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StableFlow: A novel real-time method for digital video stabilization | IEEE Conference Publication | IEEE Xplore

StableFlow: A novel real-time method for digital video stabilization


Abstract:

Digital video stabilization is crucial in many applications such as object detection and tracking. It has been studied for decades yielding an extensive amount of literat...Show More

Abstract:

Digital video stabilization is crucial in many applications such as object detection and tracking. It has been studied for decades yielding an extensive amount of literature in the field, however, current approaches suffer from either being computationally expensive or under-performing in terms of visual quality . In this paper, we present StableFlow, a novel real-time method that was inspired by the mass-spring-damper physical model. In StableFlow, a video frame is modelled as a mass suspended in each direction by a critically dampened spring and damper which can be fine-tuned to adapt with different shaking patterns. The proposed method is tested on video sequences that have different types of shakiness and diverse video contents. The obtained results are then compared to current state-of-the-art stabilization algorithms including Youtube stabilization and it is found that the proposed method significantly outperforms other algorithms in terms of visual quality while performing in real time.
Date of Conference: 04-08 December 2016
Date Added to IEEE Xplore: 24 April 2017
ISBN Information:
Conference Location: Cancun, Mexico

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