Real-Time Object Tracking Using Colour Feature
Shubham Srivastava1, Pratibha Singh2
1Shubham Srivastava, M.E, Department of Digital Instrumentation, Institute of Engineering and Technology, D.A.V.V Indore (M.P), India.
2Pratibha Singh, M.E, Department of Digital Instrumentation, Institute of Engineering and Technology, D.A.V.V Indore (M.P), India.
Manuscript received on 11 January 2014 | Revised Manuscript received on 20 January 2014 | Manuscript Published on 30 January 2014 | PP: 56-59 | Volume-3 Issue-8, January 2014 | Retrieval Number: H1442013814/14©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: Video Tracking is the process of locating a moving object over time using a camera. The objective of video tracking is to associate target objects in consecutive video frames. The association can be especially difficult when the objects are moving fast relative to the frame rate. Another situation that increases the complexity of the problem is when the tracked object changes orientation over time. For these situations video tracking systems usually employ a motion model which describes how the image of the target might change for different possible motions of the object. In this paper an algorithm is proposed to track the real time moving objects in different frames of a video.
Keywords: Shape Features, Object Tracking, Feature Extraction.
Scope of the Article: Multimedia and Real-Time Communication