Usage of optical correlator in video surveillance system for abandoned luggage

This article is focused on new methods of image processing used in modern video surveillance systems. The aim of this article is usage of the latest knowledge in the field of digital signal processing (image and video) and optical correlation in the design and experimental verification of video surveillance system that should detect lost or abandoned luggage.

[1]  B. V. K. Vijaya Kumar,et al.  Correlation Pattern Recognition , 2002 .

[2]  P. Ivaniga,et al.  10 Gbps optical line using EDFA for long distance lines , 2017 .

[3]  Filippo Sorbello,et al.  A neural network based automatic road signs recognizer , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

[4]  Pierre Ambs,et al.  Optical Computing: A 60-Year Adventure , 2010 .

[5]  Zhu Zhongxiang,et al.  Research on Recognition Methods for Traffic Signs , 2008, 2008 Second International Conference on Future Generation Communication and Networking.

[6]  Boguslaw Cyganek,et al.  Circular road signs recognition with soft classifiers , 2007, Integr. Comput. Aided Eng..

[7]  Visvanathan Ramesh,et al.  A system for traffic sign detection, tracking, and recognition using color, shape, and motion information , 2005, IEEE Proceedings. Intelligent Vehicles Symposium, 2005..