Most of visual tracking algorithms have been achieved by matching-based searching strategies or detection-based data association algorithms. In this paper, our objective is to ana...
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Online feature selection (OFS) provides an efficient way to sort through a large space of features, particularly in a scenario where the feature space is large and features take a...
A `Moving Window' scheme for detecting lanes, obstacles and corridor environments from the images captured by a CCD camera in an automobile or mobile robot is proposed. Proce...
This paper investigates whether Web comments can be exploited for cross-media retrieval. Comparing Web items such as texts, images, videos, music, products, or personal profiles ...