@inproceedings{49a91d8f3cb743be817b7129b8ce2a95,
title = "Target recognition and tracking method based on multiple templates in complex scenes",
abstract = "Image matching is a key technology in target recognition and tracking systems. This paper presents a method based on multi-template replacement strategy. The proposed method can ensure the resolution and accuracy of target recognition regardless of distance and field of view, and uses the idea of the Bayesian classifier. The problem of target recognition is converted into solving the Bayesian class posterior probability. This method was found to have high real-time performance and high target recognition accuracy.",
keywords = "Bayesian classifier, Image processing, Multiple templates, Offline training",
author = "Zhifeng Gao and Bo Wang and Mingjie Dong and Yongsheng Shi",
year = "2013",
doi = "10.1007/978-3-642-34531-9_60",
language = "English",
isbn = "9783642345302",
series = "Lecture Notes in Electrical Engineering",
pages = "569--576",
booktitle = "Proceedings of the 2012 International Conference on Information Technology and Software Engineering - Software Engineering and Digital Media Technology",
note = "2012 International Conference on Information Technology and Software Engineering, ITSE 2012 ; Conference date: 08-12-2012 Through 10-12-2012",
}