Temporal tracking on videos with direction detection
Joint Authors
Johnson, Shajeena
Kadarkarai, Ramar
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 5 (30 Sep. 2018)7 p.
Publisher
Publication Date
2018-09-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Tracking is essentially a matching problem.
This paper proposes a tracking scheme for video objects on compressed domain.
This method mainly focuses on locating the object region and predicting (evolving) the detection of movement, which improves tracking precision.
Motion Vectors (MVs) are used for block matching.
At each frame, the decision of whether a particular block belongs to the object being tracked is made with the help of histogram matching.
During the process of matching and evolving the direction of movement, similarities of target region are compared to ensure that there is no overlapping and tracking performed in a right way.
Experiments using the proposed tracker on videos demonstrate that the method can reliably locate the object of interest effectively
American Psychological Association (APA)
Johnson, Shajeena& Kadarkarai, Ramar. 2018. Temporal tracking on videos with direction detection. The International Arab Journal of Information Technology،Vol. 15, no. 5.
https://search.emarefa.net/detail/BIM-839098
Modern Language Association (MLA)
Johnson, Shajeena& Kadarkarai, Ramar. Temporal tracking on videos with direction detection. The International Arab Journal of Information Technology Vol. 15, no. 5 (Sep. 2018).
https://search.emarefa.net/detail/BIM-839098
American Medical Association (AMA)
Johnson, Shajeena& Kadarkarai, Ramar. Temporal tracking on videos with direction detection. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 5.
https://search.emarefa.net/detail/BIM-839098
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-839098