RFDM- An Efficient Method for Video Tracking
Karanam Sunil Kumar1, N P Kavya2
1Karanam Sunil Kumar, Department of CSE, RNS Institute of Technology, Bengaluru (Karnataka), India.
2Dr. N P Kavya, Department of CSE, RNS Institute of Technology, Bengaluru (Karnataka), India.
Manuscript received on 05 December 2019 | Revised Manuscript received on 13 December 2019 | Manuscript Published on 31 December 2019 | PP: 448-454 | Volume-9 Issue-2S December 2019 | Retrieval Number: B11131292S19/2019©BEIESP | DOI: 10.35940/ijitee.B1113.1292S19
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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 a computer vision imperative task. Region-based, feature-based, deformable and model-based (RFDM) tracking algorithms are the four categories of Match-based video tracking type. This survey provides various techniques or methods to object detection, identification and recognition, more light on region-based tracking, dealing with occlusions and overlaps and insufficiencies in model-based tracking and contour model. Finally, various future studies have been recommended at the end of this paper.
Keywords: Object Tracking, Active Contour Models, Content Extraction and Filtering.
Scope of the Article: Encryption Methods and Tools