Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMilla...
Detection of appearance/disappearance of objects from satellite images is generally very difficult since background pixels also change their intensity values owing to various fac...
We consider the problem of distributed classification of multiple observations of the same object that are collected in an ad-hoc network of vision sensors. Assuming that each sen...
An object model for computer graphics applications should contain two aspects of information: shape and reflectance properties of the object. A number of techniques have been deve...