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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 4, APRIL 2017

Video Motion Analysis Techniques: A Comparative Study

Samidha Vengurlekar, Dipti Jadhav

DOI: 10.17148/IJARCCE.2017.6450

Abstract: Video analysis gives the detailed information about moving objects from the video. It is of great importance in the fields of sports, collision detection on road and rail routes, speed and acceleration calculation and many other fields. In this paper, we have compared four systems based on different algorithms and applied for different domains. First technique is for basketball video analysis, where semantic event extraction, slow motion replay detection methods have been introduced. Second, fire and smoke detection algorithm has been introduced. Third, the system uses surveillance cameras to detect the traffic state. Fourth, obstacle detection based railroad collision warning system. All these systems are diverse in nature with different application areas. The comparison showed that the system for sports have gained highest accuracy of all the other systems.



Keywords: Sports video analysis, fire and smoke detection, railroad obstacle detection, traffic state detection.

How to Cite:

[1] Samidha Vengurlekar, Dipti Jadhav, “Video Motion Analysis Techniques: A Comparative Study,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6450