People identification is an essential task for video content analysis in a surveillance system. A good classifier, however, requires a large amount of training data, which may not...
A fundamental task in computer vision is that of determining the position and orientation of a moving camera relative to an observed object or scene. Many such visual tracking alg...
This paper addresses the problem of fully automated
mining of public space video data. A novel Markov Clustering
Topic Model (MCTM) is introduced which builds on
existing Dynami...
We present a video summarization approach for egocentric or “wearable” camera data. Given hours of video, the proposed method produces a compact storyboard summary of the came...
An algorithm is described for reconstructing images from colour sensor samples, which need not be aligned nor conform to a rectangular sampling geometry. The algorithm has applica...