@article{MAKHILLIJSSCEA202013428796,
    title = {Images Analysis for Classification and Counting of Vehicles on Roads using OpenCV},
    journal = {International Journal of System Signal Control and Engineering Application},
    volume = {13},
    number = {4},
    pages = {95-98},
    year = {2020},
    issn = {1997-5422},
    doi = {ijssceapp.2020.95.98},
    url = {https://makhillpublications.co/view-article.php?issn=1997-5422&doi=ijssceapp.2020.95.98},
    author = {Nilesh and},
    keywords = {Computer vision,object tracking,OpenCV,vehicle detection,application},
    abstract = {As web and digital cameras have become
cheaper and wide-spread, the number of applications
using vision techniques has increased significantly.
Traffic detection (vehicles) and classification is one such
application based on vision system. In this study, we
propose a system for detection, classification and counting
of vehicles on highway or expressway without explicit
camera calibration. Frames taken from camera are
processed to detect moving object on a logical line which
enables counting of vehicles. Our experiments on several
real traffic video sequences demonstrate good results for
our foreground object detection, tracking, and classifying
vehicles as light vehicles, heavy vehicles and
motorcycles.}
    }