Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
In this paper we address the problem of estimating who is speaking from automatically extracted low resolution visual cues in group meetings. Traditionally, the task of speech/non...
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Gesture-based interfaces provide expert users with an efficient form of interaction but they require a learning effort for novice users. To address this problem, some on-line gui...
In this paper we address the problem of recognising interactions between two people in realistic scenarios for video retrieval purposes. We develop a per-person descriptor that us...
Alonso Patron, Marcin Marszalek, Andrew Zisserman,...