Displaying 278 resources

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.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

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.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

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.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

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.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

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.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Recurrent Neural Networks. LSTMs

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.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand