Vladimir Kozitsky

According to our database, Vladimir Kozitsky authored at least 10 papers between 2012 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Fast and Generalisable License Plate Re-identification using Neural Embedding of Fisher Vectors.

Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky, Sriganesh Madhvanath

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

2017

Segmentation- and Annotation-Free License Plate Recognition With Deep Localization and Failure Identification.

Orhan Bulan, Vladimir Kozitsky, Palghat Ramesh, Matthew Shreve

IEEE Trans. Intell. Transp. Syst., 2017

Neural Signatures for Licence Plate Re-identification.

Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky, Sriganesh Madhvanath

CoRR, 2017

2015

Comparison of Early and Late Information Fusion for Multi-camera HOV Lane Enforcement.

Beilei Xu, Orhan Bulan, Jayant Kumar, Safwan Wshah, Vladimir Kozitsky, Peter Paul

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Towards Annotation Free License Plate Recognition.

Orhan Bulan, Vladimir Kozitsky, Aaron M. Burry

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Vehicle speed estimation using a monocular camera.

Wencheng Wu, Vladimir Kozitsky, Martin E. Hoover, Robert P. Loce, D. M. Todd Jackson

Proceedings of the Video Surveillance and Transportation Imaging Applications 2015, 2015

USDOT number localization and recognition from vehicle side-view NIR images.

Orhan Bulan, Safwan Wshah, Palghat Ramesh, Vladimir Kozitsky, Aaron Burry

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2013

Automated fault detection in violation enforcement cameras within Electronic Toll Collection systems.

Anurag Ganguli, Ajay Raghavan, Vladimir Kozitsky, Aaron M. Burry

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012

Application of the SNoW machine learning paradigm to a set of transportation imaging problems.

Peter Paul, Aaron M. Burry, Yuheng Wang, Vladimir Kozitsky

Proceedings of the Visual Information Processing and Communication III, 2012

Image simulation for automatic license plate recognition.

Raja Bala, Yonghui Zhao, Aaron Burry, Vladimir Kozitsky, Claude Fillion, Craig Saunders, José A. Rodríguez-Serrano

Proceedings of the Visual Information Processing and Communication III, 2012