CN107729367A - A kind of moving line recommends method, apparatus and storage medium - Google Patents
A kind of moving line recommends method, apparatus and storage medium Download PDFInfo
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Abstract
The invention discloses a kind of moving line to recommend method, obtains the graph outline corresponding to destination object；It is determined that at least one movement locus matched with the graph outline；From at least one movement locus, the movement locus for meeting default recommendation condition is chosen as moving line, and recommend.The present invention further simultaneously discloses a kind of moving line recommendation apparatus and storage medium.
Description
Technical Field
The present invention relates to information recommendation technologies, and in particular, to a method and an apparatus for recommending a movement route, and a storage medium.
Background
With the continuous improvement of living standard, people pay more attention to exercise. Accordingly, various movement route recommendation schemes have appeared, which can recommend a movement route to a user when the user moves. Some of the movement routes are determined according to an initial position and a destination set before the user moves, and then one or more movement routes are recommended to the user; some methods intelligently sort the lengths of the movement routes after the movement routes are determined and then recommend the lengths to the user.
Therefore, although the existing movement route recommendation method can recommend a movement route to a user, the movement route is often determined according to a starting position and a destination, but the recommendation mode is too single, so that the user experience is poor.
Disclosure of Invention
In view of this, embodiments of the present invention are expected to provide a motion route recommendation method, device and storage medium, which can effectively improve user experience.
In order to achieve the above purpose, the technical solution of the embodiment of the present invention is realized as follows:
the embodiment of the invention provides a motion route recommendation method, which comprises the following steps:
acquiring a graph outline corresponding to a target object;
determining at least one motion track matched with the figure outline;
and selecting a motion track meeting a preset recommendation condition from the at least one motion track as a motion route, and recommending.
In the above scheme, obtaining the graph contour corresponding to the target object includes:
determining a target object from the selected target image;
and extracting the graphic outline of the target object.
In the above solution, the determining at least one motion trajectory matched with the graph contour includes:
acquiring motion parameter information preset by a user;
and determining at least one motion track of the graph outline in a preset area according to the motion parameter information.
In the foregoing solution, the motion parameter information at least includes: the position of the user and the movement distance of the user;
determining at least one motion track of the graph contour in a preset area according to the motion parameter information, wherein the motion track comprises:
determining map information in a preset area containing the position of the user based on the position of the user;
and determining at least one motion track corresponding to the graphic outline in the map information in the preset area containing the position of the user based on the motion distance of the user.
In the above scheme, the preset recommendation condition is that the similarity is greater than a preset threshold value;
selecting a motion trail meeting a preset recommendation condition from the at least one motion trail as a motion route, wherein the motion trail comprises:
determining the similarity of each motion track and the graph outline;
and selecting the motion trail with the similarity larger than a preset first threshold value as a motion route.
In the foregoing solution, the determining the similarity between each motion trajectory and the graph contour includes:
mapping the characteristic points in the graph outline to the map coordinates of the motion trail by using a coordinate conversion algorithm, and determining a preset number of acquisition points;
for each motion trajectory: and calculating the distance between each acquisition point and the corresponding point in the motion trail, determining the number ratio of the points of which the distance is smaller than a preset second threshold value, and taking the ratio as the similarity.
In the above scheme, after selecting a motion trajectory satisfying a preset recommendation condition from the at least one motion trajectory as the motion route and before recommending the motion route, the method further includes:
screening the movement route based on a preset screening dimension to obtain a screened movement route;
wherein the screening dimension comprises at least one of: starting position, area of motion.
The embodiment of the invention also provides a motion route recommending device, which comprises: the system comprises an acquisition module, a determination module and a recommendation module; wherein,
the acquisition module is used for acquiring a graph outline corresponding to the target object;
the determining module is used for determining at least one motion track matched with the figure outline;
and the recommending module is used for selecting the motion trail meeting the preset recommending condition from the at least one motion trail as the motion route and recommending the motion trail.
In the foregoing scheme, the obtaining module is specifically configured to: determining a target object from the selected target image; and extracting the graphic outline of the target object.
In the foregoing solution, the determining module is specifically configured to:
acquiring motion parameter information preset by a user;
and determining at least one motion track of the graph outline in a preset area according to the motion parameter information.
In the foregoing solution, the motion parameter information at least includes: the position of the user and the movement distance of the user;
the determining module is further specifically configured to:
determining map information in a preset area containing the position of the user based on the position of the user;
and determining at least one motion track corresponding to the graphic outline in the map information in the preset area containing the position of the user based on the motion distance of the user.
In the above scheme, the preset recommendation condition is that the similarity is greater than a preset threshold value;
the recommendation module is specifically configured to:
determining the similarity of each motion track and the graph outline;
and selecting the motion trail with the similarity larger than a preset first threshold value as a motion route.
In the foregoing solution, the recommendation module is specifically further configured to:
mapping the characteristic points in the graph outline to the map coordinates of the motion trail by using a coordinate conversion algorithm, and determining a preset number of acquisition points;
for each motion trajectory: and calculating the distance between each acquisition point and the corresponding point in the motion trail, determining the number ratio of the points of which the distance is smaller than a preset second threshold value, and taking the ratio as the similarity.
In the above scheme, the apparatus further comprises a screening module, configured to: screening the movement route based on a preset screening dimension to obtain a screened movement route;
wherein the screening dimension comprises at least one of: starting position, area of motion.
