The ability to continuously monitor the positions of mobile objects is important in many applications. While most past work has been set in Euclidean spaces, the mobile objects rel...
Hua Lu, Zhiyong Huang, Christian S. Jensen, Linhao...
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...
Indoor spaces accommodate large populations of individuals. The continuous range monitoring of such objects can be used as a foundation for a wide variety of applications, e.g., s...
We present a framework for tracking rigid objects based on an adaptive Bayesian recognition technique that incorporates dependencies between object features. At each frame we fin...
We have investigated the use of an object database as a platform for storing and retrieving Standard Generalized Markup Language (SGML) documents. Qualitative studies convinced us...