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浏览/检索结果: 共4条，第1-4条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Challenges to the Primary Jurisdiction of Flag States Over Ships 期刊论文 OCEAN DEVELOPMENT AND INTERNATIONAL LAW, 2018, 卷号: 49, 期号: 1, 页码: 85-102 作者:  Yu, Yaodong;  Zhao, Yue;  Chang, Yen-Chiang 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/11 coastal state  flag state  port state  primary jurisdiction   国际法下对抗IUU渔捕行为之最新发展:FAO船籍国效能自愿性指导方针 期刊论文 2015 高世明; 李永隆 收藏  |  浏览/下载：62/0  |  提交时间：2016/05/17 国际法  IUU  渔捕行为  船籍国效能  自愿性指导方针  IUU fishing  flag state performance  high seas fisheries  soft law  Port State Measures Agreement   Flag choice and Port State Control inspections - Empirical evidence using a simultaneous model 期刊论文 TRANSPORT POLICY, 2014, 卷号: 35, 页码: 350-357 作者:  Fan, Lixian[1];  Luo, Meifeng[2];  Yin, Jinbo[3] 收藏  |  浏览/下载：9/0  |  提交时间：2019/04/30 Flag choice  Port State Control inspection  Simultaneous equation  Endogeneity  Maritime policy   Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE) 会议论文 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Dong Y.; Chuan W. 收藏  |  浏览/下载：13/0  |  提交时间：2013/03/25 In Video tracking  detection and tracking usually need two algorithms. The process is complex and need much time which detection and tracking are. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance flag and of location. Particle filter-based method implements detection and tracking at one time. In order to reduce process time and think of pixel position in tracking field  feature histogram of luminance is as observe vector and used posterior estimate. In this paper  the luminance component is derived and target is recognized and tracked through image processor based on DSP in order to implementing real-time. The experimental results confirm that method can detect and track the object in real-time successfully when the number of particles is 160. The method is robust for rolling  scale and partial occlusion. 2010 IEEE.