CN109740525A - The determination method and device of object in a kind of video - Google Patents
The determination method and device of object in a kind of video Download PDFInfo
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- CN109740525A CN109740525A CN201811648118.XA CN201811648118A CN109740525A CN 109740525 A CN109740525 A CN 109740525A CN 201811648118 A CN201811648118 A CN 201811648118A CN 109740525 A CN109740525 A CN 109740525A
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Abstract
The invention discloses a kind of determination method and devices of object in video.The described method includes: obtaining the video to be processed that monitoring device is shot within a preset period of time, for any object to be identified, the M image information that object to be identified is searched from N frame image determines the identification image of object to be identified according to M image information of object to be identified.In the embodiment of the present invention, due to being using the collected video to be processed of monitoring device as process object, therefore, it can be according to image information of the object to be identified in video to be processed in every frame image, to determine the identification image of object to be identified, it is subsequent in turn to be identified and be filed according to the identification image of object to be identified, to improve the accuracy of Object identifying.
Description
Technical field
The present invention relates to a kind of determination method and devices of object in technical field of video processing more particularly to video.
Background technique
In today's society, for the needs of safeguard management, it is various public that monitoring device has been covered with street, community, building etc.
Occasion.When alert occurs, the image of suspect or suspected vehicles is first determined from the video data that monitoring device acquires, so
Suspect or suspected vehicles are tracked down and arrested according to the image of suspect or suspected vehicles by police afterwards.
In the prior art, monitoring device acquisition video flowing after, mostly use to every frame image in video flowing carry out detection and
Identification, determines the objects such as face or the vehicle in every frame image, then again matches the object detected in each frame image,
Determine all images an of object, this method is imitated due to needing to be detected and identified that calculation amount is larger to every frame image
Rate is low.
Summary of the invention
The embodiment of the present invention provides a kind of determination method and device of object in video, to solve to need in the prior art pair
The technical issues of every frame image detected and identified, calculation amount is larger, low efficiency.
The embodiment of the present invention provides a kind of determination method of object in video, which comprises
The video to be processed that monitoring device is shot within a preset period of time is obtained, the video to be processed includes N frame
Image；N is more than or equal to 2；
For the first object to be identified, the M image letter of first object to be identified is searched from the N frame image
Breath；The corresponding frame image of each image information；First object to be identified be any frame image include it is any to be identified right
As；
According to M image information of first object to be identified, the identification image of first object to be identified is determined.
In the embodiment of the present invention, due to be using the collected video to be processed of monitoring device as process object, can
With the image information according to the object to be identified in video to be processed in every frame image, to determine the identification figure of object to be identified
Picture, so it is subsequent can be identified and be filed according to the identification image of object to be identified, to improve the accurate of Object identifying
Property.
In one possible implementation, for the first object to be identified, described first is searched from the N frame image
M image information of object to be identified, comprising:
For the first image, if the first image is detection frame image, object detection is carried out to the first image,
Determine the corresponding image information of each object to be identified in the first image；If the first image is prediction frame image, root
According to the corresponding image information of each object to be identified in the second image, predict each object to be identified in the first image
Corresponding image information；The first image is any of described N frame image, and second image is the first image
Adjacent image and have determined that or predict the corresponding image information of object to be identified.
In one possible implementation, the view to be processed that monitoring device is shot within a preset period of time is obtained
Frequently, comprising:
The monitoring device is obtained in second image being sequentially output in chronological order within a preset period of time
And the first image；Second image is exported earlier than the first image.
In one possible implementation, for the first object to be identified, described first is searched from the N frame image
After M image information of object to be identified, further includes:
Location information of the object to be identified in different frame image is recorded, is existed with being used to form the object to be identified
Trace information under the monitoring device.
In one possible implementation, according to M image information of first object to be identified, described is determined
The identification image of one object to be identified, comprising:
According to M image information of first object to be identified, K image information is chosen as the object to be identified
Identification image；Alternatively,
According to M image information of first object to be identified, K image information is chosen, and according to the K image
Information generates the identification image of first object to be identified.
The embodiment of the present invention provides a kind of determining device of object in video, and described device includes:
Acquiring unit, the video to be processed shot within a preset period of time for obtaining monitoring device are described wait locate
Managing video includes N frame image；N is more than or equal to 2；
Processing unit searches first object to be identified for being directed to the first object to be identified from the N frame image
M image information；According to M image information of first object to be identified, the knowledge of first object to be identified is determined
Other image；The corresponding frame image of each image information；First object to be identified be any frame image include it is any wait know
Other object.
