@inproceedings{24e8863e68764ef29454376799a592cc,
title = "CrowdTracker: Object tracking using mobile crowd sensing",
abstract = "This paper proposes CrowdTracker, a novel object tracking system based on mobile crowd sensing (MCS). Different from traditional video-based studies, CrowdTracker recruits people to collaboratively take photos of the object to achieve object movement prediction and tracking. The optimization objective of CrowdTracker is to effectively track the moving object in real time and minimize the cost on user incentives. Specifically, the incentive is determined by the number of workers assigned and the total distance that workers move to complete the task. In order to achieve the objective, we propose the MPRE model to predict the object movement and two other algorithms, namely Tcentric and P-centric, for task allocation. Initial experimental results over a large-scale real-world dataset indicate that CrowdTracker can effectively track the object with a low incentive cost.",
keywords = "Mobile crowd sensing, Object movement prediction, Object tracking, Photo taking, Task allocation",
author = "Yao Jing and Bin Guo and Yan Liu and Zhu Wang and Zhiwen Yu and Xingshe Zhou",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 ; Conference date: 11-09-2017 Through 15-09-2017",
year = "2017",
month = sep,
day = "11",
doi = "10.1145/3123024.3123094",
language = "英语",
series = "UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers",
publisher = "Association for Computing Machinery, Inc",
pages = "85--88",
booktitle = "UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers",
}