KR101635599B1 - Method and apparatus for providing update service location of object based location based service - Google Patents

Abstract

The present invention relates to a method for providing a location updating service for an object based a location based service (LBS) comprising the steps of: obtaining a location area for searching a route of an object from a map service image providing an LBS based map by associating with GPS; detecting a feature point from the obtained location area by using an algorithm for detecting a corner point; detecting a sample point corresponding to the detected feature point by sampling a plurality of sample points based on a pre-set pixel sampling pattern on the basis of a route of an object for each pre-set unit time in an image corresponding to the obtained location area; and performing an object location information service based on the LBS protocol by removing redundant sample points for each a straight line route from the detected sample point.

Description

Field of the Invention [0001] The present invention relates to a method and an apparatus for providing location update service of an object based on LBS,

More particularly, the present invention proposes a hybrid algorithm that minimizes the minimum number of sample points and the average movement trajectory error, thereby preventing unnecessary data transmission to the location service server And more particularly, to a method and apparatus for providing a location update service of an LBS-based object capable of preventing a network overload and a server capacity from being wasted.

With the rapid growth of GPS and embedded systems, handheld devices such as smart phones are able to acquire that location easily in real time while moving.

(LBS, Location-Based Service) that accurately grasps the location of people or objects using GPS (Global Positioning System) as well as base station-based location tracking used in conventional portable terminals Interest and demand for services [1, 2, 3, 4, 5] are increasing. In the past, various services such as finding friends with similar interests and hobbies using LBS and Social Networking Service (SNS) were provided at the level of providing nearby information such as recommending nearby restaurants based on the user's present location have.

As the number of location-based services increases, problems related to transmission and storage of location and route information are increasing, and an interest in an efficient management system of location information is increasing. Frequent transmission of location data is a factor that increases the overhead of the server of the network and the cost of constructing the system, and in the opposite case, it is difficult to grasp the exact position of the user. Therefore, maintaining the accuracy while reducing the number of transmissions of the position data is the most important problem in managing the path data of the object [2, 6, 7].

 However, most algorithms employ an offline method in which the server collects the entire trajectory of the moving object and optimizes the position information (sample point).

In this regard, many position update methods for moving objects have been proposed in [2, 6, 8, 9, 10, 11].

However, most previous research has focused on off-line-based location update methods, which are assumed to optimize the acquisition and storage of [2,6-storage location update points] Based location update method that determines whether the object itself is updating its current location in real time.

Among many existing on-line location update methods, the time-based sampling trajectory (position update) method updates the position of a moving object in a periodic (regular time) period.

Such a time-based location update method can provide accurate trajectory of the moving object to the server, but this method is an increase factor of the overhead of the network server and the system construction cost due to the frequent transmission of the location data [13, 14].

In addition, there are various methods to accurately detect the position of the moving object and to maintain the accuracy, such as detecting the stop of the vehicle through the distance based algorithm or the stop detection algorithm and applying the position tracking model that controls the measurement and transmission period according to the state This is the situation that is being sought.

Therefore, the present invention proposes a hybrid algorithm that minimizes the minimum number of sample points and the average moving trajectory error combined with the feature point detection in an efficient on-line moving trajectory based sampling algorithm, I would like to provide a description of information provision.

According to an aspect of the present invention, there is provided a method of searching for a location path for searching an object moving path in a map service image providing an LBS-based map in association with a GPS and using an algorithm for detecting a corner point Detecting a feature point from the acquired location area; sampling a plurality of sample points based on a predetermined pixel sampling pattern on the basis of a movement path of an object in a predetermined unit time in an image corresponding to the obtained location area, Detecting a sample point corresponding to a minutiae point and performing an LBS protocol based object position information service by removing duplicate sample points for each linear path at the detected sample point.

According to another aspect of the present invention, there is provided a GPS receiver including a GPS receiver, a position calculator for extracting position coordinate data for each unit time based on an object moving path using position information output from the GPS receiver, And acquiring a location area for searching an object movement path in a map service image providing an LBS-based map in association with GPS, and acquiring a location area corresponding to the acquired location area, A method of detecting a sample point corresponding to a detected feature point by sampling a plurality of sample points based on a predetermined pixel sampling pattern based on a movement path of an object in a unit of a predetermined unit time and detecting duplicate sample points To remove the LBS protocol-based object positioning And a controller for performing location information data transmission to the location information service server that performs the beacon service.

