| Autor: |
Osamu Saotome, Elcio Hideiti Shiguemori, Roberto d'Amore, Alex Goncalves Saraiva |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
2019 X Southern Conference on Programmable Logic (SPL). |
| Popis: |
Computer vision techniques employing convolution techniques are widely used to identify objects and patterns in images. This work describes an Adaptive Template Matching algorithm for tracking marks in videos. A SoC implementation is also presented for a non-adaptive case. The window used for searching a template is reduced, presuming that the template should not be far from its location in the previous frame. The proposed algorithm allows the identification through Normalized Cross-Correlation metric. The initial proposal is a computer-based implementation using computer vision libraries. As an alternative for the high time of processing, an alternative SoC implementation is presented. The results show the achievement of a real time condition for an UAV navigation application. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
