期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
Performance evaluation for multi-target tracking with temporal dimension specifics
1
作者 Zhenzhen SU Hongbing JI +1 位作者 Cong TIAN Yongquan ZHANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2024年第2期446-458,共13页
With the great development of Multi-Target Tracking(MTT)technologies,many MTT algorithms have been proposed with their own advantages and disadvantages.Due to the fact that requirements to MTT algorithms vary from the... With the great development of Multi-Target Tracking(MTT)technologies,many MTT algorithms have been proposed with their own advantages and disadvantages.Due to the fact that requirements to MTT algorithms vary from the application scenarios,performance evaluation is significant to select an appropriate MTT algorithm for the specific application scenario.In this paper,we propose a performance evaluation method on the sets of trajectories with temporal dimension specifics to compare the estimated trajectories with the true trajectories.The proposed method evaluates the estimate results of an MTT algorithm in terms of tracking accuracy,continuity and clarity.Furthermore,its computation is based on a multi-dimensional assignment problem,which is formulated as a computable form using linear programming.To enhance the influence of recent estimated states of the trajectories in the evaluation,an attention function is used to reweight the trajectory errors at different time steps.Finally,simulation results show that the proposed performance evaluation method is able to evaluate many aspects of the MTT algorithms.These evaluations are worthy for selecting suitable MTT algorithms in different application scenarios. 展开更多
关键词 Multi-target tracking temporal dimension specifics Performance evaluation Random finite sets Linear programming
原文传递
On the inverse scattering transform in two spatial and one temporal dimensions 被引量:1
2
作者 Durrani I R (Centre of Excellence in Solid State Physics, University of the Punjab, Lahore-54590, Pakistan) Bhatti Z R (Department of Mathematics, Govt. College of Science, Wahdat Road, Lahore-54570, Pakistan) Asghar S (Department of Mathematics, Quaid-i 《Chinese Journal of Acoustics》 2000年第4期326-338,共13页
Some results and developments on the extension of the inverse scattering transform to solve non-linear evolution equations in one time and two space dimensions are described.
关键词 On the inverse scattering transform in two spatial and one temporal dimensions
原文传递
成人大脑颞平面的三维重建及三维可视化 被引量:1
3
作者 李秀辉 王震寰 +3 位作者 沈龙山 李成 李丹辉 凡雪霖 《蚌埠医学院学报》 CAS 2018年第4期421-424,共4页
目的:建立健康成人活体MR图像的大脑颞平面三维可视化模型,探讨颞平面的解剖结构特点。方法:选取1名健康成年男性颅脑薄层MR扫描数据并导入Able Software 3D-Doctor软件,用手动分割方法建立三维可视化模型并对相关结构赋予不同标记颜色... 目的:建立健康成人活体MR图像的大脑颞平面三维可视化模型,探讨颞平面的解剖结构特点。方法:选取1名健康成年男性颅脑薄层MR扫描数据并导入Able Software 3D-Doctor软件,用手动分割方法建立三维可视化模型并对相关结构赋予不同标记颜色。结果:成功构建大脑颞平面的三维可视化模式图,成功显示大脑颞平面、侧脑室及脑表面的立体形态以及与周围脑组织的结构关系。结论:大脑颞平面三维可视化模型的建立对颞平面解剖结构的识别和脑立体定向手术设计有重要价值。 展开更多
关键词 颞平面 MR 图像分割 三维可视化
下载PDF
Changes in the size of China’s population over 70 years
4
作者 Ping Sun Feng Zhang Deting Yin 《China Population and Development Studies》 2020年第1期160-171,共12页
Based on the data from China Statistical Yearbooks and China’s population cen-suses,this paper provides a systematic introduction to changes in the size of China’s population over the 70 years since the founding of ... Based on the data from China Statistical Yearbooks and China’s population cen-suses,this paper provides a systematic introduction to changes in the size of China’s population over the 70 years since the founding of the People’s Republic of China(PRC)in 1949.It analyzes population size and crude birth rate,crude death rate,natural increase rate and total fertility rate,all of which have an impact on popula-tion size in both the temporal and spatial dimensions.The paper divides China into sluggish Average Annual Growth Rate(AAGR)regions,recovering AAGR regions,and thriving AAGR regions.Challenges that may result from China’s demographic changes and strategies to address those challenges are discussed. 展开更多
关键词 Changes in population size temporal dimension Spatial dimension
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部