The present invention prevents transmission of unnecessary data to a location service server, thereby preventing network overload and server capacity from being wasted. Also, the present invention can handle a large amount of data transfer for moving objects without using a mass storage device or a high- There is a possible effect.

BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is an overall flowchart of a method for providing movement path information of an object according to an embodiment of the present invention; Fig.
FIG. 2 is a diagram illustrating an example of a trajectory error between an actual trajectory of an object and a reconstructed trajectory reconstructed from a sample point according to an embodiment of the present invention; Also shown examples.
3 is a diagram illustrating an example of a corner point detection based on Harris corner detection algorithm in a method of providing location update service of an LBS-based object according to an embodiment of the present invention.
4 is a diagram illustrating an example of a moving path-based moving trace-related sample point output from an object start point to a destination in an LBS-based object location update service providing method according to an exemplary embodiment of the present invention.
5 is a diagram illustrating an online movement trajectory sampling algorithm in a method of providing location update service of an LBS-based object according to an embodiment of the present invention.
6 is a diagram illustrating an example of step-by-step sample point processing in a method for providing location update service of an LBS-based object according to an embodiment of the present invention.
FIG. 7 is an exemplary diagram illustrating a screen in which the present invention is applied to actual GPS locus data in a method for providing location update service of an LBS-based object according to an embodiment of the present invention; FIG.
8 is a detailed block diagram of an apparatus for providing location update service of an LBS-based object according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It will be appreciated that those skilled in the art will readily observe that certain changes in form and detail may be made therein without departing from the spirit and scope of the present invention as defined by the appended claims. To those of ordinary skill in the art.

The present invention relates to providing movement route information based on the movement state of an object, and more particularly, to a method and apparatus for providing location information based on the movement state of an object, A feature point is detected from a location area for searching a moving path of an object by using an algorithm for detecting a corner point in order to prevent the moving point of the object, The actual position on the sample point-based actual movement trajectory after the linear interpolation process and the average movement trajectory error calculated by using the average distance between the positions estimated through the linear interpolation are compared with predetermined thresholds Whether or not sample points are generated depending on whether they are exceeded. Detects the sample points corresponding to the detected minutia points, removes redundant sample points for each linear path at the detected sample points, and determines whether or not the position information update data is transmitted to the LBS protocol based object location information service It is possible to prevent unnecessary transmission of data to the location service server, thereby preventing network overload and waste of server capacity, and also it is possible to handle a large amount of data transfer amount for moving objects even if the mass storage device and the high performance server are not used separately. We want to provide a possible technology.

The object location update service providing apparatus according to an exemplary embodiment of the present invention may include a digital broadcasting terminal, a personal digital assistant (PDA), a smart phone, a tablet PC, an iPad, , A 3G terminal such as an International Mobile Telecommunication 2000 (IMT-2000) terminal, a Wideband Code Division Multiple Access (WCDMA) terminal, a Global System for Mobile Communications Packet Radio Service (GSM / GPRS), and a Universal Mobile Telecommunication Service All the same information communication devices and multimedia devices may be included. However, it will be readily apparent to those skilled in the art that the configuration according to the embodiments described herein may be applied to fixed terminals such as a digital TV, a desktop computer, and the like, unless the configuration is applicable only to a portable terminal.

In describing the present invention, the terms of an object, a moving object, or an object are used in the same meaning in combination according to corresponding examples.

Hereinafter, a method for providing location update service of an LBS-based object according to an embodiment of the present invention will be described in detail with reference to FIG. 1 to FIG.

First, FIG. 1 is an overall flowchart of a method of providing movement path information of an object according to an embodiment of the present invention.

Referring to FIG. 1, in step 110, a location area is searched for an object movement path in a map service image that provides an LBS-based map in association with a GPS. At this time, the location area is an area where an object, that is, a moving trajectory from a source to a destination, in which a moving object (including a terminal and a vehicle) is moved in a map service image, is loaded in real time continuous stream form and displayed on the screen.

In step 112, a feature point is detected from the acquired location area using an algorithm for detecting a corner point.

In the present invention, a known Harris Corner Detection algorithm is used for corner point detection. In the present invention, when tracking or recognizing an object in an image, a feature point is extracted in image and image matching, and an algorithm to be.

Here, a corner is a point at which a differential value (a change amount of a pixel value) appears at the same time in a direction orthogonal to each other, and a point where a differential value appears largely in the orthogonal direction is called a corner, and corresponds to a curve, an edge or an intersection on the road.

3 is a view illustrating a corner point detection based on the Harris corner detection algorithm in a method of providing location update service of an LBS-based object according to an exemplary embodiment of the present invention. FIG. FIG. 3B is an exemplary diagram showing a corner point detection result (small rectangle) based on the Harris corner detection algorithm based on the location area of 3a, and FIG. 3C is a diagram showing an example in which corner points (blue points) Fig.

Next, in step 114, sampling is performed so that a plurality of sample points based on a predetermined pixel sampling pattern are generated based on the movement path of the object for each predetermined unit time in the image corresponding to the location area obtained by the operation of step 112.

In the above-described operation, a plurality of sample points are generated in the pixels of the path corresponding to the movement trajectory of the object in the object moving path based location area related image to be displayed. Such sample point generation is performed based on the on- A sample point is generated based on the arrangement of the sampling pattern-related sample points, that is, the sampling pattern-related sample points requiring a plurality of pixel sample points, and is located on the movement path of the object.

Thereafter, in step 116, a sample point corresponding to the feature point detected in step 112 is detected.

The sample point detection is performed by determining the number of sample points detected according to whether a threshold value of a motion locus error value corresponding to an object movement path is exceeded through a motion locus-based algorithm, and the sample point according to an embodiment of the present invention is Based on the online trajectory sampling algorithm, it is continuously or discontinuously generated for each unit time according to the moving trajectory of the moving object in real time and is reported by the predetermined trajectory interval by the location update to the location service server.

The unit time is a reference time for calculating the extraction amount of the sample point per hour, and is set in advance according to the movement trajectory of the object, and is set as a reference period for extracting sample points from the start point to the destination That is, acquisition is performed for each sample point according to the movement trajectory within the predetermined period.

Accordingly, the object to which the present invention is applied stores movement path data guided from the position service server in correspondence with a destination to be moved, or moves the object continuously along the unit time according to autonomous movement Stored in a predetermined unit time, or reports a real-time movement route to the location service server, and moves from a stored or reported cumulative sample point The history of the trajectory is recognized, and based on this, it is determined whether or not the position information data corresponding to the new sample point differentiated from the previous sample point data is generated.

If the position information data corresponding to the differentiated sample point based on the movement pattern history unit time is generated as a result of the determination, or when the sample point corresponding to the corner point based on the Harris corner detection algorithm is generated, the movement locus of the current object And an error (or error) occurring between the sample point and the sample point that are consecutive during the linear interpolation is performed between the actual position on the actual movement locus And the estimated distance between the estimated position and the restoration locus.

Based on a sample point based on the most recently reported motion trajectory data, the average movement trajectory for the error of the reconstructed motion trajectory related to the sample point corresponding to the actual motion trajectory data of the real- The error is defined as follows.

The average movement trajectory error value corresponding to the entire movement trajectory including the error generated by the predetermined region between the sample points is calculated by multiplying the sample point corresponding to the actual movement trajectory data of the real- Interpolated actual moving trajectory data using the sample points corresponding to the actual moving trajectory data, and calculating the average distance between positions estimated through linear interpolation.

According to the present invention, when the error value is larger than the initially set threshold value through the motion locus-based algorithm, it is determined that the direction change (corner) of the object occurs and the error value becomes very high at the point where the direction of the object is rapidly changed. And determines the direction change of the object by observing the error value of the movement locus based algorithm by setting an appropriate threshold value.

Here, the estimated position is calculated through a linear interpolation between a sample point corresponding to the actual movement trajectory data of the real-time object and a sample point corresponding to the most recently reported movement trajectory data at a predetermined period.

FIG. 4 is a diagram illustrating a sample-point output related to a moving path based on a moving path from a starting point to a destination of an object in an LBS-based object location update service providing method according to an exemplary embodiment of the present invention.

FIG. 4A is a diagram showing an actual movement trajectory of an object, FIG. 4B is an example of a time shift trajectory based sample point of the object is shown, FIG. 4C is an actual movement trajectory of an object, Based sample points, and FIG. 4D is an exemplary view showing sample points corresponding to detected feature points. FIG.

2 is a flowchart illustrating a method of providing location update service of an object based on an LBS according to an embodiment of the present invention. The method includes providing an actual trajectory of the object and a trajectory error between the reconstructed trajectory For example.

5 is an exemplary diagram illustrating an online movement trajectory sampling algorithm in a method for providing location update service of an LBS-based object according to an embodiment of the present invention.

Referring again to FIG. 1, in step 118, the LBS protocol-based object location information service is performed by removing redundant sample points for each linear path at the detected sample points.

In order to prevent duplication of location information of a location service server performing location service of an object and waste of network transmission data and server resources, a feature point detection of a corner point where an object is redirected based on an on- In order to efficiently perform location update to the location service server by interlocking with each other, minimizing the sample point and minimizing the average movement trajectory error.

Referring to FIG. 6, FIG. 6 is a diagram illustrating exemplary step-by-step sample point processing in a method of providing location update service for an LBS-based object according to an exemplary embodiment of the present invention.

FIG. 6A is an exemplary view showing a dense sample point on a sampled moving locus using a conventional time-based moving locus algorithm, and FIG. 6B is an exemplary view showing eight sample points sampled through a corner point algorithm to which the present invention is applied FIG. 6C is a screen example in which a sample point (red) is added according to whether or not a sample point is added according to whether a threshold of a moving locus error value corresponding to a moving path of an object is exceeded through a moving locus based algorithm from FIG. 6B, If the error value is larger than the set threshold value, it is determined that the direction change (corner) of the object occurs, and a sample point is additionally generated.

FIG. 6D is an exemplary screen in which a plurality of sample points are sampled, sample points corresponding to the detected minutiae are detected, and duplicate sample points for each linear path are removed from the detected sample points.

In step 120 of FIG. 1, location information data is transmitted to a server that performs LBS protocol-based object location information service.

Meanwhile, FIG. 7 illustrates an example of a method for providing location update service of an LBS-based object according to an exemplary embodiment of the present invention, in which the present invention is applied to actual GPS locus data, FIG. 7B is an exemplary diagram showing the number of sample points sampled according to the movement trajectory of a location update service providing-based object of an LBS-based object to which the present invention is applied, Based movement trajectory algorithm based on the number of sample points sampled.

In other words, the method for providing location update service of an LBS-based object to which the present invention is applied is characterized in that an average moving trajectory error calculated using the actual position on the sample point-based actual moving trajectory and the estimated average distance between positions estimated through linear interpolation, Detects a sample point corresponding to the detected feature point, removes duplicate sample points for each linear path at the detected sample points, and calculates a minimum number of sample points and an average movement trajectory error It is possible to prevent transmission of unnecessary data to the location service server through the hybrid algorithm that minimizes the network overload and waste of the server capacity.

Hereinabove, a method of providing location update service of an LBS-based object according to an embodiment of the present invention has been described.

Hereinafter, an apparatus for providing location update service of an LBS-based object according to an embodiment of the present invention will be described in detail with reference to FIG.

8 is a detailed block diagram of an apparatus for providing location update service of an LBS-based object according to an embodiment of the present invention.

8, the apparatus to which the present invention is applied includes a GPS receiving unit 812, a position service communication unit 814, a control unit 820, a position calculating unit 824, and a feature point detecting unit 826.

The position calculating unit 824 extracts position coordinate data for each unit time based on the moving path of the object by using the position information outputted from the GPS receiving unit 812 under the control of the controller 820. [

The feature point detector 826 detects feature points using an algorithm for detecting a corner point under the control of the controller 820.

The controller 820 acquires a location area for searching for an object moving path in a map service image providing an LBS-based map in association with GPS, and acquires a location area for searching for a moving route of the object in the image corresponding to the acquired location area A plurality of sample points based on the predetermined pixel sampling pattern are sampled through the sample point generating unit 818 based on the path to detect sample points corresponding to the detected feature points.

The sample point according to an embodiment of the present invention is generated continuously or discontinuously according to the moving trajectory of the object moving in real time based on the on-line trajectory sampling algorithm, and is generated by the moving trajectory interval Reported.

At this time, the controller 820 controls the sample point generator 818 to determine whether to add a sample point according to whether a threshold value of a motion locus error value corresponding to the moving path of the object exceeds a threshold through a motion locus-based algorithm, Point detection is performed.

The control unit 820 performs a linear interpolation between the moving trace of the current object for updating the position to the position service server 816 through the interpolation unit 822 and the moving locus sample point previously reported to the position service server 816. [ The error (or error) generated between the consecutive sample points and the sample points in the linear interpolation is calculated as an average distance between the actual position on the actual movement locus and the estimated positions related to the restoration locus.

Based on a sample point based on the most recently reported motion trajectory data, the average movement trajectory for the error of the reconstructed motion trajectory related to the sample point corresponding to the actual motion trajectory data of the real- The error is defined as follows.

