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	Lucas-Kanade Optical Flow	テンプレートマッチング
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	1980s
提唱者	Bruce Lucas and Takeo Kanade	Computer vision community
種類	Optical flow and tracking	Pattern matching and detection
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.	Lewis, J. P. (2004). Fast normalized cross-correlation. Vision Interface, 120–123.
別名	Lucas-Kanade method, Sparse optical flow	Correlation-based matching, Similarity matching
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.	Template matching is a straightforward technique for locating a known pattern (template) within a larger image. By sliding a template image across the target image and computing a similarity measure at each position, template matching identifies locations where the template appears. It is effective for simple object detection when templates are well-defined and appearance variation is limited.