Visual tracking and object recognition

被引：0

作者：

Tannenbaum, A ^{[1
]}

Yezzi, A ^{[1
]}

Goldstein, A ^{[1
]}

机构：

[1] Georgia Inst Technol, Dept Elect & Comp Engn, Atlanta, GA 30082 USA

来源：

NONLINEAR CONTROL SYSTEMS 2001, VOLS 1-3 | 2002年

关键词：

active control; cognitive systems; tracking systems; visual motion; visual pattern recogntion;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we will discuss the closely related problems of visual tracking and object recognition. The solution involves adaptive and robust control in conjunction with multiscale methods from signal processing, and shape recognition theory from computer vision. We should note that the problem of visual tracking differs from standard tracking problems in that the feedback signal is measured using imaging sensors. In particular, it has to be extracted via computer vision algorithms and interpreted by a reasoning algorithm before being used in the control loop. Recognition will be accomplished using a novel invariant theoretic approach to shape analysis. Copyright (C) 2001 IFAC.

引用

页码：1539 / 1542

页数：4

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