@article{MAKHILLJEAS201914117312,
    title = {Traffic Surveillance System for Vehicles Counting and Speed Estimation},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {1},
    pages = {211-218},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.211.218},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.211.218},
    author = {Laith A. H.,Hussein M. H. and},
    keywords = {Vehicles counting,speed measurement,traffic surveillance,motion detection,vehicle detection,good results},
    abstract = {In this study, we present an algorithm to count vehicles and estimate their speed using cameras
mounted on roads. The first step in the proposed algorithm is motion detection and then vehicles are detected
after some threshold, morphological and contour operations. After detection process, vehicles can be counted
and their speed can be measured. The vehicles counting part of the proposed algorithm was tested using 6 data
sets which show different times and weather conditions and compared with the manual counting which is
considered as ground truth. The vehicle speed measurement part of the proposed system was tested using 5
videos from five datasets available online. These data sets have a ground truth file for the actual speed of each
vehicle. The actual speed was recorded by a high precision speed meter. The measured speeds were compared
with the recorded ground truth values. Both parts of our system showed very good results. The overall
counting accuracy was (90.8%) and the accuracy of speeds measurements that is within the acceptable error
interval was (88.21%). The speed measurement was considered acceptable if it is within the (-5, +5 km/h).}
    }