The embodiment of the present invention further provides a storage medium, on which an executable program is stored, and the executable program implements the steps in the above technical solution when executed by a processor.
The embodiment of the invention also provides a motion route recommending device, which comprises a memory, a processor and an executable program which is stored on the memory and can be run by the processor, wherein the processor executes the steps in the technical scheme when running the executable program.
According to the movement route recommendation method, the movement route recommendation device and the storage medium, at least one movement track matched with the graph outline is determined according to the obtained graph outline corresponding to the target object. Further, by calculating the similarity between the at least one motion track and the graph outline or screening the motion tracks to be recommended according to a preset screening dimension, the motion track meeting a preset recommendation condition is selected as a motion route and recommended to a user. Due to the fact that the selected graphic outlines of the target objects are different, the movement routes recommended to the user are different, the user can move according to the movement routes with different outlines, the situation that the existing user only can select one or more inherent movement routes is improved, and therefore user experience is effectively improved.
Drawings
Fig. 1 is a schematic flow chart of an implementation of a motion route recommendation method according to an embodiment of the present invention;
fig. 2 is a first detailed flowchart of a motion route recommendation method according to an embodiment of the present invention;
fig. 3 is a detailed flowchart of a motion route recommendation method according to an embodiment of the present invention;
fig. 4 is a first scene schematic diagram of a motion route recommendation method according to an embodiment of the present invention;
fig. 5 is a second scenario diagram of a motion route recommendation method according to an embodiment of the present invention;
fig. 6 is a third scene schematic diagram of a motion route recommendation method according to an embodiment of the present invention;
fig. 7 is a fourth scene schematic diagram of a motion route recommendation method according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a movement route recommendation device according to an embodiment of the present invention;
fig. 9 is a schematic hardware structure diagram of a movement route recommendation device according to an embodiment of the present invention.
Detailed Description
The first embodiment,
In the embodiment of the present invention, an implementation flow diagram of a motion route recommendation method is shown in fig. 1, and includes the following steps:
step 101: acquiring a graph outline corresponding to a target object;
step 102: determining at least one motion track matched with the figure outline;
step 103: and selecting a motion track meeting a preset recommendation condition from the at least one motion track as a motion route, and recommending.
The embodiment can be applied to terminal equipment or a server.
In the foregoing step 101, the obtaining of the graph contour corresponding to the target object may include, based on different implementation subjects, the following processing scenarios:
scene one,
The method is applied to the scenes of the terminal equipment, and specifically comprises the following steps:
selecting a target image through terminal equipment, and selecting a target object from the target image; and acquiring a graph contour corresponding to the target object. The terminal device includes but is not limited to a mobile phone, a tablet computer and the like.
Specifically, a target image can be selected from a gallery of a user client; alternatively, the user client may be used to capture an image, and then obtain the target image. After the target image is selected, the target image can be directly coated in a circle mode, and then a target object is selected; alternatively, the target object may be obtained by means of interception. The target object is a figure with a certain specific shape in a target image. Further, the obtaining of the graph contour of the target object is a graph contour corresponding to the target object obtained by an image contour extraction method. For example, binary image contour extraction or MATLAB image contour extraction.
Scene two,
Application to server scenarios, in particular:
directly receiving a graphic outline corresponding to a target object sent by terminal equipment; how the terminal device obtains the graphic outline of the target object may be processed in the same manner as the first scene, and details are not repeated here.
Scene three,
Application to server scenarios, in particular: receiving a target image which is sent by terminal equipment and contains a target object, and extracting a graph outline corresponding to the target object from the target image; the processing manner of how the server obtains the target object may be the same as the first scenario, and is not described herein again.
In step 102, the determining at least one motion trajectory matching the graph contour includes: acquiring motion parameter information preset by a user; and determining at least one motion track of the graph outline in a preset area according to the motion parameter information.
Here, the motion parameter information includes at least: the location of the user, and the distance of movement of the user.
Further, the determining at least one motion trajectory of the graph contour in a preset area according to the motion parameter information includes: determining map information in a preset area containing the position of the user based on the position of the user; and determining at least one motion track corresponding to the graphic outline in the map information in the preset area containing the position of the user based on the motion distance of the user. Or determining map information in a preset area containing the position selected by the user according to the position selected by the user; and determining at least one motion track corresponding to the graphic outline in the map information in the preset area containing the position selected by the user based on the motion distance of the user.
Specifically, after map information in a preset range including the position of the user is determined, mapping feature points of a graph contour corresponding to the target object in the rectangular coordinate system to the map information in the preset range including the position of the user to obtain collection points of the feature points in the map information.
Here, the feature points may be respective points constituting the figure outline; alternatively, it may be a partial point in the figure outline, such as an inflection point. Further, at least one motion track containing the acquisition points is obtained according to the acquisition points. For example, by calling a map route planning function, at least one motion trajectory for protecting an acquisition point can be directly obtained according to the acquisition point of the graphic outline in the map information. And the length of each motion track is consistent with the motion distance of the user.
In step 103, selecting a motion trajectory satisfying a preset recommendation condition from the at least one motion trajectory as a motion route includes: determining the similarity of each motion track and the graph outline; and selecting the motion trail with the similarity larger than a preset first threshold value as a motion route.
Specifically, since the roads in the map are often inherent lines that actually exist, it is impossible to determine the movement locus that completely coincides with the outline of the graph, and there are different degrees of difference inevitably. Therefore, the motion trail of which the similarity between the motion trail and the graph outline is greater than a preset first threshold value is taken as a motion route. The preset first threshold value is an empirical value and can be set manually. Such as 80%, 85%, etc. At least one motion route is provided.
