This collection of MATLAB tools is intended to help visualise the `visual words' generated for video data during the popular bag of visual words pipeline.
(22-07-2014)
How about redefining the Euclidean distance between two points on a line to be the Euclidean distance between the points after mapping them to a circle? Strange things are about to happen..
(20-09-2014)
[page - code (MATLAB)]
Soving SVM in primal with stochastic gradient descent has gained popularity for the huge speed gains in solving large scale classification problems. Attached is a simple code-tutorial on how these various methods work on a toy problem.
(06-07-2013)
[page - code (MATLAB)]
When comsidering the SVM in primal form, the aim is to find
the solution w* that minimizes:
minimize 1/2||w||.^2 s.t y(i)(w'x(i) + b) >= 1, i=1...m
The proliferation of pictorial structures in vision got a major boost by P. Felzenszwalb's linear-time algorithm for computing euclidean-distance transforms. This transformation, when applied to detection, spreads high scores to nearby locations, taking into account the distance from the peak.
To see the difference this O(n) algorithm makes in practice compared to a naive implementation run the attached matlab script. As a friend Paul Sturgess said: "this is the difference between fast and scalable!!"
(07-06-2013)
[page - code (MATLAB)]
This tutorial is intended to be a quick & simple introduction to the popular BoW-SVM 1-vs-all pipeline in action recognition. The purpose is to illustrate and convey the main ideas practically and not to show state-of-the-art implementation details.
(21-06-2012)
[page - code (MATLAB)]
More..
(19-09-2014) How do various classification performance metrics compare? (MATLAB)
(26-07-2014) Create fast and periodic communication thread with shared buffer to slower main processing loop (C++11)
(31-05-2013) Testing python multiprocessing (Python)
Source Code
(27-07-2014) Ground plane segmentation and autonomous guidance (C/C++)
(2012) Fasthpe (C/C++)
Datasets