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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Varona, X. Gonzalez, J. Xavier Roca, F. Villanueva, J.J. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. d'Inf., Univ. Autonoma de Barcelona, Spain (Varona, X.) |
| Abstract | Real applications on people tracking are usually based on image heuristics. Real approaches do not use to apply recent prediction-estimation theoretical frameworks. These require the definition of complex dynamical and shape object models before the tracking process. We present a probablistic framework that takes profit of these theories adapting them to real applications. The key idea of this work is to estimate the shape model and dynamical objects parameters using only image data. The flexibility of our algorithm makes it suitable to be used on different real applications. Some experiments have been done in order to test our method in outdoor scenes people tracking. |
| Starting Page | 1110 |
| Ending Page | 1113 |
| File Size | 529895 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769507506 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2000.903740 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-03 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Computer vision Bayesian methods Application software Tracking State estimation Testing Layout Surveillance Motion analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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