{"title":"A semiautomatic method for pedestrian ground truth generation in thermal infrared on-board videos","authors":"Xinyan He, Shaowu Peng, Qiong Liu","doi":"10.1109/IST.2015.7294545","DOIUrl":"https://doi.org/10.1109/IST.2015.7294545","url":null,"abstract":"Currently, pedestrian detection and tracking algorithms of Thermal Infrared (TIR) on-board videos encounter lack of comprehensive pedestrian datasets for benchmarking. The generation of ground truth is a tedious and error-prone task in the process of creating the dataset of annotated videos. This paper puts forward a novel semiautomatic video annotation method to facilitate annotating pedestrians in TIR on-board videos. The proposed method consists of two phases. In the first phase we learn the pedestrian appearance models online, then in the second phase we use the learned models to automatically annotate the pedestrian in the other frames. We present a video annotation tool to verify the effectiveness and reliability of our method. A comparison between our tool and the state of the art of onboard video annotating tools was performed, which showed how our annotation tool provides a high ground truth quality with shorter annotation time when annotating pedestrians in TIR on-board videos with bounding boxes.","PeriodicalId":186466,"journal":{"name":"2015 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132306188","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}
{"title":"Characteristics of electromagnetic holographic measurement sensitivity field for flow imaging","authors":"Kuo Zhang, Xiling Wu, Jingfu Yan, Jiatie Cai","doi":"10.1109/IST.2015.7294539","DOIUrl":"https://doi.org/10.1109/IST.2015.7294539","url":null,"abstract":"The flow imaging procedure of electromagnetic holographic measurement requires an adequate establishment of sensitivity field. Currently, the widely adopted Geselowitz sensitivity field for most of the electric/magnetic imaging is not applicable in the flow imaging of electromagnetic holographic measurement. In this paper, in accordance with the mathematical basis of tomography - Radon transform and its inverse transform, through a combination of the physical meaning of sensitivity field and the characteristics of electromagnetic holographic measurement approach, a holographic measurement sensitivity field is established through the gradient of electric potential. Through the numerical test by Finite Element Method, it shows that the new sensitivity field is beneficial to overcome the “soft field effect” through the validation of electromagnetic holographic measurement data, it shows that the response obtained by the new sensitivity field is in better agreement with the theoretical, thus to indicate that the holographic measurement sensitivity field established in this paper is applicable to flow imaging procedure of electromagnetic holographic measurement.","PeriodicalId":186466,"journal":{"name":"2015 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114342281","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}