Realtime vision based multi-target-tracking with particle filters in automotive applications

被引：11

作者：

Idler, Corvin ^{[1
]}

Schweiger, Roland ^{[3
]}

Paulus, Dietrich ^{[1
]}

Maehlisch, Mirko ^{[2
]}

Ritter, Werner ^{[2
]}

机构：

[1] Univ Koblenz Landau, Inst Computat Visualist, D-56070 Koblenz, Germany

[2] DaimlerChrysler AG, Res & Technol REI AI, D-89081 Ulm, Germany

[3] Univ Ulm, Dept Measurement, D-89069 Ulm, Germany

来源：

2006 IEEE INTELLIGENT VEHICLES SYMPOSIUM | 2006年

关键词：

D O I：

10.1109/IVS.2006.1689626

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the following we present a multi-instance-based multi-target-tracking method using particle filters. We developed a robust and flexible system capable of tracking an unknown and changing number of objects (vehicles) using early-vision image features. The system works in real time.

引用

页码：188 / +

页数：2

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