@inproceedings{627b7311a654416589039d73e011320e,
title = "The real-time target tracking algorithm based on improved template matching and its hardware implementation",
abstract = "In order to solve the long-time tracking problem in the video stream, this paper proposes a real-time target tracking algorithm based on improved template matching. On the basis of the traditional template matching algorithm, we apply the random forests to generate and train those characteristics. During the process of template matching, we use the improved normalized correlation coefficient to evaluate the similarity. It can also update the real-time template library and ensure the tracking is not lost. Algorithm can achieve a long-term tracking, and able to deal with the complex background, part of the covering, and so on. The algorithm has been applied in the hardware processing platform which uses the FPGA and DSP as the core processing. The result is satisfactory.",
keywords = "Improved normalized correlation coefficient, Random forests, Target tracking",
author = "Daqun Li and Jie Guo and Tingfa Xu",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2016.; 4th International Conference on Communications, Signal Processing, and Systems, CSPS 2015 ; Conference date: 23-10-2015 Through 24-10-2015",
year = "2016",
doi = "10.1007/978-3-662-49831-6_53",
language = "English",
isbn = "9783662498293",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "531--539",
editor = "Jiasong Mu and Wei Wang and Baoju Zhang and Qilian Liang",
booktitle = "Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems",
address = "Germany",
}