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並列摘要


In this paper, we develop two methods for estimating optical flow across multiframes in an image sequence. The rationale of our proposed methods is based on integrating temporal information from the reference image and its previous and next several images. The difference between the two methods lies mainly on the modeling in utilizing multiple images. The proposed methods can be applied to each point independently, and hence is suitable for many image-based applications. Experiments were conducted on various image sequences and the results show that using multiple frames can indeed reduce the estimation error significantly, especially at those points that possess good features.

被引用紀錄


蔡文耀(2012)。使用熱像儀做夜間跌倒偵測〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-1903201314434766
陳厚安(2012)。自然場景跑馬燈偵測與完整文句重構〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-1903201314455938
廖文晧(2014)。自然場景中手持裝置的跑馬燈偵測及文句重構〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0412201512011631

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