{"title":"FLANN: Fast approximate nearest neighbour search algorithm for elucidating human-wildlife conflicts in forest areas","authors":"D. Suju, Hancy Jose","doi":"10.1109/ICSCN.2017.8085676","DOIUrl":null,"url":null,"abstract":"Elephant accidents have been an increasing phenomenon in recent years. To mitigate these casualties, we propose a system Flann Based Matcher and FLANN (Fast Approximate Nearest Neighbor Search Library) using image processing to monitor the path of elephant movements. This involves the following functionalities 1. Monitoring elephant movement over the track 2. Alerting the nearby railway station, the locomotive pilot and the forest range officer if any such movement is detected Monitoring involves elephant detection using image processing by applying the techniques of background subtraction and foreground enhancement. The result shows significant improvement in detecting and preventing elephant accidents compared to the existing system (without FLANN).","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCN.2017.8085676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
Elephant accidents have been an increasing phenomenon in recent years. To mitigate these casualties, we propose a system Flann Based Matcher and FLANN (Fast Approximate Nearest Neighbor Search Library) using image processing to monitor the path of elephant movements. This involves the following functionalities 1. Monitoring elephant movement over the track 2. Alerting the nearby railway station, the locomotive pilot and the forest range officer if any such movement is detected Monitoring involves elephant detection using image processing by applying the techniques of background subtraction and foreground enhancement. The result shows significant improvement in detecting and preventing elephant accidents compared to the existing system (without FLANN).