Further, the determining the similarity between each motion trajectory and the graph contour includes: mapping the characteristic points in the graph outline to the map coordinates of the motion trail by using a coordinate conversion algorithm, and determining a preset number of acquisition points; for each motion trajectory: and calculating the distance between each acquisition point and the corresponding point in the motion trail, determining the number ratio of the points of which the distance is smaller than a preset second threshold value, and taking the ratio as the similarity. The preset second threshold value is an empirical value and can be set manually. When the preset second threshold value is zero, the acquisition point is overlapped with the corresponding position point in the motion trail.
Specifically, there are various ways of determining the preset number of acquisition points in the map coordinates of the movement locus and the feature points of the graph contour in the rectangular coordinate system. The transformation may be achieved, for example, by a method of projective transformation, such as gaussian projection.
Further, after selecting a motion trajectory satisfying a preset recommendation condition from the at least one motion trajectory as a motion route and before recommending the motion route, the method further includes: screening the movement route based on a preset screening dimension to obtain a screened movement route; wherein the screening dimension comprises at least one of: starting position, area of motion.
For example, the user's starting position may be taken as a first dimension and the user's motion area as a second dimension. Firstly, ten movement routes are selected from the movement routes, and six movement routes are further determined from the ten movement routes according to the starting positions of the users. And then selecting three motion routes from the six motion routes according to the motion area of the user and recommending the three motion routes to the user. In addition, the recommended movement route may also be determined according to other ways. Specifically, the movement route may be determined according to the user's demand. Determining a movement route recommended to the user according to the road condition information of the movement track, for example, obtaining the road condition information of each movement track, and recommending the movement route without congestion and with good road condition to the user; alternatively, the movement route may be obtained from movement data of a plurality of users having the same movement distance. The movement route is pushed to the user, so that the user can select the movement route during movement.
In this embodiment, at least one motion trajectory matched with the graph contour is determined by the graph contour of the target object, and then a part of the motion trajectory is selected from the at least one motion trajectory to be used as a motion route. The movement route obtained by adopting the scheme is similar to the figure outline. Therefore, according to the different outlines of the graph, the movement routes with different outlines can be obtained, so that a user can select the movement routes with various outlines, and the user experience is effectively improved.
Example II,
In the following, with reference to an example, taking the example that the terminal device acquires the heart-shaped profile and determines the movement route to be recommended according to the heart-shaped profile, the movement route recommendation method according to the embodiment of the present invention is described in further detail.
In the embodiment of the present invention, a detailed flowchart of the movement route recommendation method is shown in fig. 2, and includes the following steps:
step 201: acquiring a target picture;
here, the terminal device acquires a target picture including a heart-shaped figure. Specifically, a target picture can be selected from a gallery of the terminal device; alternatively, the image may be captured by an image capturing device in the user a terminal device, so as to obtain the target image. For example, a picture as shown in fig. 4 is obtained.
Step 202: selecting a heart-shaped graph from the target picture;
here, the terminal device selects a heart-shaped figure from the target picture. In fig. 3, the outline formed by the sea water hitting on the beach is included, and a heart-shaped pattern is also included on the beach, and now the heart-shaped pattern is used as the heart-shaped pattern, and a suitable area is selected by means of loop coating or by moving a cutting frame, so that the heart-shaped pattern is obtained, as shown in fig. 5.
Step 203: acquiring the outline of the heart-shaped graph;
here, the terminal device may obtain the heart-shaped contour by a method of image contour extraction. For example, binary image contour extraction or MATLAB image contour extraction.
The following is the process of obtaining the heart-shaped contour by the terminal equipment through a binary image contour extraction method: the binary image contour extraction only needs to hollow out internal pixel points, and then contour points can be obtained. Here, the inner dots are bright dots, and the outline dots are black dots. When judging whether the adjacent points have contour points, the method can be implemented according to the judgment rule: if four adjacent points of a certain point, namely the upper, lower, left and right adjacent points are black points, the point is not a contour point, and otherwise, the point is a contour point. The image contour extraction work process is as follows: firstly, traversing pixel points in a graph from top to bottom and from left to right, wherein the first black point found is a contour point at the top left and is marked as a first contour point. At least one of the four adjacent points of the right, lower left and lower left is a contour point and is marked as a second contour point. Then, traversing from the second contour point, finding the contour points in the adjacent points according to the sequence of right, lower left, upper right, and recording as a third contour point. And sequentially circulating, and traversing to the first contour point, and displaying that the whole process is finished, thereby finally obtaining the heart-shaped contour, as shown in fig. 6.
Step 204: determining at least one motion trajectory matching the cardioid profile;
here, the terminal device obtains motion parameter information preset by a user A; and determining at least one motion track of the heart-shaped contour in a preset area according to the motion parameter information. The motion parameter information at least includes a motion distance of the user a and a location of the user a. For example, user a sets the distance to run to be five kilometers, and the location of user a is at the door of B park.
Further, the terminal device can determine map information in a preset area containing the position of the user A according to the position of the user A; or determining map information in a preset area containing the position selected by the user according to the position selected by the user A. That is, if the preset area is ten kilometers, it can be determined that map information within a ten kilometer range including a door of the B park is included; or, according to the B park entrance selected by the user A, determining the map information within the ten-kilometer range containing the B park entrance.
