This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
We propose a robust scene recognition system for baseball broadcast videos. This system is based on the data-driven approach which has been successful in continuous speech recogni...
We investigate the issue of sign language automatic phonetic subunit modeling, that is completely data driven and without any prior phonetic information. A first step of visual p...
We present a multi-camera system for audio-visual analysis of dance figures. The multi-view video of a dancing actor is acquired using 8 synchronized cameras. The motion capture t...
The problem of ethnicity identification from names has a variety of important applications, including biomedical research, demographic studies, and marketing. Here we report on th...
Anurag Ambekar, Charles B. Ward, Jahangir Mohammed...