Image Segmentation and Processing for Efficient Parking Space Analysis

Autor:	Tutika, Chetan Sai, Vallapaneni, Charan, R, Karthik, KP, Bharath, Muthu, N Ruban Rajesh Kumar
Rok vydání:	2018
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	In this paper, we develop a method to detect vacant parking spaces in an environment with unclear segments and contours with the help of MATLAB image processing capabilities. Due to the anomalies present in the parking spaces, such as uneven illumination, distorted slot lines and overlapping of cars. The present-day conventional algorithms have difficulties processing the image for accurate results. The algorithm proposed uses a combination of image pre-processing and false contour detection techniques to improve the detection efficiency. The proposed method also eliminates the need to employ individual sensors to detect a car, instead uses real-time static images to consider a group of slots together, instead of the usual single slot method. This greatly decreases the expenses required to design an efficient parking system. We compare the performance of our algorithm to that of other techniques. These comparisons show that the proposed algorithm can detect the vacancies in the parking spots while ignoring the false data and other distortions. Comment: 6 pages, 2018 International Conference on Informatics Computing in Engineering Systems (ICICES)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1803.04620 Zobrazit plný text záznamu View this record from Arxiv