Next, the terminal device determines at least one motion track corresponding to the heart-shaped contour in the map information within ten kilometers of the range containing the park entrance B based on the motion distance of the user A.
Specifically, the terminal device maps the characteristic points of the heart-shaped outline in the rectangular coordinate system to map information within a ten-kilometer range including a door of a B park, and acquisition points of the characteristic points in the map information are obtained. And obtaining at least one motion track containing the acquisition points according to the acquisition points. Wherein, the length of each motion track is consistent with the motion distance of the user A.
Step 205: selecting a motion track meeting a preset recommendation condition from the at least one motion track as a motion route;
here, the preset recommendation condition is that the similarity is greater than a preset threshold value. The terminal equipment determines the similarity of each motion track and the heart-shaped contour. Since the roads in the map are often inherent lines that actually exist, it is impossible to determine a motion trajectory that completely coincides with the heart-shaped contour, and there must be differences in different degrees. Therefore, the motion trail of which the similarity between the motion trail and the heart-shaped contour is greater than the preset first threshold value is taken as the motion route, as shown in fig. 7.
Specifically, by using a coordinate conversion algorithm, the characteristic points of the heart-shaped profile in the rectangular coordinate system are mapped to map information within a ten-kilometer range including a B park entrance, so as to obtain a preset number of acquisition points. Next, the terminal device, for each motion trajectory: and calculating the distance between each acquisition point and the corresponding point in the motion trail, determining the number ratio of the points of which the distance is smaller than a preset second threshold value, and taking the ratio as the similarity. The preset second threshold value is an empirical value and can be set manually. When the preset second threshold value is zero, the acquisition point is overlapped with the corresponding position point in the motion trail.
Further, the terminal device selects a motion track with the similarity larger than a preset first threshold value as a motion route. The preset threshold value is an empirical value and can be set manually. Such as 80%, 85%, etc.
Further, the terminal device may also screen the movement route based on a preset screening dimension to obtain a screened movement route; wherein the screening dimension comprises at least one of: starting position, area of motion. For example, the terminal device may take the starting position of user a as a first dimension and the area of motion of user a as a second dimension. And the terminal equipment selects ten movement routes from the movement routes, and further determines six movement routes from the ten movement routes according to the initial positions of the user A. And then selecting three motion routes from the six motion routes according to the motion area of the user A and recommending the three motion routes to the user A. In addition, the terminal device may determine the movement route recommended to the user a according to other manners. Specifically, the terminal device may determine the movement route according to the requirement of the user a. For example, obtaining the road condition information of each movement track, and recommending the movement route without congestion and with good road condition to the user A; alternatively, the movement route may be obtained from the movement data of a plurality of users having the same movement distance and recommended to the user a.
Step 206: and pushing the movement routes to a user A so that the user A selects one of the movement routes as a current movement route during movement.
Example III,
The following describes the movement route recommendation method according to the embodiment of the present invention in further detail by taking the example that the server acquires the heart-shaped profile and determines the movement route according to the heart-shaped profile.
Here, the server may acquire the outline of the heart shape figure in two ways. Therefore, the embodiment of the present invention includes an example one and an example two, and detailed flow diagrams of the exercise route recommendation method are shown in fig. 3a and fig. 3b, which are specifically as follows:
examples one,
Step 301 a: acquiring the outline of the heart-shaped graph;
the server may obtain the outline of the heart-shaped figure directly from the terminal device, as shown in fig. 6. The process of how the terminal device obtains the heart-shaped graph in the target picture and how to obtain the heart-shaped outline from the heart-shaped graph is described in the second embodiment, and is not described herein again.
Step 302 a: determining at least one motion trajectory matching the cardioid profile;
here, the server acquires motion parameter information preset by the user A; and determining at least one motion track of the heart-shaped contour in a preset area according to the motion parameter information. The motion parameter information at least includes a motion distance of the user a and a location of the user a. For example, user a sets the distance to run to be five kilometers, and the location of user a is at the door of B park.
Further, the server can determine map information in a preset area containing the position of the user A according to the position of the user A; or determining map information in a preset area containing the position selected by the user according to the position selected by the user A. That is, if the preset area is ten kilometers, it can be determined that map information within a ten kilometer range including a door of the B park is included; or, according to the B park entrance selected by the user A, determining the map information within the ten-kilometer range containing the B park entrance.
Next, the server determines at least one motion track corresponding to the heart-shaped contour in the map information within ten kilometers of the range containing the door of the B park based on the motion distance of the user A.
Specifically, the terminal device maps the characteristic points of the heart-shaped outline in the rectangular coordinate system to map information within a ten-kilometer range including a door of a B park, and acquisition points of the characteristic points in the map information are obtained. And obtaining at least one motion track containing the acquisition points according to the acquisition points. Wherein, the length of each motion track is consistent with the motion distance of the user A.
Step 303 a: selecting a motion track meeting a preset recommendation condition from the at least one motion track as a motion route;
here, the preset recommendation condition is that the similarity is greater than a preset threshold value. The server determines the similarity of each motion track and the heart-shaped contour. Since the roads in the map are often inherent lines that actually exist, it is impossible to determine a motion trajectory that completely coincides with the heart-shaped contour, and there must be differences in different degrees. Therefore, the motion trail of which the similarity between the motion trail and the heart-shaped contour is greater than the preset first threshold value is taken as the motion route, as shown in fig. 7.
