Vehicle Counting System Based on Vehicle Type Classification Using Deep Learning Method
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-6451-7_7
Reference11 articles.
1. Subaweh, M.B., Wibowo, E.P.: Implementation of pixel based adaptive segmenter method for tracking and counting vehicles in visual surveillance. In: 2016 International Conference on Informatics and Computing (ICIC), Mataram, Indonesia, pp. 1–5 (2016)
2. Li, S., Yu, H., Zhang, J., Yang, K., Bin, R.: Video-based traffic data collection system for multiple vehicle types. IET Intell. Transp. Syst. 8(2), 164–174 (2014)
3. Prommool, P., Auephanwiriyakul, S., Theera-Umpon, N.: Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation. In: 2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Penang, Malaysia, pp. 485–489 (2016)
4. Quesada, J., Rodriguez, P.: Automatic vehicle counting method based on principal component pursuit background modeling. In: 2016 IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, pp. 3822–3826 (2016)
5. Kamkar, S., Safabakhsh, R.: Vehicle detection, counting and classification in various conditions. IET Intell. Transp. Syst. 10(6), 406–413 (2016)
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