Optical Flow Transfer
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Updated
May 30, 2026 - Python
Optical Flow Transfer
Dense optical flow detection using OpenCV's Gunnar Farneback’s algorithm. An example is included: taking a video showing a crowd in movement, the people movement can be described with a set of vectors.
Medical img/video processing: optical flow (Farneback, Lucas-Kanade, DL), CBIR (SIFT/ORB/CNN embeddings), object detection and Dash interactivity
OpenCV demonstrations of selected algorithms related to motion tracking: (1) mean shift, (2) CAMSHIFT, (3) iterative Lucas-Kanade algorithm with pyramids, and (4) Farnebäck's algorithm
Classical computer vision for obstacle-awareness in FPV drone video
This repository contains the code and analysis for my Bachelor thesis in Medical Physics. The project focuses on quantifying tissue growth using time-lapse microscopy and optical flow algorithms (Farnebäck). Heatmaps, divergence fields, and motion vectors are used to visualize and interpret cellular behavior over time.
Алгоритам за пресметување на Optical Flow во OpenCV
Examining Farneback and lucas-Kanade optical flows also testing MOG, MOG2, and GMG background subtraction approaches
Implementation of optical-flow algorithm
Optical flow with OpenCV, NvidiaHWOpticalFlow, Machine Learning methods etc.
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