方法证据记录
Lucas-Kanade Optical Flow
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Lucas-Kanade Optical Flow Estimation
分类方法记录 · ml-model / computer-vision
- 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. · URL
- Bouguet, J. Y. (2001). Pyramidal implementation of the Lucas Kanade feature tracker. OpenCV Documentation. · URL
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