Towards vehicle counting using image processing: a case study in Danang city
5 years ago
Authors:
Đoàn Phước Miền,Tống Thị Kim Quy,Trần Thế Vũ,Huỳnh Hữu Hưng
Publication date:
10 / 10 / 2018
Name of Publishers:
Abstract:
Traffic congestion is a major issue that needs to be addressed thoroughly for all major cities including
Danang. In order to coordinate traffic flow, it is necessary first to know the average number of vehicles involved in the traffic in the
city's main roads. In this paper we propose a methodology for vehicle counting. The paper focuses on vehicle detection based on the
subtraction method associated with blob detection. Different methods are used to compare the results in the most objective way. The
results are as follows: (1) Compare the performance of PBAS with two algorithms is Static Frame Difference and Frame Difference,
(2) Evaluate the effect of parameters in the subtraction algorithm to the identification process, (3) Evaluate the system with different
input videos.