In this paper, we propose a general-purpose methodology for detecting multiple objects with known visual models from multiple views. The proposed method is based Monte-Carlo sampli...
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
We present a system for automatic head tracking with a single pan-tilt-zoom (PTZ) camera. In distance education the PTZ tracking system developed can be used to follow a teacher a...
Text that appears in images contains important and useful information. Detection and extraction of text in images have been used in many applications. In this paper, we propose a ...