Numerous applications such as simulations, air traffic control systems, and video surveillance systems are inherently composed of spatial objects that move in a scene. In many ins...
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
In this paper, we propose a general framework for real time video data mining to be applied to the raw videos (traffic videos, surveillance videos, etc.). We investigate whether t...
We describe a "constant pace" framework for video summarization via fast playback or temporal subsampling. The pace of the summary serves as a parameter that enables pro...