202-1214.
https://search.emarefa.net/detail/BIM-970228
American Medical Association (AMA)
Abd al-Amir, Riyad Sahib& al-Tai, Muhammad Sahib Mahdi. Human action recognition based on bag-of-words. Iraqi Journal of Science. 2020. Vol. 61, no. 5, pp.1202-1214.
https://search.emarefa.net/detail/BIM-970228
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1214
Record ID
BIM-970228