ADR Awareness Centre

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

This lecture overviews Recurrent Neural Networks and Long Short-Term Memory (LSTM) networks that have many applications in signal and video analysis. It covers the following topics in detail: Neural Networks for Sequence Analysis.

This lecture overviews Music Genre Recognition that has many applications in the music industry and in the social/broadcasted media. It covers the following topics in detail: Audio Feature Extraction. Music Spectrograms. Sound Texture Selection.

Object/Target tracking is a crucial component of many vision systems. Object tracking issues are overviewed, e.g., occlusion handling, feature loss, drifting to the backgound.

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

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.