In one possible implementation, the processing unit is specifically used for:
For the first image, if the first image is detection frame image, object detection is carried out to the first image,
Determine the corresponding image information of each object to be identified in the first image；If the first image is prediction frame image, root
According to the corresponding image information of each object to be identified in the second image, predict each object to be identified in the first image
Corresponding image information；The first image is any of described N frame image, and second image is the first image
Adjacent image and have determined that or predict the corresponding image information of object to be identified.
In one possible implementation, the acquiring unit is specifically used for:
The monitoring device is obtained in second image being sequentially output in chronological order within a preset period of time
And the first image；Second image is exported earlier than the first image.
In one possible implementation, the processing unit is also used to:
Location information of the object to be identified in different frame image is recorded, is existed with being used to form the object to be identified
Trace information under the monitoring device.
In one possible implementation, the processing unit is specifically used for:
According to M image information of first object to be identified, K image information is chosen as the object to be identified
Identification image；Alternatively,
According to M image information of first object to be identified, K image information is chosen, and according to the K image
Information generates the identification image of first object to be identified.
The embodiment of the present application also provides a kind of device, which, which has, realizes that object is really in video as described above
Determine the function of method.The function can execute corresponding software realization by hardware, in a kind of possible design, the device packet
It includes: processor, transceiver, memory；The memory is for storing computer executed instructions, and the transceiver is for realizing the device
It is communicated with other communication entities, which is connect with the memory by the bus, when the apparatus is operative, the processing
Device executes the computer executed instructions of memory storage, so that the device executes in video as described above object really
Determine method.
The embodiment of the present invention also provides a kind of computer storage medium, stores software program in the storage medium, this is soft
Part program realizes view described in above-mentioned various possible implementations when being read and executed by one or more processors
The determination method of object in frequency.
The embodiment of the present invention also provides a kind of computer program product comprising instruction, when run on a computer,
So that computer executes the determination method of object in video described in above-mentioned various possible implementations.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly introduced.
Fig. 1 is the schematic diagram for the system architecture that the embodiment of the present invention is applicable in；
Fig. 2 is flow diagram corresponding to the determination method of object in a kind of video provided in an embodiment of the present invention；
Fig. 3 is that the embodiment of the invention provides a kind of structural schematic diagrams of the device of determining object to be identified.
Specific embodiment
The application is specifically described with reference to the accompanying drawings of the specification, the concrete operation method in embodiment of the method can also
To be applied in Installation practice.
The determination of object in the embodiment of the present invention can be applied to image filing, such as using monitoring device acquisition
When video flowing is filed, it can be determined using the method for the identification image for determining object in the embodiment of the present invention same in video flowing
Object box of an object in every frame image, then using the corresponding object box of the object as the identification image of object, after being used for
Continuous filing.
Fig. 1 illustrates the schematic diagram of the applicable system architecture of the embodiment of the present invention, includes in the system architecture
Monitoring device 101, server 102.Monitoring device 101 acquires video flowing in real time, then by the video stream of acquisition to service
Device 102 includes the determining device of object in video in server 102, and server 102 obtains image from video flowing, then really
Determine the corresponding image-region of object in image.Monitoring device 101 is connect by wireless network with server 102, monitoring device
It is the electronic equipment, such as camera, video camera, video recorder etc. for having acquisition image function.Server 102 is a server
Or the server cluster or cloud computing center of several servers composition.
Based on system architecture shown in FIG. 1, Fig. 2 illustrates object in a kind of video provided in an embodiment of the present invention
Determination method corresponding to flow diagram, the process of this method can execute by the determining device of object in video, video
The determining device of middle object can be server 102 shown in FIG. 1, as shown in Fig. 2, specifically includes the following steps:
Step 201, the video to be processed that monitoring device is shot within a preset period of time is obtained.
Video to be processed may include N frame image；N is more than or equal to 2.
Further, accessed video to be processed can be monitoring device within a preset period of time in chronological order according to
The second image and the first image of secondary output, wherein the second image is exported earlier than the first image.
Step 202, for the first object to be identified, the M image letter of the first object to be identified is searched from N frame image
Breath.
The corresponding frame image of each image information, the first object to be identified be any frame image include it is any to be identified right
As.Object to be identified can be the objects such as face or vehicle.
Specifically, the image of video to be processed is marked in advance, the figure that will be detected in video to be processed
It is prediction frame image by the image tagged predicted as being labeled as detection frame image.Illustratively, one section of video is set
Include 10 frame images in stream, is detection frame image, the second frame image to the 4th frame by first frame image and the 5th frame image tagged
Image tagged is prediction frame image, and the 6th frame to the tenth frame flag is prediction frame image.
