Robust Visual Object Tracking Via Fast Gabor Approximation
K. Bhuvaneshwari1, D. Akila2, P. Rajesh3
1K. Bhuvaneshwari, M.Phil, Research Scholar, Department of Computer Science, VELS Institute of Science, Technology & Advanced Studies, Chennai (Tamil Nadu), India.
2Dr. D. Akila, Associate Professor, Department of Information Technology, School of Computing Sciences, VELS Institute of Science, Technology & Advanced Studies, Chennai (Tamil Nadu), India.
3P. Rajesh, Assistant Professor, Department of Information Technology, School of Computing Sciences, VELS Institute of Science, Technology & Advanced Studies, Chennai (Tamil Nadu), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 25 December 2018 | Manuscript Published on 24 January 2019 | PP: 19-22 | Volume-7 Issue-4S2 December 2018 | Retrieval Number: Es2031017519/19©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: Visual Object Tracking is the process of finding a moving object (or multiple objects) over time using a camera. It has a variety of uses, some of which are: human-computer interaction, security and surveillance, video communication and compression, traffic control. Video tracking can be a time consuming process due to the huge amount of data in video. The main aim of object tracking is to estimate the states of the target in image sequences. Visual object tracking is challenging due to image variations caused by various factors, such as object deformation, scal echange, illumination change and occlusion. To overcome these challenges, windowing technique is applied in the proposed work.It is used to remove the noise in the image and gives the exact image. Experimental results are done for various sequences in the video and it is analysed the windowing technique is robust to partial occlusions and variations of illumination and pose, resistent to nearby distracters. Also,it performs favorably against several state-of-the-art algorithms.
Keywords: (Or Multiple Objects) Over Time Using A Camera. to Overcome These Challenges.
Scope of the Article: Visual Analytics