We investigate the classical notion of object composition in the framework of scenario-based specification and programming. We concentrate on live sequence charts (LSC), which exte...
Yoram Atir, David Harel, Asaf Kleinbort, Shahar Ma...
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
We revisit the problem of model-based object recognition for intensity images and attempt to address some of the shortcomings of existing Bayesian methods, such as unsuitable prior...
Recently many researchers have focused on management of historical trajectories of moving objects due to numerous size of accumulated data over time. However, most of them are conc...
Kyoung-Sook Kim, Mario A. Lopez, Scott T. Leuteneg...
— Although "Adaptive Mesh" is regarded as complicating method for object tracking accompanied with many controversies and obstacles, but it has been proposed that such ...