M-Attract: Assessing the Attractiveness of Places by Using Moving Objects Trajectories Data

نویسندگان

  • Andre Salvaro Furtado
  • Renato Fileto
  • Chiara Renso
چکیده

Attractiveness of places has been studied by several sciences, giving rise to distinct ways for assessing it. However, the attractiveness evaluation methods currently available lack versatility to analyze diverse attractiveness phenomena in different kinds of places and spatial scales. This article describes a novel method, called M-Attract, to assess interesting attractiveness of places, based on moving objects trajectories. M-Attract examines trajectory episodes (e.g., stop at, pass by) that happen in places and their encompassing regions to compute their attractiveness. It is more flexible than state-of-the-art methods, with respect to land parcels, parameters, and measures used for attractiveness assessment. M-Attract has been evaluated in experiments with real data, which demonstrate its contributions to analyze attractiveness of places.

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

A New Ontology-Based Approach for Human Activity Recognition from GPS Data

Mobile technologies have deployed a variety of Internet–based services via location based services. The adoption of these services by users has led to mammoth amounts of trajectory data. To use these services effectively, analysis of these kinds of data across different application domains is required in order to identify the activities that users might need to do in different places. Researche...

متن کامل

Extending the Qualitative Trajectory Calculus Based on the Concept of Accessibility of Moving Objects in the Paths

Qualitative spatial representation and reasoning are among the important capabilities in intelligent geospatial information system development. Although a large contribution to the study of moving objects has been attributed to the quantitative use and analysis of data, such calculations are ineffective when there is little inaccurate data on position and geometry or when explicitly explaining ...

متن کامل

Measuring the Similarity of Trajectories Using Fuzzy Theory

In recent years, with the advancement of positioning systems, access to a large amount of movement data is provided. Among the methods of discovering knowledge from this type of data is to measure the similarity of trajectories resulting from the movement of objects. Similarity measurement has also been used in other data mining methods such as classification and clustering and is currently, an...

متن کامل

Moving Objects Tracking Using Statistical Models

Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...

متن کامل

Moving Objects Tracking Using Statistical Models

Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...

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 2012