CN110766717B - Following service method and device based on image recognition - Google Patents
Following service method and device based on image recognition Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30241—Trajectory
Abstract
The invention relates to the technical field of location-based services, in particular to a following service method and a device based on image recognition, wherein the following service method comprises the steps of firstly acquiring images of service areas acquired by distributed image acquisition devices in real time, wherein each distributed image acquisition device is configured with an independent network address, a corresponding space coordinate and a subregion; further detecting whether the image has the pedestrian characteristics in real time; when the pedestrian features exist in the image, determining a target person according to the pedestrian features, and acquiring the movement track of the target person in real time; and finally, controlling the running route of the mobile service equipment in real time according to the moving track so as to follow the target personnel for service until the target personnel quit the service area.
Description
Technical Field
The invention relates to the technical field of location-based services, in particular to a following service method and device based on image recognition.
Background
With the advent of the intelligent era, how to provide mobile intelligent equipment for target personnel, and therefore realizing location-based services such as following services becomes a new demand for social development, for example, realizing automatic following of shopping carts in supermarkets, and realizing services such as voice guidance and help seeking through small aircrafts in scenic spots.
In the prior art, a wireless network (such as a GSM network, a WLAN network, a WCDMA network, an LTE network, etc.) or an external positioning mode (such as a GPS) is mostly used to obtain location Information (Geographic coordinates or geodetic coordinates) of a mobile terminal user, and under the support of a Geographic Information System (GIS) platform, corresponding services are provided for target personnel. However, due to the limitation of the coverage range and the intensity of the signal, the geographical location information provided in this way is often limited in accuracy, and especially in an indoor environment, it is difficult to accurately locate the moving track of the target person, and it is difficult to implement the following service.
At present, the face recognition is mainly used in the aspects of face identity recognition and face identity authentication, and is used in the financial industry and security industry, such as financial equipment identity information acquisition, entrance guard, attendance checking and the like, and some face recognition is used in the entertainment aspect, such as face replacement, facial beautification and the like. At present, the use scene of face recognition is narrow, and most of face recognition in fixed places is limited in use.
Therefore, it is necessary to expand the use scenarios of face image recognition and to perform remote automatic service for the target person based on the face image recognition.
Disclosure of Invention
In order to solve the problems, the invention provides a following service method and a following service device based on image recognition, which can carry out remote automatic service on target personnel.
In order to achieve the above object, the present invention provides the following technical solutions:
a follow-up service method based on image recognition comprises the following steps:
acquiring images of service areas acquired by distributed image acquisition devices in real time, wherein each distributed image acquisition device is configured with an independent network address, a corresponding space coordinate and a sub-area;
detecting whether the image has pedestrian characteristics in real time;
when the pedestrian features exist in the image, determining target personnel according to the pedestrian features, and acquiring the moving track of the target personnel in real time;
and controlling the running route of the mobile service equipment in real time according to the moving track so as to follow the target personnel for service until the target personnel exits from the service area.
Further, the detecting whether the image has the pedestrian feature in real time includes:
acquiring images acquired by a distributed image acquisition device arranged at the edge of a service area in real time;
and judging whether the two acquired adjacent images have difference or not, and detecting whether the pedestrian feature exists in the next image or not in real time when the two adjacent images have difference.
Further, when the image has the pedestrian feature, determining a target person according to the pedestrian feature, and acquiring the moving track of the target person in real time, includes:
when the pedestrian features exist in the image, detecting a face image in the image;
extracting face features through the face image, taking people corresponding to the face features as target people, and configuring IDs corresponding to the target people;
and acquiring the moving track of the target person in real time according to the face features.
Further, the obtaining of the movement trajectory of the target person in real time according to the face features includes:
identifying face features from images acquired by a distributed image acquisition device in real time, matching IDs corresponding to target persons according to the face features, and matching sub-regions corresponding to the target persons according to the distributed image acquisition device;
extracting a face contour and a foot contour of a target person from the image in real time, confirming a moving central point of the target person according to the face contour and the foot contour, and positioning the specific position of the target person in the shooting area by recording the central point in the image in real time;
carrying out smoothing treatment on the central point, and preliminarily determining a first movement track of the target person in each sub-area;
acquiring a distributed image acquisition device corresponding to the target person in real time, and determining a sub-region where the target person is located according to the distributed image acquisition device;
obtaining sub-areas where the target personnel are located in real time, and determining a second movement track according to the change of the target personnel among the sub-areas;
and obtaining the movement track of the target person by combining the first movement track and the second movement track.
Further, the method further comprises:
and when the target person exits the service area, resetting the mobile service equipment to provide service for the reset target person.
A follow-up service apparatus based on image recognition, comprising:
the system comprises an image acquisition module, a service area acquisition module and a service area management module, wherein the image acquisition module is used for acquiring images of service areas acquired by distributed image acquisition devices in real time, and each distributed image acquisition device is configured with an independent network address, a corresponding space coordinate and a sub-area;
the personnel detection module is used for detecting whether the image has the pedestrian characteristics in real time;
the moving track acquisition module is used for determining a target person according to the pedestrian characteristics when the pedestrian characteristics exist in the image and acquiring the moving track of the target person in real time;
and the following module is used for controlling the running route of the mobile service equipment in real time according to the moving track so as to follow the target personnel for service until the target personnel exits from a service area.
Further, the people detection module is specifically configured to:
acquiring images acquired by a distributed image acquisition device arranged at the edge of a service area in real time;
and judging whether the two collected adjacent images have difference, and detecting whether the pedestrian characteristics exist in the next image in real time when the two adjacent images have difference.
Further, the moving trace obtaining module includes:
the face image detection module is used for detecting a face image in the image when the pedestrian feature exists in the image;
the target person determining module is used for extracting the face features through the face image, taking the person corresponding to the face features as a target person, and configuring the ID corresponding to the target person;
and the moving track acquisition module is used for acquiring the moving track of the target person in real time according to the human face characteristics.
Further, the movement track obtaining module is specifically configured to:
identifying face features from images acquired by a distributed image acquisition device in real time, matching IDs corresponding to target persons according to the face features, and matching sub-regions corresponding to the target persons according to the distributed image acquisition device;
extracting a face contour and a foot contour of a target person from the image in real time, confirming a moving central point of the target person according to the face contour and the foot contour, and positioning the specific position of the target person in the shooting area by recording the central point in the image in real time;
carrying out smoothing treatment on the central point, and preliminarily determining a first movement track of the target person in each sub-area;
acquiring a distributed image acquisition device corresponding to the target person in real time, and determining a sub-region where the target person is located according to the distributed image acquisition device;
obtaining sub-areas where the target personnel are located in real time, and determining a second movement track according to the change of the target personnel among the sub-areas;
and obtaining the movement track of the target person by combining the first movement track and the second movement track.
Further, the apparatus further comprises: a reset module to:
and when the target person exits the service area, resetting the mobile service equipment to provide service for the reset target person.
The invention has the beneficial effects that: the invention discloses a following service method and a device based on image recognition, which comprises the steps of firstly, acquiring images of service areas acquired by distributed image acquisition devices in real time, wherein each distributed image acquisition device is provided with an independent network address, a corresponding space coordinate and a sub-area; further detecting whether the image has the pedestrian characteristics in real time; when the pedestrian features exist in the image, determining target personnel according to the pedestrian features, and acquiring the moving track of the target personnel in real time; and finally, controlling the running route of the mobile service equipment in real time according to the moving track so as to follow the target personnel for service until the target personnel exits from the service area. The invention can carry out remote automatic service on target personnel.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a following service method based on image recognition according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating step S300 according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a following service device based on image recognition according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a moving trace obtaining module according to an embodiment of the present invention.
Detailed Description
The conception, specific structure and technical effects of the present disclosure will be clearly and completely described below in conjunction with the embodiments and the accompanying drawings to fully understand the objects, aspects and effects of the present disclosure. It should be noted that, in the present application, the embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, fig. 1 shows a following service method based on image recognition, including the following steps:
and S100, acquiring an image of the service area acquired by the distributed image acquisition device in real time.
In step S100 of this embodiment, distributed image acquisition devices are arranged in a physical space of a service area, each distributed image acquisition device can acquire an image of a corresponding area, and all the distributed image acquisition devices collectively acquire an image of the entire service area, each distributed image acquisition device is configured with an independent network address, a corresponding spatial coordinate, and a sub-area, and each distributed image acquisition device is connected in communication, so as to acquire an image of the service area in real time.
And S200, detecting whether the image has pedestrian characteristics in real time.
In step S200 of this embodiment, a distributed image acquisition device disposed at the edge of a service area is used as an image acquisition entry, and the image acquisition is performed on the service area entry, so as to detect whether a person enters the service area in real time according to the image. Obviously, if the pedestrian feature exists in the image, it can be determined that a person enters the service area.
And S300, when the pedestrian features exist in the image, determining a target person according to the pedestrian features, and acquiring the movement track of the target person in real time.
And S400, controlling the running route of the mobile service equipment in real time according to the moving track so as to follow the target personnel for service until the target personnel exits from a service area.
In this embodiment, first, an image of a service area acquired by distributed image acquisition devices is acquired in real time, wherein each distributed image acquisition device is configured with an independent network address, a corresponding space coordinate and a sub-area, and the sub-area refers to a continuous block area obtained by dividing the service area, so that the service area can be monitored in a sub-area manner according to each distributed image acquisition device, and a continuous sub-area covering the service area is formed; further detecting whether the image has the pedestrian characteristics in real time; when the pedestrian features exist in the image, determining a target person according to the pedestrian features, and acquiring the movement track of the target person in real time; and finally, controlling the running route of the mobile service equipment in real time according to the moving track so as to follow the target personnel for service until the target personnel exits from the service area. According to the invention, the image of the service area is acquired through the distributed image acquisition device, the pedestrian characteristics of the target personnel are acquired in real time in an image identification mode, and the moving track of the target personnel can be accurately and completely identified, so that the remote automatic service of the target personnel is realized.
In one embodiment, the step S200 includes:
acquiring images acquired by a distributed image acquisition device arranged at the edge of a service area in real time;
and judging whether the two collected adjacent images have difference, and detecting whether the pedestrian characteristics exist in the next image in real time when the two adjacent images have difference.
In an optional embodiment, a pedestrian detection algorithm is adopted to detect whether the pedestrian feature exists in the next image in real time.
Referring to fig. 2, in one embodiment, the step S300 includes:
and S310, detecting a face image in the image when the pedestrian feature is detected to exist in the image.
Obviously, when the pedestrian feature is detected in the image, the fact that a person enters the service area is indicated.
Step S320, extracting the face features through the face image, taking the person corresponding to the face features as a target person, and configuring the ID corresponding to the target person.
The ID described in this embodiment refers to an identification, and the ID corresponding to the target person is used to identify the unique identification information corresponding to the target person.
And S330, acquiring the moving track of the target person in real time according to the human face characteristics.
In an embodiment, the step S330 specifically includes the following steps:
step one, identifying face features from images acquired by a distributed image acquisition device in real time, matching IDs corresponding to target persons according to the face features, and matching sub-regions corresponding to the target persons according to the distributed image acquisition device;
secondly, extracting a face contour and a foot contour of the target person from the image in real time, confirming a moving central point of the target person according to the face contour and the foot contour, and positioning the specific position of the target person in the shooting area by recording the central point in the image in real time;
step three, smoothing the central point, and preliminarily determining a first movement track of the target person in each sub-area;
in this step, an FIR filter or an IIR filter may be used to smooth the center point, and the center point is denoised, so as to facilitate subsequent extraction of the first movement trajectory.
Acquiring a distributed image acquisition device corresponding to the target person in real time, and determining a subregion where the target person is located according to the distributed image acquisition device;
in this step, the distributed image acquisition device corresponding to the target person is understood as acquiring a corresponding face feature by the target person, matching an image corresponding to the face feature, then acquiring the distributed image acquisition device for acquiring the image, and further acquiring a subregion corresponding to the distributed image acquisition device, where the subregion is a subregion where the target person is located.
Fifthly, obtaining the sub-areas where the target personnel are located in real time, and determining a second movement track according to the change of the target personnel among the sub-areas;
in the step of this embodiment, by acquiring the sub-area where the target person is located in real time, when the sub-area where the target person is located is changed, two sub-areas before and after the change are recorded, and the sub-areas where the target person is changed in the service area are sequentially connected, so that a second movement track is formed.
