DeepAI AI Chat
Log In Sign Up

Vehicles Recognition Using Fuzzy Descriptors of Image Segments

by   Bartlomiej Placzek, et al.
Politechnika Śląska

In this paper a vision-based vehicles recognition method is presented. Proposed method uses fuzzy description of image segments for automatic recognition of vehicles recorded in image data. The description takes into account selected geometrical properties and shape coefficients determined for segments of reference image (vehicle model). The proposed method was implemented using reasoning system with fuzzy rules. A vehicles recognition algorithm was developed based on the fuzzy rules describing shape and arrangement of the image segments that correspond to visible parts of a vehicle. An extension of the algorithm with set of fuzzy rules defined for different reference images (and various vehicle shapes) enables vehicles classification in traffic scenes. The devised method is suitable for application in video sensors for road traffic control and surveillance systems.


A real time vehicles detection algorithm for vision based sensors

A vehicle detection plays an important role in the traffic control at si...

An Intelligent Monitoring System of Vehicles on Highway Traffic

Vehicle speed monitoring and management of highways is the critical prob...

A Deep Neuro-Fuzzy Network for Image Classification

The combination of neural network and fuzzy systems into neuro-fuzzy sys...

Performance Evaluation of Road Traffic Control Using a Fuzzy Cellular Model

In this paper a method is proposed for performance evaluation of road tr...

A dataset for benchmarking vision-based localization at intersections

In this report we present the work performed in order to build a dataset...

Proposal for Automatic License and Number Plate Recognition System for Vehicle Identification

In this paper, we propose an automatic and mechanized license and number...

Robust Fuzzy corner detector

Reliable corner detection is an important task in determining the shape ...