Visual object-tracking is a fundamental task applied in many applications of computer vision. Particle filter is one of the techniques which has been widely used in object tracking. Due to the virtue of extendability ...Visual object-tracking is a fundamental task applied in many applications of computer vision. Particle filter is one of the techniques which has been widely used in object tracking. Due to the virtue of extendability and flexibility on both linear and non-linear environments, various particle filter-based trackers have been proposed in the literature. However, the conventional approach cannot handle very large videos efficiently in the current data intensive information age. In this work, a parallelized particle filter is provided in a distributed framework provided by the Hadoop/Map-Reduce infrastructure to tackle object-tracking tasks. The experiments indicate that the proposed algorithm has a better convergence and accuracy as compared to the traditional particle filter. The computational power and the scalability of the proposed particle filter in single object tracking have been enhanced as well.展开更多
With the advent of the era of big data,cloud computing,Internet of things,and other information industries continue to develop.There is an increasing amount of unstructured data such as pictures,audio,and video on the...With the advent of the era of big data,cloud computing,Internet of things,and other information industries continue to develop.There is an increasing amount of unstructured data such as pictures,audio,and video on the Internet.And the distributed object storage system has become the mainstream cloud storage solution.With the increasing number of distributed applications,data security in the distributed object storage system has become the focus.For the distributed object storage system,traditional defenses are means that fix discovered system vulnerabilities and backdoors by patching,or means to modify the corresponding structure and upgrade.However,these two kinds of means are hysteretic and hardly deal with unknown security threats.Based on mimic defense theory,this paper constructs the principle framework of the distributed object storage system and introduces the dynamic redundancy and heterogeneous function in the distributed object storage system architecture,which increases the attack cost,and greatly improves the security and availability of data.展开更多
基于RBAC策略和CORBASec框架,引入对象访问的约束机制,给出了一种CORBA安全访问控制策略模型——GRBAC forCORBA(General Role-Based Access Control for CORBA)及其访问控制与决策过程。该模型在“基于中间件技术的分布嵌入式系统研究...基于RBAC策略和CORBASec框架,引入对象访问的约束机制,给出了一种CORBA安全访问控制策略模型——GRBAC forCORBA(General Role-Based Access Control for CORBA)及其访问控制与决策过程。该模型在“基于中间件技术的分布嵌入式系统研究”中得到了实际应用,解决了分布式异构环境下域间访问控制的复杂性问题并且更易于实现企业级自定义安全策略。展开更多
文摘Visual object-tracking is a fundamental task applied in many applications of computer vision. Particle filter is one of the techniques which has been widely used in object tracking. Due to the virtue of extendability and flexibility on both linear and non-linear environments, various particle filter-based trackers have been proposed in the literature. However, the conventional approach cannot handle very large videos efficiently in the current data intensive information age. In this work, a parallelized particle filter is provided in a distributed framework provided by the Hadoop/Map-Reduce infrastructure to tackle object-tracking tasks. The experiments indicate that the proposed algorithm has a better convergence and accuracy as compared to the traditional particle filter. The computational power and the scalability of the proposed particle filter in single object tracking have been enhanced as well.
基金National Keystone R&D Program of China(No.2017YFB0803204)Shenzhen Research Programs(JCYJ20170306092030521)+3 种基金the PCL Future Regional Network Facilities for Largescale Experiments and Applications(LZC0019)ZTE University Funding,Natural Science Foundation of China(NSFC)(No.61671001)GuangDong Prov.,R&D Key Program(No.2019B010137001)the Shenzhen Municipal Development and Reform Commission(Disciplinary Development Program for Data Science and Intelligent Computing).
文摘With the advent of the era of big data,cloud computing,Internet of things,and other information industries continue to develop.There is an increasing amount of unstructured data such as pictures,audio,and video on the Internet.And the distributed object storage system has become the mainstream cloud storage solution.With the increasing number of distributed applications,data security in the distributed object storage system has become the focus.For the distributed object storage system,traditional defenses are means that fix discovered system vulnerabilities and backdoors by patching,or means to modify the corresponding structure and upgrade.However,these two kinds of means are hysteretic and hardly deal with unknown security threats.Based on mimic defense theory,this paper constructs the principle framework of the distributed object storage system and introduces the dynamic redundancy and heterogeneous function in the distributed object storage system architecture,which increases the attack cost,and greatly improves the security and availability of data.
文摘基于RBAC策略和CORBASec框架,引入对象访问的约束机制,给出了一种CORBA安全访问控制策略模型——GRBAC forCORBA(General Role-Based Access Control for CORBA)及其访问控制与决策过程。该模型在“基于中间件技术的分布嵌入式系统研究”中得到了实际应用,解决了分布式异构环境下域间访问控制的复杂性问题并且更易于实现企业级自定义安全策略。
