首页|Hebei University of Water Resources and Electric Engineering Researchers Discuss Research in Intelligent Systems (Big data intelligent tourism management platfo rm design based on abnormal behavior identification)
Hebei University of Water Resources and Electric Engineering Researchers Discuss Research in Intelligent Systems (Big data intelligent tourism management platfo rm design based on abnormal behavior identification)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on intelligent systems are presented in a new report.According to news reporting originating from Cangzhou,People's Republic of China,by NewsRx correspondents,research stated,"To ens ure the safe and stable operation of tourist attractions,a big data intelligent tourism management platform based on abnormal behavior identification is propos ed." Funders for this research include Department of Education of Hebei Province; Lan zhou Science And Technology Bureau.The news reporters obtained a quote from the research from Hebei University of W ater Resources and Electric Engineering:"A scenic area abnormal behavior recogn ition system is constructed by combining a climbing and painting behavior recogn ition method based on a regional convolutional 3D network model,as well as a tr ajectory analysis method based on object detection and tracking.Experimental da ta show that compared to the Two Stream model,the accuracy and recall of the 3D network model based on regional convolution are improved by 41.18 % and 34.85 %,respectively.The average accuracy of the proposed tra jectory analysis method is 93.71 %.Compared with the track analysi s method based on Hidden Markov model and the method based on sparse optical flo w tracking,the accuracy of the proposed method is improved by 3.43 % and 1.71 %,respectively.In the real-time multi person abnormal be havior recognition system for tourist attractions,the number of frames per seco nd for each behavior analysis is greater than 40."
Hebei University of Water Resources and Electric EngineeringCangzhouPeople's Republic of ChinaAsiaIntelligent Sy stemsMachine LearningTourismTravel
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