TY - GEN
T1 - A multi-classifier image based vacant parking detection system
AU - Liu, Junzhao
AU - Mohandes, Mohamed
AU - Deriche, Mohamed
PY - 2013
Y1 - 2013
N2 - With the rapid expansion of major cities, the tremendous increase in the number of vehicles, and the construction of huge buildings and parking areas, there is a need to develop smart parking systems to assist drivers finding the nearest available parking spots. Such systems have witnessed substantial research efforts in developed countries. There are mainly four categories of car parking management systems: counter-based, wired-sensor-based, wireless-sensor-based, and image-based. In this paper, we develop, implement, and test an image-based system for the detection of vacant spaces in a parking area. Following an initial edge detection stage, we combine edge density, closed contour density, and foreground/background pixel ratio, at every car parking spot, to identify whether a car is present or not. Combining the features above results in a robust vacant space detection system at low computational cost.
AB - With the rapid expansion of major cities, the tremendous increase in the number of vehicles, and the construction of huge buildings and parking areas, there is a need to develop smart parking systems to assist drivers finding the nearest available parking spots. Such systems have witnessed substantial research efforts in developed countries. There are mainly four categories of car parking management systems: counter-based, wired-sensor-based, wireless-sensor-based, and image-based. In this paper, we develop, implement, and test an image-based system for the detection of vacant spaces in a parking area. Following an initial edge detection stage, we combine edge density, closed contour density, and foreground/background pixel ratio, at every car parking spot, to identify whether a car is present or not. Combining the features above results in a robust vacant space detection system at low computational cost.
KW - Boundary Features
KW - Edge Detection
KW - Foreground and Background Method
KW - Image Processing
KW - Smart Parking
KW - Vacant Parking Space Detection
UR - https://www.scopus.com/pages/publications/84901471941
U2 - 10.1109/ICECS.2013.6815565
DO - 10.1109/ICECS.2013.6815565
M3 - Conference contribution
AN - SCOPUS:84901471941
SN - 9781479924523
T3 - Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
SP - 933
EP - 936
BT - 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
Y2 - 8 December 2013 through 11 December 2013
ER -