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XZ-YAN / KLT-Feature-Tracking

A Python implementation of the Kanade–Lucas–Tomasi (KLT) feature tracker

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KLT-Feature-Tracking

Getting Started

Dependency

  • OpenCV
  • numpy
  • scipy
  • scikit-image

Usage

Run objectTracking.py to evaluate.

Method

Step1 Generate Feature Points

feature detection

Step2 Estimate Direction of Motion

optical flow

Step3 Estimate and Apply Geometric Transform

affine transformation

Reject outliers by thresholing.

About

A Python implementation of the Kanade–Lucas–Tomasi (KLT) feature tracker

Languages

Language:Python 100.0%