REU Report I

REU REPORT IAlla PetrakovaUCF

MATERIAL COVERED

MATLAB Derivatives, Filters, Thresholding, Equalization, etc. Correlation, Convolution Edge Detection (Sobel, Laplacian of Gaussian, Canny) Harris Corner Detector SIFT Adaboost, face detection SVM Optical Flow Bag of Features

EDGE DETECTION - SOBEL

GAUSSIAN

EDGE DETECTION - SOBEL

LAPLACIAN OF GAUSSIAN

CANNY

HARRIS CORNER DETECTOR

HARRIS CORNER DETECTOR

SIFT – DENSE SAMPLING

SIFT – DESCRIPTORS INCLUDED

OPTICAL FLOWCOMPARING OUTPUTS – CE LIU

OPTICAL FLOW

Window size = 70

Window size = 40

SVM & BAG OF WORDS

SVM One of the biggest challenges Tried with sift, dense sift, scaled data Stubbornly stuck on 53% accuracy

Bag Of Words 47% to 53% accuracy

Possible solution: “A Practical Guide to Support Vector Classification Chih-Wei Hsu, Chih-

Chung Chang, and Chih-Jen Lin “ http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf

RESEARCH PROJECTS

“Trajectory Clustering: A Motion Pattern approach” by Mahdi M. Kalayeh Pattern recognition Analysing effects of applying various similarity measures Probabilistic Predictive Modelling

“Clustering in High Dimensional Data” by Gonzalo Vaca-Castano

“Cell Tracking and Lineage Construction” with Sarfaraz Hussein