On Occlusion-Handling for People Detection Fusion in Multi-camera Networks

被引：0

作者：

Haselhoff, Anselm ^{[1
]}

Hoehmann, Lars ^{[1
]}

Nunn, Christian ^{[2
]}

Meuter, Mirko ^{[2
]}

Kummert, Anton ^{[1
]}

机构：

[1] Univ Wuppertal, Commun Theory, D-42119 Wuppertal, Germany

[2] Delphi Elect & Safety, D-42119 Wuppertal, Germany

来源：

MULTIMEDIA COMMUNICATIONS, SERVICES, AND SECURITY | 2011年 / 149卷

关键词：

Object Detection; Sensor Data Fusion; Occlusion Handling; Camera Networks;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper a system for people detection by means of Track-To-Track fusion of multiple cameras is presented. The main contribution of this paper is the evaluation of the fusion algorithm based on real image data. Before the fusion of the tracks an occlusion handling resolves implausible assignments. For the evaluation two test vehicles are equipped with LANCOM (R) wireless access points, cameras, inertial measurement units (MU) and U enhanced GPS receivers. The people are detected by using an Ad-aBoost algorithm and the results are tracked with a Kalman filter. tracked results are transmitted to the opponent vehicle in appropriate coordinates. The final stage of the system consists of the fusion and occlusion handling.

引用

页码：113 / +

页数：2

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