KUET Institutional Repository

Multi-Mask Based Stabilization of Turbulence Degraded Videos Containing Moving Objects

Show simple item record

dc.contributor.advisor Halder, Dr. Kalyan Kumar
dc.contributor.author Ray, Bhabesh
dc.date.accessioned 2020-02-20T05:42:23Z
dc.date.available 2020-02-20T05:42:23Z
dc.date.copyright 2019
dc.date.issued 2019-11
dc.identifier.other ID 1603554
dc.identifier.uri http://hdl.handle.net/20.500.12228/822
dc.description This thesis is submitted to the Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Electrical and Electronic Engineering, November 2019. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references (pages 54-56).
dc.description.abstract Stabilizing videos and detecting moving objects are important tasks in many computer vision applications through it becomes challenging because of the presence of atmospheric turbulence that causes random pixel shifting and blurring of the videos. Because of random change in magnitude and direction of hot air and winds present in the atmosphere, the refractive index of the medium changes nonuniformly. This cause deformation of pixels and makes the tracking system confused while detecting moving objects. This effect becomes more severe with the increase of imaging distance. This thesis proposes an improved method for correcting geometrical distortions of videos degraded by atmospheric turbulence while keeping moving objects unaltered. In this method, by taking the median of input frames, the background frame is estimated and three different techniques are used to generate three different masks. Then, by combining all three masks, a more accurate mask is generated. This refined mask is employed to properly detect the moving objects, and finally combining with the background a stabilized video output is obtained. Performance of this method is tested by applying it on different real-world datasets. A comparison with an existing method shows that the proposed method gives better moving objects detection and improved stabilization of distorted videos. en_US
dc.description.statementofresponsibility Bhabesh Ray
dc.format.extent 60 pages
dc.language.iso en_US en_US
dc.publisher Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh en_US
dc.rights Khulna University of Engineering & Technology (KUET) thesis/dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Video Stabilization en_US
dc.subject Atmospheric Turbulence en_US
dc.subject Real-World Videos en_US
dc.subject Moving Objects en_US
dc.title Multi-Mask Based Stabilization of Turbulence Degraded Videos Containing Moving Objects en_US
dc.type Thesis en_US
dc.description.degree Master of Science in Electrical and Electronic Engineering
dc.contributor.department Department of Electrical and Electronic Engineering


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search KUET IR


Advanced Search

Browse

My Account

Statistics