Article ID Journal Published Year Pages File Type
525606 Computer Vision and Image Understanding 2015 21 Pages PDF
Abstract

•We propose a survey of optical flow estimation focusing on recent developments.•We adopt a classification approach organizing methods in a comprehensive framework.•The paper is conceived as a tutorial introducing and explaining the main concepts.

Optical flow estimation is one of the oldest and still most active research domains in computer vision. In 35 years, many methodological concepts have been introduced and have progressively improved performances, while opening the way to new challenges. In the last decade, the growing interest in evaluation benchmarks has stimulated a great amount of work. In this paper, we propose a survey of optical flow estimation classifying the main principles elaborated during this evolution, with a particular concern given to recent developments. It is conceived as a tutorial organizing in a comprehensive framework current approaches and practices. We give insights on the motivations, interests and limitations of modeling and optimization techniques, and we highlight similarities between methods to allow for a clear understanding of their behavior.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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