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논문 기본 정보

자료유형
학술저널
저자정보
Yeonseung Choo (Chung-Ang University) Jinbeum Jang (Chung-Ang University) Joonki Paik (Chung-Ang University)
저널정보
대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.8 No.6
발행연도
2019.12
수록면
456 - 464 (9page)
DOI
10.5573/IEIESPC.2019.8.6.456

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초록· 키워드

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Video registration is a technique that obtains pairs of frames showing the same scene to synchronize two videos. This paper presents a video registration algorithm based on scene mapping using frame similarity measurement and feature point tracking. The proposed algorithm consists of four steps: i) frame-to-frame matching based on similarity measurement to set the start frame, ii) feature tracking using feature points of the start frame to obtain a candidate matching scene, iii) end-frame matching for scene mapping, and iv) synchronization of two videos using a linear equation. In the proposed algorithm, frame-to-frame matching is performed using traditional feature detection and matching. Additionally, the proposed algorithm measures the similarity between frames to register videos with the most similar structural information. Feature point tracking is performed to track and collect similar structures in a candidate scene. We demonstrate that the proposed algorithm can synchronize frames from registered videos for some experiments. Therefore, the proposed algorithm can be applied to various areas.

목차

Abstract
1. Introduction
2. Problem Statement
3. Frame Similarity Measurement
4. Feature Point Tracking
5. Video Registration Algorithm
6. Experimental Result
7. Conclusion
References

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