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
收藏
页码：464 / 469
页数：6
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