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Computer Vision and Image Processing for Automated Surveillance

Abstract

Presentation slides covering:

- robust foreground detection / background subtraction via patch-based analysis
- person re-identification based on representations on Riemannian manifolds
- robust object tracking via Grassmann manifolds
- adapting the lessons from big data to computer vision
- future paradigm shifts: computer vision based on networks of neurosynaptic cores

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1 user has voted: Conrad Sanderson

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Sanderson_Computer_Vision_and_Image_Processing_for_Automated_Surveillance.pdf

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