Research on Patterns Mining Method for Moving Objects

نویسندگان

  • Li Chen
  • Lianggui Liu
  • Bingxian Chen
  • Huiling Jia
چکیده

Advanced technology in GPS and sensors enables us to track moving objects, such as human beings, animals, vehicles. These mobility data as historical activity data of moving objects, in some degree can reflect some internal and external features of moving objects, how to use the massive high-precision mobile data identify potential and meaningful pattern is the current hot spots and is also a serious problem. Patterns mining also have numerous applications in human mobility understanding, urban planning and ecological studies and a wide variety of other fields. In this paper, we provide a general perspective for studies on the issues of patterns mining by reviewing the methods and algorithms in detail and comparing the existing results on the same issues, providing a quick understanding of research to the worker.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Statistical Background Modeling Based on Velocity and Orientation of Moving Objects

Background modeling is an important step in moving object detection and tracking. In this paper, we propose a new statistical approach in which, a sequence of frames are selected according to velocity and direction of some moving objects and then an initial background is modeled, based on the detection of gray pixel's value changes. To have used this sequence of frames, no estimator or distribu...

متن کامل

A Novel Method for Tracking Moving Objects using Block-Based Similarity

Extracting and tracking active objects are two major issues in surveillance and monitoring applications such as nuclear reactors, mine security, and traffic controllers. In this paper, a block-based similarity algorithm is proposed in order to detect and track objects in the successive frames. We define similarity and cost functions based on the features of the blocks, leading to less computati...

متن کامل

MoveMine 2.0: Mining Object Relationships from Movement Data

The development in positioning technology has enabled us to collect a huge amount of movement data from moving objects, such as human, animals, and vehicles. The data embed rich information about the relationships among moving objects and have applications in many fields, e.g., in ecological study and human behavioral study. Previously, we have proposed a system MoveMine that integrates several...

متن کامل

Mining moving flock patterns in large spatio-temporal datasets using a frequent pattern mining approach

Modern data acquisition techniques such as Global positioning system (GPS),Radio-frequency identification (RFID) and mobile phones have resulted in thecollection of huge amounts of data in the form of trajectories during the pastyears. Popularity of these technologies and ubiquity of mobile devices seemto indicate that the amount of spatio-temporal data will increase at accel-<l...

متن کامل

Graph Mining for Object Tracking in Videos

This paper shows a concrete example of the use of graph mining for tracking objects in videos with moving cameras and without any contextual information on the objects to track. To make the mining algorithm efficient, we benefit from a video representation based on dynamic (evolving through time) planar graphs. We then define a number of constraints to efficiently find our so-called spatio-temp...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016