In many real applications traditional superresolution methods fail to provide high-resolution images due to objectionable blur and inaccurate registration of input low-resolution ...
A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized video representation suitable f...
In recent years considerable interest has been given to nonphotorealistic rendering of photographs, video, and 3D models for illustrative or artistic purposes. Conventional 2D inp...
Noah Snavely, C. Lawrence Zitnick, Sing Bing Kang,...
This paper presents a unified approach to human activity capturing and recognition. It targets applications such as a speaker walking, turning around, sitting and getting up from ...
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...