SIFT based Tracker

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.SIFT is a method to detect distinct, invariant image feature points, which easily … Continue reading

Lucas Kanade Tracker

I am working on a tracking algorithm based on Lucas-Kanade Method using Optical Flow. The Lucas–Kanade method is a widely used differential method for optical flow estimation developed by Bruce D. Lucas and Takeo Kanade. It assumes that the flow … Continue reading

Face Tracking with CAMShift using OpenCV/SimpleCV

CAMShift stands for Continuously Adaptive Mean Shift. It is the basis for the face-tracking algorithm in OpenCV. It combines the basic Mean Shift algorithm with an adaptive region-sizing step. The kernel is a simple step function applied to a skin-probability … Continue reading

Tracking in OpenTLD aka Predator

As my Google Summer of Code 2012 project, I have to port OpenTLD to python using OpenCV and SimpleCV. OpenTLD a.k.a. Predator was first made by Zdenek Kalal in MATLAB. OpenTLD. It is one of the most reliable algorithms to … Continue reading