Specifically, by using a coordinate conversion algorithm, the characteristic points of the heart-shaped profile in the rectangular coordinate system are mapped to map information within a ten-kilometer range including a B park entrance, so as to obtain a preset number of acquisition points. Next, the server, for each motion trajectory: and calculating the distance between each acquisition point and the corresponding point in the motion trail, determining the number ratio of the points of which the distance is smaller than a preset second threshold value, and taking the ratio as the similarity. The preset second threshold value is an empirical value and can be set manually. When the preset second threshold value is zero, the acquisition point is overlapped with the corresponding position point in the motion trail.
Further, the server selects a motion track with the similarity larger than a preset first threshold value as a motion route. The preset first threshold value is an empirical value and can be set manually. Such as 80%, 85%, etc.
Further, the server can also screen the movement route based on a preset screening dimension to obtain a screened movement route; wherein the screening dimension comprises at least one of: starting position, area of motion. For example, the server may have the starting location of user a as a first dimension and the area of motion of user a as a second dimension. The server selects ten movement routes from the movement routes, and further determines six movement routes from the ten movement routes according to the initial positions of the user A. And then selecting three motion routes from the six motion routes according to the motion area of the user A and recommending the three motion routes to the user A. In addition, the server can also determine the movement route recommended to the user A according to other modes. Specifically, the server may determine the movement route according to the requirement of the user a. For example, obtaining the road condition information of each movement track, and recommending the movement route without congestion and with good road condition to the user A; or, the movement route to be recommended may be obtained according to the movement data of a plurality of users with the same movement distance, and recommended to the user a.
Step 304 a: and pushing the movement routes to a user A so that the user A selects one of the movement routes as a current movement route during movement.
Examples two,
Step 301 b: acquiring a target picture;
here, the server first acquires a target picture, which includes a heart-shaped figure. Specifically, a target picture can be selected from a gallery; alternatively, a picture can be taken by the camera device, and a target picture can be obtained. For example, a picture as shown in fig. 4 is obtained.
Step 302 b: selecting a heart-shaped graph from the target picture;
here, the server selects a heart-shaped figure from the target picture. In fig. 4, the outline formed by the sea water hitting on the beach is included, and a heart-shaped pattern is also included on the beach, and now the heart-shaped pattern is used as the heart-shaped pattern, and a suitable area is selected by means of loop coating or by moving a cutting frame, so that the heart-shaped pattern is obtained, as shown in fig. 5.
Step 303 b: acquiring the outline of the heart-shaped graph;
here, the server obtains the heart-shaped contour by a method of image contour extraction. For example, binary image contour extraction or MATLAB image contour extraction.
The following is the process of obtaining the heart-shaped contour by the server through a binary image contour extraction method: the binary image contour extraction only needs to hollow out internal pixel points, and then contour points can be obtained. Here, the inner dots are bright dots, and the outline dots are black dots. When judging whether the adjacent points have contour points, the method can be implemented according to the judgment rule: if four adjacent points of a certain point, namely the upper, lower, left and right adjacent points are black points, the point is not a contour point, and otherwise, the point is a contour point. The image contour extraction work process is as follows: firstly, traversing pixel points in a graph from top to bottom and from left to right, wherein the first black point found is a contour point at the top left and is marked as a first contour point. At least one of the four adjacent points of the right, lower left and lower left is a contour point and is marked as a second contour point. Then, traversing from the second contour point, finding the contour points in the adjacent points according to the sequence of right, lower left, upper right, and recording as a third contour point. And sequentially circulating, and traversing to the first contour point, and displaying that the whole process is finished, thereby finally obtaining the heart-shaped contour, as shown in fig. 6.
Step 304 b: determining at least one motion trajectory matching the cardioid profile;
here, the server acquires motion parameter information preset by the user A; and determining at least one motion track of the heart-shaped contour in a preset area according to the motion parameter information. The motion parameter information at least includes a motion distance of the user a and a location of the user a. For example, user a sets the distance to run to be five kilometers, and the location of user a is at the door of B park.
Further, the server can determine map information in a preset area containing the position of the user A according to the position of the user A; or determining map information in a preset area containing the position selected by the user according to the position selected by the user A. That is, if the preset area is ten kilometers, it can be determined that map information within a ten kilometer range including a door of the B park is included; or, according to the B park entrance selected by the user A, determining the map information within the ten-kilometer range containing the B park entrance.
Next, the server determines at least one motion track corresponding to the heart-shaped contour in the map information within ten kilometers of the range containing the door of the B park based on the motion distance of the user A. Specifically, the terminal device maps the characteristic points of the heart-shaped outline in the rectangular coordinate system to map information within a ten-kilometer range including a door of a B park, and acquisition points of the characteristic points in the map information are obtained. And obtaining at least one motion track containing the acquisition points according to the acquisition points. Wherein, the length of each motion track is consistent with the motion distance of the user A.
Step 305 b: selecting a motion track meeting a preset recommendation condition from the at least one motion track as a motion route;
here, the preset recommendation condition is that the similarity is greater than a preset threshold value. The server determines the similarity of each motion track and the heart-shaped contour. Since the roads in the map are often inherent lines that actually exist, it is impossible to determine a motion trajectory that completely coincides with the heart-shaped contour, and there must be differences in different degrees. Therefore, the motion trail of which the similarity between the motion trail and the heart-shaped contour is greater than the preset first threshold value is taken as the motion route, as shown in fig. 7.
