An Improved Gaussian Mixture Model Method for Moving Object Detection
| العنوان: | An Improved Gaussian Mixture Model Method for Moving Object Detection |
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| المؤلفون: | Wenpeng Jing, Taoxin Peng, Yujian Wang, Weiwei Dong |
| المصدر: | TELKOMNIKA (Telecommunication Computing Electronics and Control). 14:115 |
| بيانات النشر: | Universitas Ahmad Dahlan, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | business.industry, Improved algorithm, Order (ring theory), Pattern recognition, Interval (mathematics), Object (computer science), Mixture model, Object detection, Connection (mathematics), Artificial intelligence, Electrical and Electronic Engineering, business, Algorithm, Mathematics, Block (data storage) |
| الوصف: | Aiming at the shortcomings of Gaussian mixture model background method, a moving object detection method mixed with adaptive iterative block and interval frame difference method in the Gaussian mixture model is proposed. In this method, the video sequences are divided into different size pieces in order to reduce the amount of calculation of the algorithm. It not only effectively solves the problem that the traditional Gaussian mixture model algorithm cannot detect large and slow moving object accurately, but also solves empty and no connection problems due to the introduction of block thought. The experimental results show that the improved algorithm has faster processing speed, better effect and better environment adaptability compared with the background of the Gaussian mixture model method. And it can detect moving object more accurately and completely. |
| تدمد: | 2302-9293 1693-6930 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::dc8f8f397c02b85f89d6894b34a36574Test https://doi.org/10.12928/telkomnika.v14i3a.4424Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi...........dc8f8f397c02b85f89d6894b34a36574 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 23029293 16936930 |
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