{"title":"基于视频处理的违章停车检测系统","authors":"Saifa Khantasak, N. Jindapetch, Pakpoom Hoyingcharoen, Kanadit Chetpattananondh, Masami Ikura, Surachate Chumpol","doi":"10.1109/ICSIMA.2018.8688790","DOIUrl":null,"url":null,"abstract":"This paper presents a parking violation detection system based on video processing. The proposed system captures and processes the images from a parking violation area, and also identifies the case of no vehicles in the parking area. In this paper, a camera is used as a detector to take videos to determine the violation. Moving vehicles are also detected. The process for this is based on the background subtraction method. The tests of the proposed algorithm are conducted around the Faculty of Engineering at Prince of Songkla University. With the proposed technique in this system module, we can well detect the vehicles which violate the parking zone regulations.","PeriodicalId":222751,"journal":{"name":"2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Parking Violation Detection System based on Video processing\",\"authors\":\"Saifa Khantasak, N. Jindapetch, Pakpoom Hoyingcharoen, Kanadit Chetpattananondh, Masami Ikura, Surachate Chumpol\",\"doi\":\"10.1109/ICSIMA.2018.8688790\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a parking violation detection system based on video processing. The proposed system captures and processes the images from a parking violation area, and also identifies the case of no vehicles in the parking area. In this paper, a camera is used as a detector to take videos to determine the violation. Moving vehicles are also detected. The process for this is based on the background subtraction method. The tests of the proposed algorithm are conducted around the Faculty of Engineering at Prince of Songkla University. With the proposed technique in this system module, we can well detect the vehicles which violate the parking zone regulations.\",\"PeriodicalId\":222751,\"journal\":{\"name\":\"2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSIMA.2018.8688790\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIMA.2018.8688790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parking Violation Detection System based on Video processing
This paper presents a parking violation detection system based on video processing. The proposed system captures and processes the images from a parking violation area, and also identifies the case of no vehicles in the parking area. In this paper, a camera is used as a detector to take videos to determine the violation. Moving vehicles are also detected. The process for this is based on the background subtraction method. The tests of the proposed algorithm are conducted around the Faculty of Engineering at Prince of Songkla University. With the proposed technique in this system module, we can well detect the vehicles which violate the parking zone regulations.