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A multi-target tracking algorithm based on Gaussian mixture model 被引量:4
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作者 SUN Lili CAO Yunhe +1 位作者 WU Wenhua LIU Yutao 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2020年第3期482-487,共6页
Since the joint probabilistic data association(JPDA)algorithm results in calculation explosion with the increasing number of targets,a multi-target tracking algorithm based on Gaussian mixture model(GMM)clustering is ... Since the joint probabilistic data association(JPDA)algorithm results in calculation explosion with the increasing number of targets,a multi-target tracking algorithm based on Gaussian mixture model(GMM)clustering is proposed.The algorithm is used to cluster the measurements,and the association matrix between measurements and tracks is constructed by the posterior probability.Compared with the traditional data association algorithm,this algorithm has better tracking performance and less computational complexity.Simulation results demonstrate the effectiveness of the proposed algorithm. 展开更多
关键词 multiple-target tracking Gaussian mixture model(GMM) data association expectation maximization(EM)algorithm
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A framework for real-time vehicle tracking in large-scale roadside sensor networks
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作者 Yanbin Liu Bolin Gao +2 位作者 Peikun Lin Guangyu Tian Keqiang Li 《Green Energy and Intelligent Transportation》 2025年第6期89-98,共10页
Vehicle-Road-Cloud Integration system(VRCIS)requires high-precision vehicle positioning and tracking,with very low system latency,which is a difficult task given the quantity and quality of data.To this end,a distribu... Vehicle-Road-Cloud Integration system(VRCIS)requires high-precision vehicle positioning and tracking,with very low system latency,which is a difficult task given the quantity and quality of data.To this end,a distributed computing framework using multi-access edge computing(MEC)devices is proposed in this paper.To process trajectory data(including preprocessing,calibration,multi-sensor trajectory matching,and trajectory prediction),as well as integrate machine learning algorithms to improve the accuracy of trajectory prediction,especially for complex and diverse driving scenarios environmental conditions,a framework is designed.In addition,to conduct a comprehensive evaluation of the overall performance of trajectory tracking,factors such as trajectory smoothness and velocity consistency—components of our novel evaluation metrics—are considered.Experiments show that the framework can continuously track tens of thousands of vehicles on highway,with average longitudinal and lateral errors of 2.14 and 0.84 m respectively,with average speed error of 1.91 kph.The experiments on large-scale road networks with 1,777 sensors are implemented,with continuous multi-vehicle tracking over 157 km of highway,and establishing superior performance compared to existing methods.Furthermore,processing latency remained below 340 ms,demonstrating the potential of this framework to enhance driver experience,improve road safety and efficiency. 展开更多
关键词 Vehicle-Road-Cloud Integration System (VRCIS) Vehicle Trajectory multiple-target Tracking Multi-Access Edge Computing(MEC)
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Learning from berberine: Treating chronic diseases through multiple targets 被引量:38
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作者 YAO Jing KONG WeiJia JIANG JianDong 《Science China(Life Sciences)》 SCIE CAS CSCD 2015年第9期854-859,共6页
Although advances have been made, chemotherapy for chronic, multifactorial diseases such as cancers, Alzheimer's disease, cardiovascular diseases and diabetes is far from satisfactory. Agents with different mechan... Although advances have been made, chemotherapy for chronic, multifactorial diseases such as cancers, Alzheimer's disease, cardiovascular diseases and diabetes is far from satisfactory. Agents with different mechanisms of action are required. The botanic compound berberine(BBR) has been used as an over-the-counter antibacterial for diarrhea in China for many decades. Recent clinical studies have shown that BBR may be therapeutic in various types of chronic diseases. This review addresses BBR's molecular mechanisms of action and clinical efficacy and safety in patients with type 2 diabetes, hyperlipidemia, heart diseases, cancers and inflammation. One of the advantages of BBR is its multiple-target effects in each of these diseases. The therapeutic efficacy of BBR may reflect a synergistic regulation of these targets, resulting in a comprehensive effect against these various chronic disorders. The safety of BBR may be due to its harmonious distribution into those targets. Although the single-target concept is still the principle for drug discovery and research, this review emphasizes the concept of a multiple target strategy, which may be an important approach toward the successful treatment of multifactorial chronic diseases. 展开更多
关键词 chronic multifactorial diseases drug treatment BERBERINE multiple-target
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