And step six, obtaining the movement track of the target person by combining the first movement track and the second movement track.
In one embodiment, the method further comprises:
and when the target person exits the service area, resetting the mobile service equipment to provide service for the reset target person.
Referring to fig. 3, an embodiment of the present disclosure further provides a following service device based on image recognition, including:
the image acquisition module 100 is used for acquiring an image of a service area acquired by the distributed image acquisition device in real time;
the personnel detection module 200 is used for detecting whether the image has pedestrian characteristics in real time;
a moving trajectory acquiring module 300, configured to determine a target person according to a pedestrian feature when the pedestrian feature exists in the image, and acquire a moving trajectory of the target person in real time;
and a following module 400, configured to control an operation route of the mobile service device in real time according to the movement trajectory, so as to follow the target person for service until the target person exits from a service area.
In one embodiment, the people detection module 200 is specifically configured to:
acquiring images acquired by a distributed image acquisition device arranged at the edge of a service area in real time;
and judging whether the two collected adjacent images have difference, and detecting whether the pedestrian characteristics exist in the next image in real time when the two adjacent images have difference.
Referring to fig. 4, in one embodiment, the moving trace acquiring module 300 includes:
a face image detection module 310, configured to detect a face image in the image when it is detected that the image has a pedestrian feature.
And a target person determining module 320, configured to extract a face feature from the face image, use a person corresponding to the face feature as a target person, and configure an ID corresponding to the target person.
A movement track obtaining module 330, configured to obtain a movement track of the target person in real time according to the face feature.
In an embodiment, the movement track obtaining module 330 is specifically configured to:
identifying face features from images acquired by a distributed image acquisition device in real time, matching IDs corresponding to target persons according to the face features, and matching sub-regions corresponding to the target persons according to the distributed image acquisition device;
extracting a face contour and a foot contour of a target person from the image in real time, confirming a moving central point of the target person according to the face contour and the foot contour, and positioning the specific position of the target person in the shooting area by recording the central point in the image in real time;
carrying out smoothing treatment on the central point, and preliminarily determining a first movement track of the target person in each sub-area;
acquiring a distributed image acquisition device corresponding to the target person in real time, and determining a sub-region where the target person is located according to the distributed image acquisition device;
obtaining sub-areas where the target personnel are located in real time, and determining a second movement track according to the change of the target personnel among the sub-areas;
and obtaining the movement track of the target person by combining the first movement track and the second movement track.
In one embodiment, the apparatus further comprises: a reset module to:
and when the target person exits the service area, resetting the mobile service equipment to provide service for the reset target person.
Compared with the prior art, the following service device based on image recognition provided in the embodiment of the present invention has the same beneficial effects as the following service method based on image recognition provided in the embodiment, and details are not repeated herein.
From the above description of the embodiments, it is clear for those skilled in the art that the method of the embodiments described above can be implemented by software plus necessary general hardware platform, and based on such understanding, the technical solution of the present invention or the portions contributing to the prior art can be embodied in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, and including several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method of the embodiments of the present invention.
While the present disclosure has been described in considerable detail and with particular reference to a few illustrative embodiments thereof, it is not intended to be limited to any such details or embodiments or any particular embodiments, but it is to be construed as effectively covering the intended scope of the disclosure by providing a broad, potential interpretation of such claims in view of the prior art with reference to the appended claims. Furthermore, the foregoing describes the disclosure in terms of embodiments foreseen by the inventor for which an enabling description was available, notwithstanding that insubstantial modifications of the disclosure, not presently foreseen, may nonetheless represent equivalent modifications thereto.
