王田 - 北京航空航天大学 - 自动化科学与电气工程学院

个人简介

教育经历 2002.9 -- 2003.6 西安交通大学少年班 2003.9 -- 2007.6 西安交通大学控制科学与工程大学本科毕业学士学位 2007.9 -- 2010.6 西安交通大学控制科学与工程硕士研究生毕业硕士学位 2010.9 -- 2014.5 法国特鲁瓦技术大学控制科学与工程博士研究生毕业博士学位工作经历 2014.7 -- 至今北京航空航天大学自动化科学与电气工程学院系主任助理荣誉及奖励北京市科技新星,2022-12-30 北京航空航天大学青年拔尖人才,2018-06-30 北京航空航天大学教学成果一等奖,2018-05-01 北京市教学成果二等奖,2018-05-01 北京航空航天大学教学成果一等奖,2016-10-01 北京航空航天大学教学成果三等奖,2016-10-01

研究领域

计算机视觉，模式识别，图像处理，机器学习，类脑计算和数据挖掘等理论与实验研究。研究降质图像的恢复，图像的去噪去模糊，视频图像中运动信息的表征理论，医学图像分割与识别，工业生产线零部件检测等。利用机器学习，类脑计算中的相关方法，对这些数据进行挖掘，用于智能都市视频监控安全系统中的人群或者个人的行为分析，以及运动目标的识别与跟踪，遥感图像目标检测等。并探索此类技术与搭载高速处理类脑芯片的监控平台或机器人等硬件设备相结合的实际应用前景。

近期论文

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Online Detection of Action Start via Soft Computing for Smart City:IEEE Transactions on Industrial Informatics RecapNet Action Proposal Generation Mimicking Human Cognitive Process.[期刊]:IEEE Transactions on Cybernetics Generative Neural Networks for Anomaly Detection in Crowded Scenes.[期刊]:IEEE Transactions on Information Forensics and Security,2019,5(14):1390-1399 Detection of Abnormal Visual Events via Global Optical Flow Orientation Histogram.[期刊]:IEEE Transactions on Information Forensics and Security,2014,9(6):988-998 Multiple Kernelized Correlation Filters (MKCF) for Extended Object Tracking Using X-band Marine Radar Data.[期刊]:IEEE Transactions on Signal Processing Machine Learning Approaches For Thermoelectric Materials Research:Advanced Functional Materials A Fast and Robust Convolutional Neural Network based Defect Detection Model in Product Quality Control (ESI高被引论文):International Journal of Advanced Manufacturing Technology,2017,5(8):1-7 AED-Net: An Abnormal Event Detection Network. Engineering (Q1):Engineering Auto-sorting System towards Smart Factory based on Deep Learning for Image Segmentation (Q1):IEEE Sensors Journal,2018,18(20):8493-8501 Data-driven prognostic method based on self-supervised learning approaches for fault detection (Q1):Journal of Intelligent Manufacturing,2018:1-10 Internal Transfer Learning for Improving Performance in Human Action Recognition for Small Datasets (Q1):IEEE Access,2017,5(1):17627-17633 Distributed Harmonic Form Computation:IEEE Signal Processing Letters,2018,25(8):1241-1245 Abnormal Event Detection via the Analysis of Multi-frame Optical Flow Information:Frontiers of Computer Science,2018:1-11 Abnormal global and local event detection in compressive sensing domain:AIP Advances,2018,8(5):1-10 Hierarchical graphical-based human pose estimation via local multi-resolution convolutional neural network:AIP Advances,2018:1-13 A Reinforcement Learning Approach for UAV Target Searching and Tracking:Multimedia Tools and Applications,2018:1-21 Abnormal Event Detection via Covariance Matrix for Optical Flow Based Feature:Multimedia Tools and Applications,2017,77:17375-17395 An enhancement method for X-ray image via fuzzy noise removal and homomorphic filtering:Neurocomputing,2016:56-64 Abnormal event detection via multikernel learning for distributed camera networks:International Journal of Distributed Sensor Networks,2015,11 Histogram of Maximal Optical Flow Projection for Abnormal Events Detection in Crowded Scene:International Journal of Distributed Sensor Networks,2015 Human Pose Estimation with Multiple Mixture Parts Model Based on Upper Body Categories:Journal of Electronic Imaging,2015 Detection of Abnormal Events via Optical Flow Feature Analysis:Sensors,2015 Online least squares one-class support vector machines based abnormal visual event detection:Sensors,2013(12)