In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...
In this paper, we evaluate a method for on-line handwritten Kanji character recognition by describing the structure of Kanji using Stochastic Context-Free Grammar (SCFG), and exte...
The proposed implementation is a monitor system able to train operators for on-line real time manufacturing control in order to analyze the performance of a production process. Th...
Agostino G. Bruzzone, Pietro Giribone, Roberto Rev...
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
Abstract This work introduces a self-supervised architecture for robust classification of moving obstacles in urban environments. Our approach presents a hierarchical scheme that r...
Roman Katz, Juan Nieto, Eduardo Mario Nebot, Bertr...