Open AccessDetection of Moving Vehicles on Highway using Fuzzy Logic for Smart Surveillance System
Author(s) -
Ajay Suria
Publication year - 2021
Publication title -
türk bilgisayar ve matematik eğitimi dergisi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 3
ISSN - 1309-4653
DOI - 10.17762/turcomat.v12i1s.1888
Subject(s) - computer science , computer vision , fuzzy logic , artificial intelligence , minimum bounding box , pixel , object (grammar) , track (disk drive) , set (abstract data type) , tracking (education) , dimension (graph theory) , image (mathematics) , mathematics , psychology , pedagogy , programming language , operating system , pure mathematics
The computer vision incorporates a prominent performance in developing models for medical, security and lot more concepts and we need to deal with detecting and tracking the moving objectsuch as moving vehicle or person. Various challenges are available due to environmental issues, illumination variation, or fast motion etc. This paper work has developed a fuzzy logic based method for identifying the moving vehicles though bounding boxas depicted in the green colour. The paper depictsa fuzzy based method to detect and track the object around the location until the specific secured dimension of the device. The extended recognition (EIR) is the proposed method which works on the automatic fuzzy set creation.The EIR consists of the pixels of the surroundings and recognize them with the predefined inputs we have with the EIR algorithm in the repository. This methodology successfully identified and detects vehicles. It can track the instances within that visible region and this is working as a human eye mechanism.