TY  - JOUR
T1  - Traffic Surveillance System for Vehicles Counting and Speed Estimation
AU - Al-Shimaysawee, Laith A. H. AU - Al-Rikabi, Hussein M. H. AU - Aldabbagh, Ali H. A. 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 1
SP  - 211
EP  - 218
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.211.218
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.211.218
KW  - Vehicles counting
KW  -speed measurement
KW  -traffic surveillance
KW  -motion detection
KW  -vehicle detection
KW  -good results
AB  - 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).
ER  -