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Adaptive multiple video sensors fusion based on decentralized Kalman filter and sensor confidence
《Science China(Information Sciences)》2017年第6期129-140,共12页Qingping LI Junping DU Suguo ZHU Liang XU 
supported by National Basic Research Program of China(973 Program)(Grant No.2012CB821206);National Natural Science Foundation of China(Grant Nos.61320106006,61532006,61502042)
The fusion of multiple video sensors provides an effective way to improve the robustness and accuracy of video surveillance systems. In this paper, an adaptive fusion method based on a decentralized Kalman filter(DKF...
关键词:video sensors fusion decentralized Kalman filter target tracking sensor confidence video surveil-lance 
Rejecting Character Recognition Errors Using CNN Based Confidence Estimation被引量:4
《Chinese Journal of Electronics》2016年第3期520-526,共7页LI Pengchao PENG Liangrui WEN Juan 
supported by the National Basic Research Program ofChina(973 Program)(No.2014CB340506);National Natural Science Foundation of China(No.61261130590,No.61032008);Tsinghua National Laboratory for Information Science and Technology(TNList)Cross-discipline Foundation
Although Optical character recognition(OCR) technology has achieved huge progress in recent years, character misrecognition is inevitable. In order to realize high fidelity content of document digitalization,we propos...
关键词:Optical character recognition(OCR) Confidence estimation Convolutional neural networks(CNN) 
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