A hybrid system for an on-site automatic vehicle counting and classification

作者: Grzegorz Wilczewski , Tomasz Czarnecki

DOI: 10.1117/12.2501596

关键词: Vehicle countingComputer visionArtificial intelligenceComputer scienceHybrid system

摘要:

参考文章(7)
Prashant A. Shinde, Y.B. Mane, Advanced vehicle monitoring and tracking system based on Raspberry Pi ieee international conference on intelligent systems and control. pp. 1- 6 ,(2015) , 10.1109/ISCO.2015.7282250
Jonathan Long, Evan Shelhamer, Trevor Darrell, Fully convolutional networks for semantic segmentation computer vision and pattern recognition. pp. 3431- 3440 ,(2015) , 10.1109/CVPR.2015.7298965
Johannes Masino, Michael Frey, Frank Gauterin, Rajat Sharma, Development of a highly accurate and low cost measurement device for Field Operational Tests 2016 IEEE International Symposium on Inertial Sensors and Systems. ,vol. 2016, pp. 74- 77 ,(2016) , 10.1109/ISISS.2016.7435548
M. Genovese, E. Napoli, N. Petra, OpenCV compatible real time processor for background foreground identification international conference on microelectronics. pp. 467- 470 ,(2010) , 10.1109/ICM.2010.5696190
Grzegorz Wilczewski, Tomasz Czarnecki, Krzysztof Perlicki, Optoelectronic systems for automatic vehicle counting and classification in rest areas Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017. ,vol. 10445, ,(2017) , 10.1117/12.2280809
Athanasios Karapantelakis, Jan Markendahl, Challenges for ICT business development in intelligent transport systems the internet of things. ,(2017) , 10.1109/CTTE.2017.8260931
Neha Patil, Shrikant Ambatkar, Sandeep Kakde, IoT based smart surveillance security system using raspberry Pi international conference on communication and signal processing. pp. 0344- 0348 ,(2017) , 10.1109/ICCSP.2017.8286374