PERFORMANCE EVALUATION OF MULTI-CAMERA VISUAL TRACKING

被引：5

作者：

Marcenaro, Lucio ^{[1
]}

Morerio, Pietro ^{[1
]}

Regazzoni, Carlo S. ^{[1
]}

机构：

[1] Univ Genoa, DITEN Dept Naval Elect Elect & Telecommun Engn, Genoa, Italy

来源：

2012 IEEE NINTH INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL-BASED SURVEILLANCE (AVSS) | 2012年

关键词：

Multi-camera tracking; data fusion; RBMCDA; performance evaluation;

D O I：

10.1109/AVSS.2012.86

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Main drawbacks in single-camera multi-target visual tracking can be partially removed by increasing the amount of information gathered on the scene, i.e. by adding cameras. By adopting such a multi-camera approach, multiple sensors cooperate for overall scene understanding. However, new issues arise such as data association and data fusion. This work addresses the issue of evaluating the performance of a multi-camera tracking algorithm based on Rao-Blackwellized Monte Carlo data association (RBMCDA) on real data. For this purpose, a new metric based on three performance indexes is developed.

引用

页码：464 / 469

页数：6

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