


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.



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.



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.



Spectral Signal Analysis
This lecture overviews Spectral Signal Analysis that has many applications in periodicity estimation and acoustic/speech/music/biomedical signa analysis.



Digital Filter Structures
This lecture overviews Digital Filter Structures that has many applications in digital signal processing.



Deep Semantic Image Segmentation
Semantic image segmentation is a very important computer vision task with several applications in autonomous systems perception, robotic vision and medical imaging.