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Image processing algorithm that enables accurate feature tracking on rapidly moving objects
Engineers at the University of Pennsylvania have developed an algorithm that works in conjunction with high speed cameras to enable feature tracking on extremely fast moving objects. This innovative algorithm could enable rapid object tracking, inform robotic positioning, and improve image stabilization. Problem: The speed with which standard cameras...
Published: 2/6/2020   |   Inventor(s): Nikolay Atanasov, Alex Zhu, Konstantinos Daniilidis
Keywords(s):  
Category(s): Imaging
Motion and event detection in images using self-supervised neural networks
A method to detect motion or an indication of an event from images obtained from multiple cameras using self-supervised neutral networks unlike the currently available algorithms such as optical flow. Technology Overview: This technology developed by the researchers at the University of Pennsylvania is capable of predicting events from images...
Published: 12/6/2019   |   Inventor(s): Konstantinos Daniilidis, Alex Zhu
Keywords(s):  
Category(s): Software & Data & Algorithms & Apps