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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rastegar, S. Babaeean, A. Bandarabadi, M. Bahmaniar, G.-R. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Electrical Engineering, Amirkabir University of Technology, Dept. of Electrical Eng, 15875-4413, Hafez, Tehran, Iran (Babaeean, A.) || Department of ECE, Noshirvani Inst. of Tech., University of Mazandaran, P.O. 484, Babol, Iran (Rastegar, S.; Bandarabadi, M.; Bahmaniar, G.-R.) |
| Abstract | An object tracking algorithm that uses the flexible kernels based on the normalized Metric d Distance Transform for the Mean shift procedure is proposed and tested. This replaces the more usual Epanechnikov kernel (E-kernel), improving target representation and localization without increasing the processing time, minimizing the similarity measure using the Bhattacharya coefficient. The target shape which defines the d Distance Transform is found either by regional segmentation or background-difference imaging, dependent on the nature of the video sequence .The algorithm is tested on several image sequences and shown to achieve robust and reliable frame-rate tracking. |
| Starting Page | 54 |
| Ending Page | 58 |
| File Size | 317661 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424433247 |
| ISSN | 00942898 |
| DOI | 10.1109/SSST.2009.4806820 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Kernel Target tracking Image segmentation Histograms Space technology Robustness Robust stability Motion estimation Layout Extraterrestrial measurements Epanechnikov kernel Object tracking dα Distance Transform Mean Shift image segmentation Bhattacharyya coefficient |
| Content Type | Text |
| Resource Type | Article |
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