Technical Report CIS-2007-05

TR#:CIS-2007-05
Class:CIS
Title: Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary
Authors: Ido Leichter, Michael Lindenbaum and Ehud Rivlin
PDFCIS-2007-05.pdf
Abstract: Kernel-based trackers aggregate image features within the support of a kernel (a mask) regardless of their spatial structure. These trackers spatially fit the kernel (usually in location and in scale) such that a function of the aggregate is optimized. We propose a kernel-based visual tracker that exploits the constancy of color and the presence of color edges along the target boundary. The tracker estimates the best affinity of a spatially aligned pair of kernels, one of which is colorrelated and the other of which is object boundary-related. In a sense, this work extends previous kernel-based trackers by incorporating the object boundary cue into the tracking process and by allowing the kernels to be affinely transformed instead of only translated and isotropically scaled. These two extensions make for more precise target localization. Moreover, a more accurately localized target facilitates safer updating of its reference color model, further enhancing the tracker’s robustness. The improved tracking is demonstrated for several challenging image sequences.
CopyrightThe above paper is copyright by the Technion, Author(s), or others. Please contact the author(s) for more information

Remark: Any link to this technical report should be to this page (http://www.cs.technion.ac.il/users/wwwb/cgi-bin/tr-info.cgi/2007/CIS/CIS-2007-05), rather than to the URL of the PDF files directly. The latter URLs may change without notice.

To the list of the CIS technical reports of 2007
To the main CS technical reports page

Computer science department, Technion
admin