Computer-Vision-Based Surveillance of Intelligent Transportation Systems

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Neto, J (Author) Other; Santos, D (Author) Other; Rosaldo J. F. Rossetti (Author) FEUP

Conference proceedings International

Title: Iberian Conference on Information Systems and Technologies, CISTI

Pages: 1-5

13th Iberian Conference on Information Systems and Technologies, CISTI 2018

13 June 2018 through 16 June 2018

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 3 Citations

Other information

Authenticus ID: P-00P-1GR

DOI: 10.23919/cisti.2018.8399240

Abstract (EN): This project focuses on the development of a video analytics processor for detection and classification of vehicles on motorways. The motivation for this project comes from the need to have a plug-and-play solution to analyse traffic, as most of the existing solutions require training some sort of structure to recognise objects on the scene. Such a module can work as a data input for traffic management systems in addition to more traditional sensors such as the magnetic loop detectors. We also present a novel approach to the vehicle classification problem based on the use of a fuzzy set. To illustrate the proposed approach, the detection and classification algorithms implemented were tested with different cameras in different scenarios, showing promising results.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5