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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/22579
Title: Video Smoothening Using Features Matching
Authors: Andri G.
Singh R.K.
Kumar, Brijesh
Singh K.
Gupta A.K.
Khare S.
Dixit N.
Pant K.
Published in: Springer Proceedings in Physics
International Conference on Optics and Electro-optics, ICOL 2019
Abstract: Video recorded using hand held camera or mounted on any vibrating platform make unintentional and some intentional camera motion. Their unintentional hand motions cause certain video instability. The algorithm uses Global Motion Vector (GMV) array for auto-video stabilization using methodical Speeded Up Robust Features (SURF) technique. The algorithm auto detects the unstabilized features and compensates it using the GMV array. The efficiency of the proposed algorithm is calculated based on the experiments on different videos. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Citation: Springer Proceedings in Physics (2021), 258: 341-344
URI: https://doi.org/10.1007/978-981-15-9259-1_77
http://repository.iitr.ac.in/handle/123456789/22579
Issue Date: 2021
Publisher: Springer Science and Business Media Deutschland GmbH
Keywords: Global motion vector
SURF
Video processing
Video stabilization
ISBN: 9.78981E+12
ISSN: 9308989
Author Scopus IDs: 57222570618
57221127179
57192233979
Author Affiliations: Andri, G., ECE Department, MMMUT, Gorakhpur, UP, India
Singh, R.K., ECE Department, MMMUT, Gorakhpur, UP, India
Kumar, B., ECE Department, MMMUT, Gorakhpur, UP, India
Corresponding Author: Andri, G.; ECE Department, India; email: 2016041007@mmmut.ac.in
Appears in Collections:Conference Publications [ECE]

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