The recognition of events in video data is a subject of much current interest. In this paper, we address several issues related to this topic. The first one is overfitting when ...
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
This paper investigates the use of unlabeled data to help labeled data for audio-visual event recognition in meetings. To deal with situations in which it is difficult to collect...
Children with autism often exhibit self-stimulatory (or “stimming”) behaviors. We present an on-body sensing system for continuous recognition of stimming activity. By creatin...
Tracy L. Westeyn, Kristin Vadas, Xuehai Bian, Thad...
We propose a first attempt to classify events in static images by integrating scene and object categorizations. We define an event in a static image as a human activity taking pla...