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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Micheloni, C. Foresti, G.L. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Mathematics & Comput. Sci., Udine Univ., Italy (Micheloni, C.; Foresti, G.L.) |
| Abstract | In this paper, the problem of continuous tracking of moving objects with a PTZ camera is addressed. In particular, the problem of tracking moving objects during zoom phases is solved by using a feature clustering technique. In order to adopt such a method, we need, first, a step where during tracking with a pan&tilt camera we can identify the mobile objects in the monitored scene. Therefore, a set of good trackable features belonging to the selected target is extracted. In this research, we adopt a feature clustering method that is able to discriminate between features associated with the background and features associated with different moving objects. As a result, for each moving object, we have a set of correctly tracked features that is used to track the objects. Experiments have been performed on outdoor environments where either people or vehicles have been tracked. The results highlight how such a technique can be included in a more complex system able to maintain targets in the field of view of the camera, and to zoom on an object of interest when desired. |
| File Size | 217788 |
| File Format | |
| ISBN | 0780391349 |
| DOI | 10.1109/ICIP.2005.1530342 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-09-14 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Target tracking Cameras Motion detection Object detection Layout Mathematics Computer science Object recognition Monitoring Clustering methods |
| Content Type | Text |
| Resource Type | Article |
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