@inproceedings{f0a543efb53c4aea8ced0e2290c5a803,
title = "Real time multiple object tracking using tracking matrix",
abstract = "Multi-object tracking is an important subject and challenging task in computer vision research. This article presented a method of multiple objects tracking for real-time intelligent surveillance. After object detection, using Kalman filter to predict objects' state. Then, a {"}tracking matrix{"} is calculated based on color histogram information to establish the corresponding relationship between objects. When there is occlusion or splitting, {"}mother object{"} and {"}child object{"} are introduced to maintain continuous and reliable tracking. Experiment results show that the proposed methods are fast and effective.",
keywords = "Color distribution, Intelligent surveillance, Kalman filter, Multi-object tracking, Tracking matrix",
author = "Fei Hao and Zhenjiang Miao and Ping Guo and Zhan Xu",
year = "2009",
doi = "10.1109/CSE.2009.352",
language = "English (US)",
isbn = "9780769538235",
series = "Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009",
pages = "37--41",
booktitle = "Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009",
note = "7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009 ; Conference date: 29-08-2009 Through 31-08-2009",
}