A fast template matching algorithm based on principal orientation difference
| Autor: | Jichao Jiao, Xin Wang, Zhongliang Deng, Jichang Cao, Weihua Tang |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | International Journal of Advanced Robotic Systems, Vol 15 (2018) |
| Druh dokumentu: | article |
| ISSN: | 1729-8814 17298814 |
| DOI: | 10.1177/1729881418778223 |
| Popis: | In the case that the background scene is dense map regularization complex and the detected objects are low texture, the method of matching according to the feature points is not applicable. Usually, the template matching method is used. When training samples are insufficient, the template matching method gets a worse detection result. In order to resolve the problem stably in real time, we propose a fast template matching algorithm based on the principal orientation difference feature. The algorithm firstly obtains the edge direction information by comparing the images that are binary. Then, the template area is divided where the different features are extracted. Finally, the matching positions are searched around the template. Experiments on the videos whose speed is 30 frames/s show that our algorithm detects the low-texture objects in real time with a matching rate of 95%. Compared with other state-of-art methods, our proposed method reduces the training samples significantly and is more robust to the illumination changes. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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