快速运动目标检测的半监督神经网络训练方法

2018 14th Symposium on Neural Networks and Applications (NEUREL) Pub Date : 2018-11-01 DOI:10.1109/NEUREL.2018.8586986

Igor Sevo

{"title":"快速运动目标检测的半监督神经网络训练方法","authors":"Igor Sevo","doi":"10.1109/NEUREL.2018.8586986","DOIUrl":null,"url":null,"abstract":"A semi-supervised training method for detecting insects in motion without explicit motion stabilization is presented. The algorithm is tested on video recordings of bees with the goal of detecting positions of the insects mid-flight, without preprocessing and with a single neural network, to obtain a heat map of trained bees’ motions in order to detect locations of landmines.","PeriodicalId":371831,"journal":{"name":"2018 14th Symposium on Neural Networks and Applications (NEUREL)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Semi-supervised neural network training method for fast-moving object detection\",\"authors\":\"Igor Sevo\",\"doi\":\"10.1109/NEUREL.2018.8586986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A semi-supervised training method for detecting insects in motion without explicit motion stabilization is presented. The algorithm is tested on video recordings of bees with the goal of detecting positions of the insects mid-flight, without preprocessing and with a single neural network, to obtain a heat map of trained bees’ motions in order to detect locations of landmines.\",\"PeriodicalId\":371831,\"journal\":{\"name\":\"2018 14th Symposium on Neural Networks and Applications (NEUREL)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 14th Symposium on Neural Networks and Applications (NEUREL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEUREL.2018.8586986\",\"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 14th Symposium on Neural Networks and Applications (NEUREL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEUREL.2018.8586986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

提出了一种半监督训练方法，用于检测无明确运动稳定的运动昆虫。该算法在蜜蜂的视频记录上进行了测试，目的是检测昆虫在飞行中的位置，不需要预处理，只需要一个神经网络，就可以获得训练有素的蜜蜂运动的热图，以便探测地雷的位置。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Semi-supervised neural network training method for fast-moving object detection

A semi-supervised training method for detecting insects in motion without explicit motion stabilization is presented. The algorithm is tested on video recordings of bees with the goal of detecting positions of the insects mid-flight, without preprocessing and with a single neural network, to obtain a heat map of trained bees’ motions in order to detect locations of landmines.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 14th Symposium on Neural Networks and Applications (NEUREL)

自引率

0.00%

发文量