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
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
Kalman Filter is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes the mean of the squared error. It uses a series of measurements observed … Continue reading
GSoC 2012 Mid-Term evaluations are over and I passed. As usual we had a meeting on Wednesday 11:30 am EST on IRC where I and Kat discussed the tracking scenario of SimpleCV and how to implement different tracking algorithms with … Continue reading
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
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
Work in the first two weeks of my Google Summer of Code had been quite slow. I couldn’t find much time as I was busy with travel and some college stuff. I have finished making a Median Flow Tracker for … Continue reading
