Volume 7 Number 4 (Aug. 2015)
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IJCEE 2015 Vol.7(4): 275-282 ISSN: 1793-8163
DOI: 10.17706/IJCEE.2015.7.4.275-282

Real-Time Automatic Selection of the Best Shot on Object in 4K Video Stream Based on Tracking Methods in Virtual Cropped Views

Dávid Cymbalák, Ondrej Kainz, František Jakab
Abstract—In this paper, a novel approach for real-time automatic object tracking from multiple cropped views using 4K video capturing device is presented. System itself is based on TLD object tracking algorithm. As a first ultra-high definition video and selected object tracking method is analyzed. Subsections of 4K video output from capturing device are utilized to create new, so called “virtual copped views”. The developed model was rudimentary implemented and tested in the laboratory conditions and it is expected to be used in the real conditions.

Index Terms—Object tracking, 4K video, live streaming, best shot, virtual cameras, multi-cameras systems.

The Department of Computers and Informatics, FEEI, Technical University of Košice, Letná 9, 042 00 Košice, Slovak Republic.

Cite:Dávid Cymbalák*, Ondrej Kainz, František Jakab, "Real-Time Automatic Selection of the Best Shot on Object in 4K Video Stream Based on Tracking Methods in Virtual Cropped Views," International Journal of Computer and Electrical Engineering vol. 7, no. 4, pp. 275-282, 2015.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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