Specifically, by using a coordinate conversion algorithm, the characteristic points of the heart-shaped profile in the rectangular coordinate system are mapped to map information within a ten-kilometer range including a B park entrance, so as to obtain a preset number of acquisition points. Next, the server, for each motion trajectory: and calculating the distance between each acquisition point and the corresponding point in the motion trail, determining the number ratio of the points of which the distance is smaller than a preset second threshold value, and taking the ratio as the similarity. The preset second threshold value is an empirical value and can be set manually. When the preset second threshold value is zero, the acquisition point is overlapped with the corresponding position point in the motion trail.
Further, the server selects a motion track with the similarity larger than a preset first threshold value as a motion route. The preset threshold value is an empirical value and can be set manually. Such as 80%, 85%, etc.
Further, the server can also screen the movement route based on a preset screening dimension to obtain a screened movement route; wherein the screening dimension comprises at least one of: starting position, area of motion. For example, the server may have the starting location of user a as a first dimension and the area of motion of user a as a second dimension. The server selects ten movement routes from the movement routes, and further determines six movement routes from the ten movement routes according to the initial positions of the user A. And then selecting three motion routes from the six motion routes according to the motion area of the user A and recommending the three motion routes to the user A. In addition, the server can also determine the movement route recommended to the user A according to other modes. Specifically, the server may determine the movement route according to the requirement of the user a. For example, obtaining the road condition information of each movement track, and recommending the movement route without congestion and with good road condition to the user A; alternatively, the movement route may be obtained from the movement data of a plurality of users having the same movement distance and recommended to the user a.
Step 306 b: and pushing the movement routes to a user A so that the user A selects one of the movement routes as a current movement route during movement.
Example four,
In order to implement the movement route recommendation method, an embodiment of the present invention further provides a movement route recommendation device, where a schematic structural diagram of the device is shown in fig. 8, and the device includes: an acquisition module 81, a determination module 82 and a recommendation module 83; wherein,
the obtaining module 81 is configured to obtain a graph contour corresponding to a target object;
the matching module 82 is configured to determine at least one motion trajectory matched with the graph contour;
and the recommending module 83 is configured to select a motion trajectory meeting a preset recommending condition from the at least one motion trajectory as a motion route, and recommend the motion trajectory.
The obtaining module is specifically configured to: determining a target object from the selected target image; and extracting the graphic outline of the target object.
Specifically, the extraction module may select a target image from a gallery of a user client; alternatively, the user client may be used to capture an image, and then obtain the target image. After the target image is selected, the target image can be directly coated in a circle mode, and then a target object is selected; alternatively, the target object may be obtained by means of interception. Then, the extraction module obtains a graph contour corresponding to the target object by an image contour extraction method. The target object is a figure with a certain specific shape in a target image.
Further, the determining module 82 is specifically configured to: acquiring motion parameter information preset by a user; and determining at least one motion track of the graph outline in a preset area according to the motion parameter information.
Here, the motion parameter information includes at least: the position of the user and the movement distance of the user; further, the determining module 82 is further specifically configured to: determining map information in a preset area containing the position of the user based on the position of the user; and determining at least one motion track corresponding to the graphic outline in the map information in the preset area containing the position of the user based on the motion distance of the user.
Specifically, the determining module 82 determines, according to the acquired location of the user, map information in a preset area including the location of the user. Further, mapping the feature points of the graph outline corresponding to the target object in the rectangular coordinate system to map information in a preset area including the position of the user to obtain collection points of the feature points in the map information. The determining module 82 obtains at least one motion track containing the acquisition points according to the acquisition points.
Here, the preset recommendation condition is that the similarity is greater than a preset threshold value; further, the recommending module 83 is specifically configured to: determining the similarity of each motion track and the graph outline; and selecting the motion trail with the similarity larger than a preset first threshold value as a motion route.
The reason why the movement route is determined by the similarity between each movement track and the graph outline is that the graph outline is an ideal graph outline, roads in the map are often existing inherent lines, and the generated movement tracks are often not completely consistent with the graph outline and are inevitably different to different degrees. The preset first threshold value is an empirical value and can be set manually. Such as 80%, 85%, etc.
Further, the recommending module 83 is specifically configured to:
mapping the characteristic points in the graph outline to the map coordinates of the motion trail by using a coordinate conversion algorithm, and determining a preset number of acquisition points; the recommending module 83 may implement a method of mapping the feature points of the graph contour in the rectangular coordinate system to the map coordinates of the motion trajectory, and determining a preset number of collecting points, such as gaussian projections, in a plurality of ways.
For each motion trajectory: and calculating the distance between each acquisition point and the corresponding point in the motion trail, determining the number ratio of the points of which the distance is smaller than a preset second threshold value, and taking the ratio as the similarity. The preset second threshold value is an empirical value and can be set manually. When the preset second threshold value is zero, the acquisition point is overlapped with the corresponding position point in the motion trail.
The apparatus further comprises a screening module for: screening the movement route based on a preset screening dimension to obtain a screened movement route; wherein the screening dimension comprises at least one of: starting position, area of motion.
For example, the screening module selects ten movement routes from the movement routes, and further determines six movement routes from the ten movement routes according to the starting positions of the users. And then selecting three motion routes from the six motion routes according to the motion areas of the user and recommending the three motion routes to the user.
