A distributed approach for real-time multi-camera multiple object tracking

被引:5
|
作者
Previtali, Fabio [1 ]
Bloisi, Domenico D. [1 ]
Iocchi, Luca [1 ]
机构
[1] Sapienza Univ Rome, Dept Comp Control & Management Engn A Ruberti, Via Ariosto 25, I-00185 Rome, Italy
关键词
Distributed multiple object tracking; Real-time data processing; Distributed data association; MULTIOBJECT TRACKING; PARTICLE FILTER; SURVEILLANCE;
D O I
10.1007/s00138-017-0827-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Estimating the positions of a set of moving objects captured from a network of cameras is still an open problem in Computer Vision. In this paper, a distributed and real-time approach for tracking multiple objects on multiple cameras is presented. A quantitative comparison with six state-of-the-art methods has been carried out on the publicly available PETS 2009 data set, demonstrating the effectiveness of the algorithm. Moreover, the proposed method has been tested also on a multi-camera soccer data set, showing its data fusion capabilities.
引用
收藏
页码:421 / 430
页数:10
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