A Robust Algorithm for Real Time Tracking With Optical Flow
C. Karthika Pragadeeswari1, G.Yamuna2, G. Yasmin Beham3
1C.Karthika Pragadeeswari*, Assistant Professor, Department of ECE, Alagappa Chettiar Government college of Engineering and Technology, Karaikudi, India.
2G.Yamuna, Professor and Head, Department of ECE, Annamalai University, Annamalainagar, India.
3G.Yasmin Beham, PG Scholar, Department of ECE, Alagappa Chettiar Government college of Engineering and Technology, Karaikudi India.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 887-892 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4419119119/2019©BEIESP | DOI: 10.35940/ijitee.A4419.119119
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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 is a troublesome undertaking and significant extent in data processor perception and image handling community. Some of the applications are protection surveillance, traffic monitoring on roads, offense detection and medical imaging. In this paper a recent technique for tracking of moving object is intended. Optical flow information authorizes us to know the displacement and speed of objects personate in a scene. Apply optical flow to the image gives flow vectors of the points to distinguishing the moving aspects. Optical flow is accomplished by Lucas canade algorithm. This algorithm is superior to other algorithms. The outcomes reveals that the intend algorithm is efficient and accurate object tracking method. This paper depicts a smoothing algorithm to track the moving object of both single and multiple objects in real time. The main issue of high computational time is greatly reduced in this proposed work.
Keywords: Computer Vision, Lucas Canade Algorithm, Object Tracking Optical Flow Technique.
Scope of the Article: Algorithm Engineering