Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Conference paper
Title: Real time target tracking with pan tilt zoom camera
Author: Kumar, P.
Dick, A.
Sheng, T.
Citation: Proceedings of 2009 Digital Image Computing: Techniques and Applications, 2009: pp.492-497
Publisher: CPS
Publisher Place: California
Issue Date: 2009
ISBN: 9780769538662
Conference Name: Digital Image Computing: Techniques and Applications (2009 : Melbourne, Australia)
Editor: Shi, H.
Zhang, Y.C.
Bottema, M.J.
Lovell, B.C.
Maeder, A.J.
Statement of
Pankaj Kumar, Anthony Dick and Tan Soo Sheng
Abstract: We present an approach for real-time tracking of a non-rigid target with a moving pan-tilt-zoom (PTZ) camera. The tracking of the object and control of the camera is handled by one computer in real time. The main contribution of the paper is method for target representation, localisation and detection, which takes into account both foreground and background properties, and is more discriminative than the common colour histogram based back-projection. A Bayesian hypothesis test is used to decide whether each pixel is occupied by the target or not. We show that this target representation is suitable for use with a Continuously Adaptive Mean Shift (CAMSHIFT) tracker. Experiments show that this leads to a tracking system that is efficient and accurate enough to guide a PTZ camera to follow a moving target in real time, despite the presence of background clutter and partial occlusion.
Keywords: Target Representation
PTZ camera
Rights: © 2009 IEEE
DOI: 10.1109/DICTA.2009.84
Published version:
Appears in Collections:Aurora harvest
Computer Science publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.