Obtaining basic knowledge in video acquisition, digital video processing, 2D motion tracking and generation of digital video and animations.

Knowledge that covers fundamentals of video acquisition and digital video processing. Knowledge and understanding of main concepts and principles of algorithms for video processing. Sparse and dense feature detection in video and its tracking in time for motion analysis and tracking in video. Knowledge covering digital video and animations generation based on input video stream or virtually generated 2D/3D content. Upgraded knowledge of C/C++ programming language and its application for video processing using existing digital video libraries.

Video acquisition, representation and vizualisation of video. Digital video processing: spatio-temporal video sampling and quantization, spatio-temporal video filtering, interpolation and segmentation, frequency analysis of video. Detection and description of salient features in video signal and its tracking in time. Motion detection, estimation and tracking in video. Video formatting and compression.

Teaching includes the following forms: theoretical lectures, practical computational classes, practical project assignments and consultation. Lectures include teaching of theoretical concepts, where active participation of students is highly stimulated through discussions. Practical classes are done in computer lab on PCs using C/C++ programming language with supporting computer vision open source library OpenCV. In computational classes, video cameras are also used where, through specially developed code, camera acquisition is done.