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dc.contributor.author | Rabia Batool, 01-244172-031 | |
dc.date.accessioned | 2024-06-11T08:23:23Z | |
dc.date.available | 2024-06-11T08:23:23Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://hdl.handle.net/123456789/17427 | |
dc.description | Supervised by Dr. Khawaja Qasim Maqbool | en_US |
dc.description.abstract | The thesis presents movement approximation strategies, movement models, highlight recognition methods, vigorous examining accord and for the most part the RAN-SAC procedure. Usage of the element focuses coordinating based adjustment calculation was finished utilizing the MATLAB stage and applied to the video with jitter. The quality improvement in the video sequences after stabilization are demonstrated by associating the mean of become stable and unprocessed unstable video. Results indicate that the stabilization of the video would improve PSNR, mean squared error (MSE), improved video quality in less computational time. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Electrical Engineering, Bahria University Engineering School Islamabad | en_US |
dc.relation.ispartofseries | MS(EE);T-2706 | |
dc.subject | Electrical Engineering | en_US |
dc.subject | Optical Flow | en_US |
dc.subject | Random Sample Consensus | en_US |
dc.title | Rolling Shutter Video Stabilization Using Feature Form Accelerated Segment Test | en_US |
dc.type | Thesis | en_US |