An Algorithm for Parking Lot Occupation Detection

Abstract

This paper presents unsupervised vision-based system for parking lot occupancy detection. The proposed method exhibit low computation complexity and use just a few frames per minute. Method is based on three main processing stages. In the first section, raw image acquired by camera system is preprocessed. Shadows in the image are significantly attenuated or completely removed. The image distortion is corrected subsequently. In the following step optimal correspondences between one or more stationary cameras and visible parking places are established. During this process occlusions are taken in account. Finally, a parking place status is evaluated. Acquired information about parking lot occupancy can be served to another system, e.g. intelligent transportation system.Experimental results from both artificial and real scenes show promising results even on quite challenging conditions. Nonetheless a scope for improvement of presented method is given.

Trajectory analysis for parking lot vacancy detection system

“…To compare our approach to other implemented methods, we opted for the development of several approaches such as the method presented in [3] and the approach of [19]. The evaluation was based on the database VIRAT and performed within several video sequences of different parking dispositions.…”

Scalable real-time parking lot classification: An evaluation of image features and supervised learning algorithms

“…Although their system has reached a detection rate of 98.7 %, shadows and occlusions caused by adjacent cars are not treated and the processing time is very high (2.7 s per image). Similar to [15], Fabin [16] has presented a segment-based homogeneity measure to handle occlusions by training a weighted map to indicate the image regions that may get occupied by neighboring cars. However, results on validation have not been reported.…”

“…---Lpez Sastre et al [17] ? (-) -Wu et al [18] ---Fabin [16] ? ----Unfortunately, several papers do not report on processing speeds.…”

Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection

“…The management of these car parks is very expensive and in many cases complex, especially in the case of those that have many places such as airports or large commercial areas. Solving this problem using computer vision promises a number of advantages over intrusive sensors like induction loops or other weight-in-motion sensors [1]. In addition, a vision-based system may provide many value-added services, like parking space guidance and video surveillance [2].…”