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	Lucas-Kanade Optical Flow	ハリスコーナー検出
分野	コンピュータビジョン	コンピュータビジョン
系統	Machine learning	Machine learning
提唱年	1981	1988
提唱者	Bruce Lucas and Takeo Kanade	Chris Harris and Mike Stephens
種類	Optical flow and tracking	Interest point detector
原典	Lucas, B. D., & Kanade, T. (1981). An iterative image registration technique with an application to stereo vision. Proceedings of the Seventh International Joint Conference on Artificial Intelligence (IJCAI), 674–679.	Harris, C., & Stephens, M. (1988). A combined corner and edge detector. Alvey Vision Conference, 147–152.
別名	Lucas-Kanade method, Sparse optical flow	Harris Corner Detector, Harris-Stephens Detector, Plessey Operator
関連	5	5
概要	The Lucas-Kanade method, introduced by Bruce Lucas and Takeo Kanade in 1981, is a foundational technique for estimating optical flow—the apparent motion of objects in image sequences. By computing pixel-level motion vectors, the Lucas-Kanade algorithm tracks feature displacements between consecutive frames, enabling object tracking, motion estimation, and video analysis.	The Harris corner detector, introduced by Chris Harris and Mike Stephens in 1988, is a foundational method for identifying corners and interest points in digital images. Harris corners are points where two edges meet at a significant angle, making them stable and repeatable features for image analysis, matching, and 3D reconstruction.