The average movement trajectory error value corresponding to the entire movement trajectory including the error generated by the predetermined region between the sample points is calculated by multiplying the sample point corresponding to the actual movement trajectory data of the real- Interpolated actual moving trajectory data using the sample points corresponding to the actual moving trajectory data, and calculating the average distance between positions estimated through linear interpolation.

According to the present invention, when the error value is larger than the initially set threshold value through the motion locus-based algorithm, it is determined that the direction change (corner) of the object occurs and the error value becomes very high at the point where the direction of the object is rapidly changed. And determines the direction change of the object by observing the error value of the movement locus based algorithm by setting an appropriate threshold value.

Here, the estimated position is calculated through a linear interpolation between a sample point corresponding to the actual movement trajectory data of the real-time object and a sample point corresponding to the most recently reported movement trajectory data at a predetermined period.

In addition, the controller 820 removes redundant sample points for each linear path at the detected sample points and transmits the location information data to the LBS service based on the LBS protocol based object location information service.

Although the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, And can be carried out without leaving. Accordingly, the scope of the present invention should not be limited by the illustrated embodiments, but should be determined by equivalents of the claims and the claims.

[20] Heemin Park, Young-Jun Lee, Jinseok Chae, Wonik Choi, “Online Approach for Spatio-Temporal Trajectory Data Reduction for Portable Devices,” Journal of Computer Science and Technology, Vol. 4, No. 4, pp. 597-604, July 2013.　810: GPS 812: GPS receiver
814: Location service communication unit 816: Location service server
818: sample point generating unit 820:
822: interpolator 824: position calculating unit
826:
references

[20] Heemin Park, Young-Jun Lee, Jinseok Chae, Wonik Choi, "Online Approach for Spatio-Temporal Trajectory Data Reduction for Portable Devices," Journal of Computer Science and Technology, Vol. 4, No. 4, pp. 597-604, July 2013.

Claims (8)

Acquiring a location area for searching an object movement path in a map service image providing an LBS-based map in association with a GPS;
Detecting a feature point from the acquired location area using an algorithm for detecting a corner point;
Sampling a plurality of sample points based on a predetermined pixel sampling pattern based on a movement path of an object in a predetermined unit time in an image corresponding to the acquired location area, and detecting a sample point corresponding to the detected feature point;
And performing an LBS protocol based object position information service by removing redundant sample points for each linear path at the detected sample points,
Wherein the step of detecting the sample point comprises:
Determining whether to add a sample point according to whether a threshold value of a movement trajectory error value corresponding to the movement path of the object exceeds a threshold through a movement trajectory based algorithm. delete 2. The method according to claim 1,
And a sample point corresponding to the actual movement trajectory data of the real-time object in a predetermined period and a sample point corresponding to the actual movement trajectory data subjected to the linear interpolation by the predetermined range, And calculating an average distance between the positions estimated through the actual position and the linear interpolation. 4. The method of claim 3,
Wherein the LBS-based object location update service is calculated through a linear interpolation between a sample point corresponding to the actual movement sign data of the real-time object and a sample point corresponding to the most recently reported movement sign data at a predetermined period, Delivery method. 2. The method of claim 1, further comprising:
An average movement trajectory error of the reconstructed movement trajectory related to the sample point corresponding to the actual movement trajectory data of the real-time object at a predetermined period based on the sample point based on the most recently reported movement trajectory data is defined as follows Wherein the LBS-based object is a location update service.

A GPS receiver,
A position calculation unit for extracting position coordinate data for each unit time based on the movement path of the object using the position information outputted from the GPS receiver;
A feature point detector for detecting a feature point using an algorithm for detecting a corner point;
Acquiring a location area for searching for a moving path of an object in a map service image providing an LBS-based map in association with a GPS, setting a preset location A plurality of sample points based on the pixel sampling pattern are sampled to detect sample points corresponding to the detected minutiae points, and redundant sample points for each linear path are removed from the detected sample points to obtain position information And a controller for performing location information data transmission to the service server,
Wherein,
And a sample point detection unit for detecting a sample point by determining whether to add a sample point according to whether a threshold value of a motion locus error value corresponding to the movement path of the object exceeds a threshold value by controlling the sample point generation unit. A location update service providing apparatus. delete 7. The method according to claim 6,
And a sample point corresponding to the actual movement trajectory data of the real-time object in a predetermined period and a sample point corresponding to the actual movement trajectory data subjected to the linear interpolation by the predetermined range, And calculating an average distance between the positions estimated through the actual position and the linear interpolation.

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