


Deep Object Detection
Recently, Convolutional Neural Networks (CNNs) have been used for object/target (e.g., face, person, car, pedestrian, road sign) detection with great results.



Video Processing and Standards Conversion
This lecture Video Processing and Standards Conversion that has many applications in video denoising, video interpolation and de-interlacing. It covers the following topics in detail: Continouous and discrete multidimensional signals.



Motion Estimation
Motion estimation principals will be analyzed. Initiating form 2D and 3D motion models, displacement estimation as well as quality metrics for motion estimation will subsequently be detailed.



2D Medical Image Acquisition
This lecture overviews 2D Medical Image Acquisition that has many applications in Medical diagnosis and treatment, as well as in Biology, Biomedical Engineering and Dentistry.



Multiview Object Detection and Tracking
This lecture overviews Multiview Object Detection and Tracking that has many applications in video analysis and autonomous systems. It covers the following topics in detail: Multiview Human and Object Detection, Multiview Object tracking.



2D Object Detection and Tracking
This lecture overviews 2D Object Detection and Tracking that has many applications in autonomous car/drone vision (person, pedestrian, car tracking) and visual surveillance.