@inproceedings{72d32cc2bb6c437dbbf2b2316aa9297e,
title = "Object tracking algorithm of adaptive kernel-bandwidth for mean-shift based on optical-flows",
abstract = "To obtain and update the kernel-bandwidth, we present an adaptive bandwidth obtainment algorithm based on object contour extraction from optical-flow field. The combination of modified mountain cluster approach and fast scanning window contour extractor guarantees the speed of this algorithm. A novel ellipse detection method based on a modified RANSAC is adopted to reduce the noise. Experimental results demonstrate that the algorithm select the proper size of tracking kernel-bandwidth with minor extra computational overhead and keep up with the object robustly when the scale changed rapidly.",
keywords = "RANSAC, kernel bandwidth, mean shift, mountain cluster, object tracking",
author = "Qinlong He and Junzheng Wang and Jing Li",
year = "2013",
month = oct,
day = "18",
language = "English",
isbn = "9789881563835",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "3586--3589",
booktitle = "Proceedings of the 32nd Chinese Control Conference, CCC 2013",
address = "United States",
note = "32nd Chinese Control Conference, CCC 2013 ; Conference date: 26-07-2013 Through 28-07-2013",
}