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Content Provider | IEEE Xplore Digital Library |
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Author | Gengjie Chen St-Charles, P.-L. Bouachir, W. Bilodeau, G.-A. Bergevin, R. |
Copyright Year | 2015 |
Abstract | Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in computer vision for many years. However, it is difficult to assess the progress that has been made because there is no standard evaluation methodology. The difficulty in evaluating PTZ tracking algorithms arises from their dynamic nature. In contrast to other forms of tracking, PTZ tracking involves both locating the target in the image and controlling the motors of the camera to aim it so that the target stays in its field of view. This type of tracking can only be performed online. In this paper, we propose a new evaluation framework based on a virtual PTZ camera. With this framework, tracking scenarios do not change for each experiment and we are able to replicate the main principles of online PTZ camera control and behavior including camera positioning delays, tracker processing delays, and numerical zoom. We tested our evaluation framework with the Camshift tracker to show its viability and to establish baseline results. |
Starting Page | 2055 |
Ending Page | 2059 |
File Size | 3892132 |
Page Count | 5 |
File Format | |
e-ISBN | 9781479983391 |
DOI | 10.1109/ICIP.2015.7351162 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-09-27 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Cameras Target tracking Delays Videos Object tracking Evaluation framework PTZ tracking |
Content Type | Text |
Resource Type | Article |
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