University of Houston Camera Tampering Detection Dataset

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University of Houston Camera Tampering Detection Dataset

An unauthorized or an accidental change in the view of a surveillance camera is called a tampering. UHCTD is a large scale synthetic dataset for camera tampering detection. The dataset is created from two outdoor surveillance cameras, Camera A and Camera B. Camera A has a resolution of 2048X1536, and Camera B has a resolution of 1280X960. The videos are cropped to a 3 rd of their resolution during synthesis. Camera A has a framerate of 3 frames per second (fps), and Camera B has a framerate of 10 fps. The two cameras together capture a wide variety of regular scene changes that occur in surveillance cameras. We define four classes: normal, covered, defocussed, and moved. The tampers are synthesized into the videos using image processing techniques.

Dataset Attributes

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CategoriesAnomaly, Detection, Surveillance, Camera, Video, Tampering, Detection, Large, Scale, Surveillance