In practical applications, the obtaining module 81, the determining module 82, the recommending module 83 and the screening module may be implemented by a Central Processing Unit (CPU), a microprocessor Unit (MPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like located in a server or a terminal device.
It should be noted that: in the exercise route recommendation device provided in the above embodiment, only the division of the program modules is exemplified when performing exercise route recommendation, and in practical applications, the processing distribution may be completed by different program modules according to needs, that is, the internal structure of the device may be divided into different program modules to complete all or part of the processing described above. In addition, the movement route recommendation device and the movement route recommendation method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.
In order to implement the foregoing method, an embodiment of the present invention further provides another motion trajectory routing apparatus, where the apparatus includes a memory, a processor, and an executable program stored on the memory and capable of being executed by the processor, and when the processor executes the executable program, the following operations are performed:
acquiring a graph outline corresponding to a target object;
determining at least one motion track matched with the figure outline;
and selecting a motion track meeting a preset recommendation condition from the at least one motion track as a motion route, and recommending.
The processor is further configured to, when running the executable program, perform the following:
determining a target object from the selected target image;
and extracting the graphic outline of the target object.
The processor is further configured to, when running the executable program, perform the following:
acquiring motion parameter information preset by a user;
and determining at least one motion track of the graph outline in a preset area according to the motion parameter information.
The processor is further configured to, when running the executable program, perform the following:
determining map information in a preset area containing the position of the user based on the position of the user;
and determining at least one motion track corresponding to the graphic outline in the map information in the preset area containing the position of the user based on the motion distance of the user.
The processor is further configured to, when running the executable program, perform the following:
determining the similarity of each motion track and the graph outline;
and selecting the motion trail with the similarity larger than a preset first threshold value as a motion route.
The processor is further configured to, when running the executable program, perform the following:
mapping the characteristic points in the graph outline to the map coordinates of the motion trail by using a coordinate conversion algorithm, and determining a preset number of acquisition points;
for each motion trajectory: and calculating the distance between each acquisition point and the corresponding point in the motion trail, determining the number ratio of the points of which the distance is smaller than a preset second threshold value, and taking the ratio as the similarity.
The processor is further configured to, when running the executable program, perform the following:
screening the movement route based on a preset screening dimension to obtain a screened movement route;
wherein the screening dimension comprises at least one of: starting position, area of motion.
The following takes as an example that the movement route recommending apparatus is implemented as a server or a terminal for movement route recommendation, and further explains a hardware structure of the movement route recommending apparatus.
Fig. 9 is a schematic diagram of a hardware structure of a movement route recommendation device according to an embodiment of the present invention, and the movement route recommendation device 900 shown in fig. 9 includes: at least one processor 901, memory 902, a user interface 903, and at least one network interface 904. The various components of the movement route recommendation device 900 are coupled together by a bus system 905. It is understood that the bus system 905 is used to enable communications among the components. The bus system 905 includes a power bus, a control bus, and a status signal bus, in addition to a data bus. For clarity of illustration, however, the various buses are labeled in fig. 9 as bus system 905.
The user interface 903 may include a display, a keyboard, a mouse, a trackball, a click wheel, a key, a button, a touch pad, a touch screen, or the like, among others.
It will be appreciated that the memory 902 can be either volatile memory or nonvolatile memory, and can include both volatile and nonvolatile memory.
The memory 902 in the embodiment of the present invention is used to store various types of data to support the operation of the movement route recommending apparatus 900. Examples of such data include: any computer program for operating on movement route recommendation device 900, such as executable program 9021, may be included in executable program 9021 to implement methods of embodiments of the present invention.
The method disclosed in the above embodiments of the present invention may be applied to the processor 901, or implemented by the processor 901. The processor 901 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be implemented by integrated logic circuits of hardware or instructions in the form of software in the processor 901. The processor 901 described above may be a general purpose processor, a DSP, or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. Processor 901 may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present invention. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed by the embodiment of the invention can be directly implemented by a hardware decoding processor, or can be implemented by combining hardware and software modules in the decoding processor. The software modules may be located in a storage medium located in the memory 902, and the processor 901 reads the information in the memory 902 and performs the steps of the aforementioned methods in combination with its hardware.
In an exemplary embodiment, an embodiment of the present invention further provides a storage medium having an executable program stored thereon, where the executable program, when executed by the processor 901 of the movement route recommending apparatus 900, performs the following operations:
acquiring a graph outline corresponding to a target object;
determining at least one motion track matched with the figure outline;
and selecting a motion track meeting a preset recommendation condition from the at least one motion track as a motion route, and recommending.
The executable program, when executed by the processor 901 of the movement route recommending apparatus 900, further performs the following operations:
determining a target object from the selected target image;
and extracting the graphic outline of the target object.
The executable program, when executed by the processor 901 of the movement route recommending apparatus 900, further performs the following operations:
acquiring motion parameter information preset by a user;
and determining at least one motion track of the graph outline in a preset area according to the motion parameter information.
The executable program, when executed by the processor 901 of the movement route recommending apparatus 900, further performs the following operations:
determining map information in a preset area containing the position of the user based on the position of the user;
and determining at least one motion track corresponding to the graphic outline in the map information in the preset area containing the position of the user based on the motion distance of the user.
The executable program, when executed by the processor 901 of the movement route recommending apparatus 900, further performs the following operations:
determining the similarity of each motion track and the graph outline;
and selecting the motion trail with the similarity larger than a preset first threshold value as a motion route.
