Aiming at the problem that a single correlation filter model is sensitive to complex scenes such as background interference and occlusion,a tracking algorithm based on multi-time-space perception and instance-specific...Aiming at the problem that a single correlation filter model is sensitive to complex scenes such as background interference and occlusion,a tracking algorithm based on multi-time-space perception and instance-specific proposals is proposed to optimize the mathematical model of the correlation filter(CF).Firstly,according to the consistency of the changes between the object frames and the filter frames,the mask matrix is introduced into the objective function of the filter,so as to extract the spatio-temporal information of the object with background awareness.Secondly,the object function of multi-feature fusion is constructed for the object location,which is optimized by the Lagrange method and solved by closed iteration.In the process of filter optimization,the constraints term of time-space perception is designed to enhance the learning ability of the CF to optimize the final track-ing results.Finally,when the tracking results fluctuate,the boundary suppres-sion factor is introduced into the instance-specific proposals to reduce the risk of model drift effectively.The accuracy and success rate of the proposed algorithm are verified by simulation analysis on two popular benchmarks,the object tracking benchmark 2015(OTB2015)and the temple color 128(TC-128).Extensive experimental results illustrate that the optimized appearance model of the proposed algorithm is effective.The distance precision rate and overlap success rate of the proposed algorithm are 0.756 and 0.656 on the OTB2015 benchmark,which are better than the results of other competing algorithms.The results of this study can solve the problem of real-time object tracking in the real traffic environment and provide a specific reference for the detection of traffic abnormalities.展开更多
目的对陕西药材标准收载的部分法定药用植物中文名和学名提出订正意见。方法依据《中国植物志》《Flora of China》、iPlant植物智等权威数据库和最新分类学成果,厘清现行陕西药材标准中部分法定药用植物中文名和学名存在问题,并进行分...目的对陕西药材标准收载的部分法定药用植物中文名和学名提出订正意见。方法依据《中国植物志》《Flora of China》、iPlant植物智等权威数据库和最新分类学成果,厘清现行陕西药材标准中部分法定药用植物中文名和学名存在问题,并进行分析与归纳。结果陕西法定药用植物中文名和学名主要存在定名人不规范或不正确、使用异名、拼写错误和名称混用等问题,涉及药用植物共276种(下),药材229种。结论针对前述问题提出了规范中文名和学名的建议,提倡推行使用法定药用植物中文正名、第一中文别名、接受名和学名第一异名的概念,为陕西药材标准的修订提供参考,进一步促进相关学科领域的科学发展。展开更多
基金funded by the Basic Science Major Foundation(Natural Science)of the Jiangsu Higher Education Institutions of China(Grant:22KJA520012)the Xuzhou Science and Technology Plan Project(Grant:KC21303,KC22305)the sixth“333 project”of Jiangsu Province.
文摘Aiming at the problem that a single correlation filter model is sensitive to complex scenes such as background interference and occlusion,a tracking algorithm based on multi-time-space perception and instance-specific proposals is proposed to optimize the mathematical model of the correlation filter(CF).Firstly,according to the consistency of the changes between the object frames and the filter frames,the mask matrix is introduced into the objective function of the filter,so as to extract the spatio-temporal information of the object with background awareness.Secondly,the object function of multi-feature fusion is constructed for the object location,which is optimized by the Lagrange method and solved by closed iteration.In the process of filter optimization,the constraints term of time-space perception is designed to enhance the learning ability of the CF to optimize the final track-ing results.Finally,when the tracking results fluctuate,the boundary suppres-sion factor is introduced into the instance-specific proposals to reduce the risk of model drift effectively.The accuracy and success rate of the proposed algorithm are verified by simulation analysis on two popular benchmarks,the object tracking benchmark 2015(OTB2015)and the temple color 128(TC-128).Extensive experimental results illustrate that the optimized appearance model of the proposed algorithm is effective.The distance precision rate and overlap success rate of the proposed algorithm are 0.756 and 0.656 on the OTB2015 benchmark,which are better than the results of other competing algorithms.The results of this study can solve the problem of real-time object tracking in the real traffic environment and provide a specific reference for the detection of traffic abnormalities.
文摘目的对陕西药材标准收载的部分法定药用植物中文名和学名提出订正意见。方法依据《中国植物志》《Flora of China》、iPlant植物智等权威数据库和最新分类学成果,厘清现行陕西药材标准中部分法定药用植物中文名和学名存在问题,并进行分析与归纳。结果陕西法定药用植物中文名和学名主要存在定名人不规范或不正确、使用异名、拼写错误和名称混用等问题,涉及药用植物共276种(下),药材229种。结论针对前述问题提出了规范中文名和学名的建议,提倡推行使用法定药用植物中文正名、第一中文别名、接受名和学名第一异名的概念,为陕西药材标准的修订提供参考,进一步促进相关学科领域的科学发展。
