Detection of camera with impaired view

Methods, systems, and programs are presented for detecting impaired views in monitoring cameras. One method includes training a rotation classifier with unsupervised learning utilizing a first set of images. The rotation classifier is configured to receive an input image and generate a rotation feat...

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Hauptverfasser: Dhamija, Akshay Raj, Wang, Yan, Hurst, Nathan, Finch, Margaret Irene, Srinivasan, Sharan, Annigeri, Rohit, Agarwal, Shaurye, Yu, Howard, Wang, Jing
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creator Dhamija, Akshay Raj
Wang, Yan
Hurst, Nathan
Finch, Margaret Irene
Srinivasan, Sharan
Annigeri, Rohit
Agarwal, Shaurye
Yu, Howard
Wang, Jing
description Methods, systems, and programs are presented for detecting impaired views in monitoring cameras. One method includes training a rotation classifier with unsupervised learning utilizing a first set of images. The rotation classifier is configured to receive an input image and generate a rotation feature embedding for the input image. In addition, the method includes training an impairment classifier with supervised learning utilizing a second set of images, impairment labels for each of the second set of images, and the rotation feature embedding, generated by the rotation classifier, for each of the second set of images. The method further includes accessing a vehicle image captured by a camera on a vehicle, and providing the vehicle image to the impairment classifier as input, and the impairment classifier outputs a camera impairment from a set of camera impairment categories. Further, the vehicle image and the camera impairment are presented on a user interface.
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subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Detection of camera with impaired view
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