Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Influence of zoom selection on a Kalman filter|
|Citation:||IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008, (IROS 2008) / pp.2565-2571|
|Conference Name:||IEEE/RSJ International Conference on Intelligent Robots and Systems (2008 : Nice, France)|
|Eric Sommerlade and Ian Reid|
|Abstract:||The use of a single camera with a zoom lens for tracking involves a continuous arbitration of accuracy vs. reliability. We address this problem with an information-theoretic approach, where we extend zoom selection based on conditional entropy by incorporating the fixation errors into the observation likelihood. We present a thorough analysis of previous approaches, revealing zoom and speed limits, especially how the ratio of process to measurement noise effectively limits the maximally usable zoom for any system tracking with a Kalman filter. This work finally presents means to circumvent aforementioned limitations.|
|Appears in Collections:||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.