Three Brown Mice: See How They Run

Kristin Branson, Vincent Rabaud and Serge Belongie
CS2003-0763
August 19, 2003

We address the problem of tracking multiple, identical, nonrigid moving targets through occlusion for purposes of rodent surveillance from a side view. Automated behavior analysis of individual mice promises to improve animal care and data collection in medical research. In our experiments, we consider the case of three brown mice that repeatedly occlude one another and have no stable trackable features. Our proposed algorithm computes and incorporates a hint of the future location of the target into layer-based ane optical flow estimation. The hint is based on the estimated correspondences between mice in di erent frames derived from a depth ordering heuristic. Our approach is simple, ecient, and does not require a manually constructed mouse template. We demonstrate encouraging results on a challenging test sequence containing multiple instances of severe occlusion.


How to view this document


The authors of these documents have submitted their reports to this technical report series for the purpose of non-commercial dissemination of scientific work. The reports are copyrighted by the authors, and their existence in electronic format does not imply that the authors have relinquished any rights. You may copy a report for scholarly, non-commercial purposes, such as research or instruction, provided that you agree to respect the author's copyright. For information concerning the use of this document for other than research or instructional purposes, contact the authors. Other information concerning this technical report series can be obtained from the Computer Science and Engineering Department at the University of California at San Diego, techreports@cs.ucsd.edu.


[ Search ]


NCSTRL
This server operates at UCSD Computer Science and Engineering.
Send email to webmaster@cs.ucsd.edu