The executable program, when executed by the processor 901 of the movement route recommending apparatus 900, further performs the following operations:
mapping the characteristic points in the graph outline to the map coordinates of the motion trail by using a coordinate conversion algorithm, and determining a preset number of acquisition points;
for each motion trajectory: and calculating the distance between each acquisition point and the corresponding point in the motion trail, determining the number ratio of the points of which the distance is smaller than a preset second threshold value, and taking the ratio as the similarity.
The executable program, when executed by the processor 901 of the movement route recommending apparatus 900, further performs the following operations:
screening the movement route based on a preset screening dimension to obtain a screened movement route;
wherein the screening dimension comprises at least one of: starting position, area of motion.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or executable program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of an executable program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and executable program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by executable program instructions. These executable program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor with reference to a programmable data processing apparatus to produce a machine, such that the instructions, which execute via the computer or processor with reference to the programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These executable program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These executable program instructions may also be loaded onto a computer or reference programmable data processing apparatus to cause a series of operational steps to be performed on the computer or reference programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or reference programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (16)
1. A method for motion route recommendation, the method comprising:
acquiring a graph outline corresponding to a target object;
determining at least one motion track matched with the figure outline;
and selecting a motion track meeting a preset recommendation condition from the at least one motion track as a motion route, and recommending.
2. The method of claim 1, wherein obtaining the graphic profile corresponding to the target object comprises:
determining a target object from the selected target image;
and extracting the graphic outline of the target object.
3. The method of claim 1, wherein determining at least one motion trajectory that matches the graphical outline comprises:
acquiring motion parameter information preset by a user;
and determining at least one motion track of the graph outline in a preset area according to the motion parameter information.
4. The method of claim 3,
the motion parameter information at least includes: the position of the user and the movement distance of the user;
determining at least one motion track of the graph contour in a preset area according to the motion parameter information, wherein the motion track comprises:
determining map information in a preset area containing the position of the user based on the position of the user;
and determining at least one motion track corresponding to the graphic outline in the map information in the preset area containing the position of the user based on the motion distance of the user.
5. The method of claim 1,
the preset recommendation condition is that the similarity is greater than a preset threshold value;
selecting a motion trail meeting a preset recommendation condition from the at least one motion trail as a motion route, wherein the motion trail comprises:
determining the similarity of each motion track and the graph outline;
and selecting the motion trail with the similarity larger than a preset first threshold value as a motion route.
6. The method of claim 5, wherein determining the similarity of each motion trajectory to the graph profile comprises:
mapping the characteristic points in the graph outline to the map coordinates of the motion trail by using a coordinate conversion algorithm, and determining a preset number of acquisition points;
for each motion trajectory: and calculating the distance between each acquisition point and the corresponding point in the motion trail, determining the number ratio of the points of which the distance is smaller than a preset second threshold value, and taking the ratio as the similarity.
7. The method according to claim 1, wherein after the motion trail satisfying the preset recommendation condition is selected from the at least one motion trail as the motion route and before the motion route is recommended, the method further comprises:
screening the movement route based on a preset screening dimension to obtain a screened movement route;
wherein the screening dimension comprises at least one of: starting position, area of motion.
8. A movement route recommendation device, characterized in that the device comprises: the system comprises an acquisition module, a determination module and a recommendation module; wherein,
the acquisition module is used for acquiring a graph outline corresponding to the target object;
the determining module is used for determining at least one motion track matched with the figure outline;
and the recommending module is used for selecting the motion trail meeting the preset recommending condition from the at least one motion trail as the motion route and recommending the motion trail.
9. The apparatus of claim 8, wherein the obtaining module is specifically configured to: determining a target object from the selected target image; and extracting the graphic outline of the target object.
10. The apparatus of claim 8, wherein the determining module is specifically configured to:
acquiring motion parameter information preset by a user;
and determining at least one motion track of the graph outline in a preset area according to the motion parameter information.
11. The apparatus of claim 10,
the motion parameter information at least includes: the position of the user and the movement distance of the user;
the determining module is further specifically configured to:
determining map information in a preset area containing the position of the user based on the position of the user;
and determining at least one motion track corresponding to the graphic outline in the map information in the preset area containing the position of the user based on the motion distance of the user.
12. The apparatus of claim 8,
the preset recommendation condition is that the similarity is greater than a preset threshold value;
the recommendation module is specifically configured to:
determining the similarity of each motion track and the graph outline;
and selecting the motion trail with the similarity larger than a preset first threshold value as a motion route.
13. The apparatus of claim 12, wherein the recommendation module is further specifically configured to:
mapping the characteristic points in the graph outline to the map coordinates of the motion trail by using a coordinate conversion algorithm, and determining a preset number of acquisition points;
for each motion trajectory: and calculating the distance between each acquisition point and the corresponding point in the motion trail, determining the number ratio of the points of which the distance is smaller than a preset second threshold value, and taking the ratio as the similarity.
14. The apparatus of claim 8, further comprising a screening module to: screening the movement route based on a preset screening dimension to obtain a screened movement route;
wherein the screening dimension comprises at least one of: starting position, area of motion.
15. A storage medium having stored thereon an executable program, the executable program when executed by a processor implementing the steps of the method of any one of claims 1 to 7.
16. A movement route recommendation device comprising a memory, a processor and an executable program stored on the memory and executable by the processor, wherein the processor executes the executable program to perform the steps of the method of any one of claims 1 to 7.
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