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A Multi-Frame Optical Flow Spot Tracker

Stationary Motion Estimation

Accurate and robust spot tracking is a necessary tool for quantitative motion analysis in fluorescence microscopy images. In this work, we exploits the underlying stationary motion in biological systems, e.g. the movement of crowds, bacteria swarming and cyclosis in plant cells, and then propose a multi-frame optical flow based tracker. We obtain the stationary motion by adapting a recent optical flow algorithm that relates one image to another locally using an all-pass filter. We perform this operation over all the image frames simultaneously and estimate a single, stationary optical flow. We compare the proposed tracker with two existing techniques and show that our approach is more robust to high noise and varying structure. In addition, we also show initial experiments on real microscopy images.

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Paper Details

Christopher Gilliam, Thierry Blu
Submitted On:
23 February 2016 - 1:38pm
Short Link:
Presenter's Name:
Jizhou Li, Christopher Gilliam and Thierry Blu

Document Files




[1] Christopher Gilliam, Thierry Blu, "A Multi-Frame Optical Flow Spot Tracker", IEEE SigPort, 2015. [Online]. Available: Accessed: Apr. 25, 2017.
url = {},
author = {Christopher Gilliam; Thierry Blu },
publisher = {IEEE SigPort},
title = {A Multi-Frame Optical Flow Spot Tracker},
year = {2015} }
T1 - A Multi-Frame Optical Flow Spot Tracker
AU - Christopher Gilliam; Thierry Blu
PY - 2015
PB - IEEE SigPort
UR -
ER -
Christopher Gilliam, Thierry Blu. (2015). A Multi-Frame Optical Flow Spot Tracker. IEEE SigPort.
Christopher Gilliam, Thierry Blu, 2015. A Multi-Frame Optical Flow Spot Tracker. Available at:
Christopher Gilliam, Thierry Blu. (2015). "A Multi-Frame Optical Flow Spot Tracker." Web.
1. Christopher Gilliam, Thierry Blu. A Multi-Frame Optical Flow Spot Tracker [Internet]. IEEE SigPort; 2015. Available from :