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.
Implementation of optical-flow algorithm
Алгоритам за пресметување на Optical Flow во OpenCV
Examining Farneback and lucas-Kanade optical flows also testing MOG, MOG2, and GMG background subtraction approaches
Optical flow with OpenCV, NvidiaHWOpticalFlow, Machine Learning methods etc.
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