Claims (6)
1. A following service method based on image recognition is characterized by comprising the following steps:
acquiring images of service areas acquired by distributed image acquisition devices in real time, wherein each distributed image acquisition device is configured with an independent network address, a corresponding space coordinate and a sub-area;
detecting whether the image has pedestrian characteristics in real time;
when the pedestrian features exist in the image, determining target personnel according to the pedestrian features, and acquiring the moving track of the target personnel in real time;
controlling the running route of mobile service equipment in real time according to the moving track so as to follow the target personnel for service until the target personnel exits from a service area;
when the image has the pedestrian feature, determining a target person according to the pedestrian feature, and acquiring the moving track of the target person in real time, wherein the method comprises the following steps:
when the pedestrian feature is detected to exist in the image, detecting a face image in the image;
extracting face features through the face image, taking people corresponding to the face features as target people, and configuring IDs corresponding to the target people;
acquiring the moving track of the target person in real time according to the face features;
the obtaining of the movement track of the target person in real time according to the face features includes:
identifying face features from images acquired by a distributed image acquisition device in real time, matching IDs corresponding to target persons according to the face features, and matching sub-regions corresponding to the target persons according to the distributed image acquisition device;
extracting a face contour and a foot contour of a target person from the image in real time, confirming a moving central point of the target person according to the face contour and the foot contour, and positioning the specific position of the target person in the shooting area by recording the central point in the image in real time;
carrying out smoothing treatment on the central point, and preliminarily determining a first movement track of the target person in each sub-area;
acquiring a distributed image acquisition device corresponding to the target person in real time, and determining a sub-region where the target person is located according to the distributed image acquisition device;
obtaining sub-areas where the target personnel are located in real time, and determining a second movement track according to the change of the target personnel among the sub-areas;
and obtaining the movement track of the target person by combining the first movement track and the second movement track.
2. The image recognition-based following service method according to claim 1, wherein the detecting whether the pedestrian feature exists in the image in real time comprises:
acquiring images acquired by a distributed image acquisition device arranged at the edge of a service area in real time;
and judging whether the two collected adjacent images have difference, and detecting whether the pedestrian characteristics exist in the next image in real time when the two adjacent images have difference.
3. The image recognition-based following service method according to claim 1, further comprising:
and when the target person exits the service area, resetting the mobile service equipment to provide service for the reset target person.
4. A follow-up service apparatus based on image recognition, comprising:
the system comprises an image acquisition module, a service area acquisition module and a service area management module, wherein the image acquisition module is used for acquiring images of service areas acquired by distributed image acquisition devices in real time, and each distributed image acquisition device is configured with an independent network address, a corresponding space coordinate and a sub-area;
the personnel detection module is used for detecting whether the image has pedestrian characteristics in real time;
the moving track acquisition module is used for determining a target person according to the pedestrian characteristics when the pedestrian characteristics exist in the image and acquiring the moving track of the target person in real time;
the following module is used for controlling the running route of the mobile service equipment in real time according to the moving track so as to follow the target personnel for service until the target personnel quit the service area;
wherein the moving trace obtaining module includes:
the face image detection module is used for detecting a face image in the image when the pedestrian feature exists in the image;
the target person determining module is used for extracting the face features through the face image, taking the person corresponding to the face features as a target person, and configuring the ID corresponding to the target person;
the moving track acquisition module is used for acquiring the moving track of the target person in real time according to the human face features;
the movement track acquisition module is specifically configured to:
identifying face features from images acquired by a distributed image acquisition device in real time, matching IDs corresponding to target persons according to the face features, and matching sub-regions corresponding to the target persons according to the distributed image acquisition device;
extracting a face contour and a foot contour of a target person from the image in real time, confirming a moving central point of the target person according to the face contour and the foot contour, and positioning the specific position of the target person in the shooting area by recording the central point in the image in real time;
carrying out smoothing treatment on the central point, and preliminarily determining a first movement track of the target person in each sub-area;
acquiring a distributed image acquisition device corresponding to the target person in real time, and determining a sub-region where the target person is located according to the distributed image acquisition device;
obtaining sub-areas where the target personnel are located in real time, and determining a second movement track according to the change of the target personnel among the sub-areas;
and obtaining the movement track of the target person by combining the first movement track and the second movement track.
5. The image recognition-based following service device according to claim 4, wherein the person detection module is specifically configured to:
acquiring images acquired by a distributed image acquisition device arranged at the edge of a service area in real time;
and judging whether the two collected adjacent images have difference, and detecting whether the pedestrian characteristics exist in the next image in real time when the two adjacent images have difference.
6. The image recognition-based following service device according to claim 4, further comprising: a reset module to:
and after the target personnel exits the service area, resetting the mobile service equipment to provide service for the reset target personnel.
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| CN114089640A (en) * | 2021-11-11 | 2022-02-25 | 广东美的厨房电器制造有限公司 | Control method, follower device, and computer-readable storage medium |
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