Abstract
Users that use low-cost handheld cameras are untrained, and they suffer from intense handshakes and jitters to the videos taken. To acquire video sequences by removing these unavoidable jitters and handshakes, video stabilization algorithm is needed. This paper examined these pitfalls to enhance the accuracy of the images. Different techniques are used to protect the frames which are recorded which relies on the simple motion modules on different schemes. This work focuses on various new processes of video stabilization and offers background on existing methods. Paper successfully implemented a proposed algorithm to obtain a video sequence where jitter has effectively been frame to frame eliminated by using inbuilt mobile sensors. To produce a smoothened camera motion, adaptive filter algorithms are used and frame-to-frame jitter can be reduced using smoothing camera motion. The proposed application can be implemented on any android smartphone which having inbuilt accelerometer and gyroscope sensors.
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Shankarpure, M.R., Abin, D. (2021). Real-Time Frame-to-Frame Jitter Removing Video Stabilization Technique. In: Gao, XZ., Kumar, R., Srivastava, S., Soni, B.P. (eds) Applications of Artificial Intelligence in Engineering. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-4604-8_14
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DOI: https://doi.org/10.1007/978-981-33-4604-8_14
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