@inproceedings{3b79a833dc8548178b2118ea9df73988,
title = "Multi-target tracking using sample-based data association for mixed images",
abstract = "The ubiquitous specular reflections arose from glasses seriously degrade accuracy of previous visual trackers. Although there have been few visual tracking schemes developed for mixed images with reflections, none focuses on the issue of multi-target tracking. Thus, this paper proposes a multi-target tracking scheme on mixed images with reflections. In the framework of particle filter, the proposed scheme combines the sample-based joint probabilistic data association filter (SJPDAF) with a single target based tracker that uses co-inference and maximum likelihood for visual cue integration to improve tracking accuracy of multiple targets. The co-inference predicted states are used for measurement validation of the SJPDAF. Experimental results show that the proposed scheme works well compared with the SJPDAF tracker.",
author = "Zhang, {Ting Hao} and Chen, {Hsiao Tzu} and Tang, {Chih Wei}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 11th International Symposium on Advances in Visual Computing, ISVC 2015 ; Conference date: 14-12-2015 Through 16-12-2015",
year = "2015",
doi = "10.1007/978-3-319-27857-5_12",
language = "???core.languages.en_GB???",
isbn = "9783319278568",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "127--137",
editor = "Mark Elendt and Richard Boyle and Eric Ragan and Bahram Parvin and Rogerio Feris and Tim McGraw and Ioannis Pavlidis and Regis Kopper and George Bebis and Darko Koracin and Zhao Ye and Gunther Weber",
booktitle = "Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings",
}