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Tutorial 1:
Prof. Domingo Mery Director of Research and Innovation, School of Engineering, Universidad Católica de Chile, Chile

Balu: A Matlab Toolbox for computer vision, pattern recognition and image processing: Considerable research efforts in computer vision applied to several areas have been developed in the last years, however, they have been concentrated on using or developing tailored methods based on visual features that are able to solve a specific task. Nevertheless, today's computer capabilities are giving us new ways to solve complex computer vision problems. Now, we are able to extract, process and test in the same time more image features and classifiers than before. Balu, a general Matlab Toolbox for image processing, pattern recognition and computer vision, is able to design a computer vision system automatically, i.e., it finds -without human interaction- the features and the classifiers for a given application avoiding the classical trial and error methodology commonly used by human designers. In this short course, we will learn how to use Balu with several examples and graphic user interfaces. We will review some image processing techniques; we will extract a large set of features; we will select them and test a bank of classifiers in order to achieve a high performance.

Tutorial 2:
Prof. Ebroul Izquierdo PhD, MSc, CEng, FIET, SMIEEE, MBMVA, Chair of Multimedia and Computer Vision and head of the Multimedia and Vision Group in the school of Electronic Engineering and Computer Science at Queen Mary, University of London.

Image processing in security applications: In this short course relevant image processing tools in forensic and security applications will be discussed. The course will introduce the main challenges of analysing video from real CCTV footage, outline the shortcomings of classic approaches when applied to real use-cases, and provide insight of new methods that promise to overcome the shortcomings of existing technology.

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