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2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE)最新文献

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Image pre-processing detection: Evaluation of Benford's law, spatial and frequency domain feature performance 图像预处理检测:本福德定律的评价，空间和频域特征性能
2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE) Pub Date : 2016-07-06 DOI: 10.1109/SPLIM.2016.7528405
T. Neubert, M. Hildebrandt, J. Dittmann
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引用次数: 2
Background subtraction for patterns of activities in cities 城市活动模式的背景减法
2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE) Pub Date : 2016-07-01 DOI: 10.1109/SPLIM.2016.7528411
Stefanos Astaras, Aristodemos Pnevmatikakis, Z. Tan
{"title":"Background subtraction for patterns of activities in cities","authors":"Stefanos Astaras, Aristodemos Pnevmatikakis, Z. Tan","doi":"10.1109/SPLIM.2016.7528411","DOIUrl":"https://doi.org/10.1109/SPLIM.2016.7528411","url":null,"abstract":"In this paper we learn patterns of activity in open urban spaces and detect activity outliers that represent events of interest. We do so utilising background suppression to flag people as foreground blobs in videos from city surveillance cameras. Since the application domain is challenging, with far-field cameras viewing scenes that vary from completely empty to very crowded, and each person in the crowds being a handful of pixels, we first establish the performance of different background subtraction algorithms using manually annotated scenes. We then apply the best-performing SubSENSE algorithm in off-line videos collected over many days, to learn the activity patterns and detect the events of interest as outliers.","PeriodicalId":297318,"journal":{"name":"2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130097758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unsupervised representation learning of structured radio communication signals 结构化无线电通信信号的无监督表示学习
2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE) Pub Date : 2016-04-24 DOI: 10.1109/SPLIM.2016.7528397
Tim O'Shea, Johnathan Corgan, T. Clancy
{"title":"Unsupervised representation learning of structured radio communication signals","authors":"Tim O'Shea, Johnathan Corgan, T. Clancy","doi":"10.1109/SPLIM.2016.7528397","DOIUrl":"https://doi.org/10.1109/SPLIM.2016.7528397","url":null,"abstract":"We explore unsupervised representation learning of radio communication signals in raw sampled time series representation. We demonstrate that we can learn modulation basis functions using convolutional autoencoders and visually recognize their relationship to the analytic bases used in digital communications. We also propose and evaluate quantitative metrics for quality of encoding using domain relevant performance metrics.","PeriodicalId":297318,"journal":{"name":"2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128424464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 80
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