Colour Object Tracking on Embedded Platform using Open CV
Krutika A Veerapur1, Ganesh V. Bhat2
1Krutika A. Veerapur, PG Scholar, M. Tech Student, Department of Electronics Engineering, Visvesvaraiya Technological University, Canara Engineering College, Mangalore (Karnataka), India.
2Dr. Ganesh V Bhat, Professor, Department of Electronics and Communication Engineering, Visvesvaraiya Technological University, Canara Engineering College, Mangalore (Karnataka), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 1-3 | Volume-2 Issue-3, July 2013 | Retrieval Number: B0619052213/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Object tracking in real time is one of the most important topics in the field of computer Vision. Detection and tracking of moving objects in the video scenes is the first relevant step in the information extraction in many computer vision applications. This idea can be used for the surveillance purpose, video annotation, traffic monitoring, human-computer interaction, intelligent transportation, and robotics and also in the field of medical. In this paper, we are discussing color object tracking using OpenCV software on Eclipse platform and the implementation of the tracking system on the Pandaboard ES. CAMShift algorithm is used for object tracking which is based on Meanshift algorithm. The proposed approach is demonstrated for real-time multiple object tracking system.
Keywords: CAMShift Algorithm, Meanshift Algorithm, OpenCV, Pandaboard ES.
Scope of the Article: Algorithm Engineering