Name
Title | ||
|---|---|---|
Vacant parking space detector for outdoor parking lot by using surveillance camera and FCM classifier |
Abstract | ||
|---|---|---|
The most prevailing approach now for parking lot vacancy detecting system is to use sensor-based techniques. The main impediments to the camera-based system in applying to parking lots on rooftop and outside building are the glaring sun light and dark shadows in the daytime, and low-light intensity and back-lighting in the nighttime. To date, no camera-based detecting systems for outdoor parking lots have been in practical use. A few engineering firms provide the camera-based system, which is only for underground and indoor parking lots. This paper reports on the new camera based system called ParkLotD for detecting vacancy/occupancy in parking lots. ParkLotD uses a classifier based on fuzzy c-means (FCM) clustering and hyper-parameter tuning by particle swarm optimization (PSO). The test result of the detection error rate for the indoor multi-story parking lot has improved by an order of magnitude compared to the current system based on the edge detection approach. ParkLotD demonstrates high detection performance and enables the camera-based system to achieve the practical use in outdoor parking lots. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/FUZZY.2009.5277099 | FUZZ-IEEE |
Keywords | Field | DocType |
surveillance camera,parking lot,practical use,outdoor parking lot,detection error rate,indoor multi-story parking lot,indoor parking lot,camera-based system,current system,fcm classifier,edge detection approach,parking lot vacancy,vacant parking space detector,support vector machines,data mining,particle swarm optimization,edge detection,error rate,fuzzy set theory | Particle swarm optimization,Computer vision,Parking lot,Edge detection,Computer science,Parking guidance and information,Support vector machine,Word error rate,Artificial intelligence,Cluster analysis,Detector | Conference |
Citations | PageRank | References |
7 | 1.04 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hidetomo Ichihashi | 1 | 370 | 72.85 |
| A. Notsu | 2 | 13 | 1.98 |
| K. Honda | 3 | 7 | 1.04 |
| T. Katada | 4 | 7 | 1.04 |
| M. Fujiyoshi | 5 | 7 | 1.04 |