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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pham, Quy Ich Jalovecky, Rudolf Polasek, Martin |
| Copyright Year | 2015 |
| Abstract | ❑ The template matching technique could be implemented in IR video sequence to recognize the given target, ❑ In a video sequence with many objects, we can still use a template object in a frame of the video to recognize the object in the other frames, ❑ With selecting the size of the template image is nearly identical to the size of the target and a size of sub-image ƒ more than 2 or 3 times the size of template image g, will give us a result with the high accuracy and processing time is also acceptable, ❑ To ensure more accurate, we should open up a new solution for taking the updated template image g after a period of time to avoid a decrease of correlation coefficient., ❑ Firstly, this algorithm is not capable of identifying targets in case its characteristics are changed, for example, obscured by other objects, masked by terrain conditions, ❑ Secondly, the algorithm cannot detect objects at long distances in comparison with background subtraction algorithm, ❑ In this paper we used maxcc ≥ 0.8. The correlation coefficient value is often chosen on dependence on distance, movement direction and size of template image. |
| Starting Page | 1 |
| Ending Page | 15 |
| File Size | 10598335 |
| Page Count | 15 |
| File Format | |
| e-ISBN | 9781479989409 |
| DOI | 10.1109/DASC.2015.7311641 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-09-13 |
| Publisher Place | Czech Republic |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
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