Since the image in the video flowing of monitoring device acquisition is first divided into detection frame image and non-detection frame image, therefore
When obtaining the first image, first judge whether the first image is detection frame image, if it is, to be identified in the first image of detection
Otherwise object is predicted the object to be identified in the first image using the object to be identified in the second image, therefore is not needed to every frame
Images to be recognized is detected and is identified, to reduce the calculation amount of the object to be identified in determining image, is improved simultaneously
Efficiency.
For the first image, it can be determined that the first image is detection frame image or prediction frame image, according to judging result,
Following two situation can be distinguished.
Situation one:
If the first image is detection frame image, object detection can be carried out to the first image, determined each in the first image
The corresponding image information of object to be identified.For example, Face datection is carried out to the first image, determines each face in the first image
Corresponding image information.By way of further example, vehicle detection is carried out to the first image, determines that each vehicle in the first image is corresponding
Image information.
It is possible to further first carry out object detection to the first image, determine that each object to be identified is corresponding in the first image
Detection image region, and then can determine the image information in the corresponding detection image region of each object to be identified, i.e., respectively to
Identify the corresponding image information of object.Wherein, image-region can be the frames images with regular shape, or not have rule
The frames images of shape.
Optionally, for any object to be identified, the key point of test object in the image-region of object to be identified.Root
Object to be identified corresponding image-region in the first image is adjusted according to key point.
Specifically, the key point of object is the key point of object for identification, for example, face key point can for eyes,
Nose, mouth, ear, hair etc..The key point of vehicle may include license plate, vehicle window, wheel etc..
Illustratively, the key point in face frame is detected, if in the key point of detection including two eyes, a nose,
Then illustrate that the face in the face frame is face front, and mouth is not included in face frame, then can expand people downwards
Face frame makes the mouth in face frame comprising face.
Due to detecting the key point of object to be identified, it is then based on key point adjustment image-region, to make image-region
It is more acurrate.
Situation two:
If the first image is prediction frame image, can be believed according to the corresponding image of each object to be identified in the second image
Breath, predicts each object to be identified corresponding image information in the first image.Wherein, the first image is any in N frame image
A, the second image is the adjacent image of the first image of monitoring device acquisition and has determined that or predict object to be identified correspondence
Image information.Specifically, the second image can be detection frame image or non-detection frame image.
It is possible to further elder generation according to the corresponding image-region of object to be identified each in the second image, predict each to be identified
Object corresponding image-region in the first image, and then can predict each object to be identified correspondence image area in the first image
Image information in domain, i.e., each object to be identified corresponding image information in the first image.
Specifically, it for the corresponding image-region of any object to be identified in the second image, is determined from the first image
The similarity of image-region corresponding with the object to be identified is greater than the image-region of preset threshold out, as the object to be identified
The corresponding forecast image region in the first image.
For example, the corresponding frames images of each object to be identified in known second image are set, in the second image to
It identifies the corresponding frames images of object A, determines to be greater than with the similarity of the frames images of object to be identified A from the first image default
The frames images of threshold value, as frames images of the object to be identified A in the first image.
For example, setting object to be identified as face, it is known that the corresponding face frame of face in the second image, for second wait know
The corresponding face frame of each face in other image is determined to be greater than preset threshold with the similarity of the face frame from the first image
Face frame, as face frame of the face in the first images to be recognized.
In another example setting object to be identified as vehicle, it is known that the corresponding vehicle frame of vehicle in the second image, for the second figure
The corresponding vehicle frame of each vehicle as in determines the vehicle for being greater than preset threshold with the similarity of the vehicle frame from the first image
Frame, as vehicle frame of the vehicle in the first image.
In a kind of possible embodiment, the apparent region of feature is selected from object to be identified, by the region and the
One image is compared, and the image-region for being greater than preset threshold with the similarity in the region is determined from the first image, then
Object to be identified corresponding image-region in the first image is used as after image-region is expanded.
For example, object to be identified is set as face, it is known that the corresponding face frame of face in the second image, for second
Face frame in image, the apparent region of feature in selection face frame, such as mouth and beard first, by feature in face frame
Apparent region is compared with the first image, determines to be greater than preset threshold with the similarity in the region from the first image
Image-region is used as the face corresponding face frame in the first image after then expanding image-region.
By way of further example, object to be identified is set as vehicle, it is known that the corresponding vehicle frame of vehicle in the second image, for
Vehicle frame in two images, the apparent region of feature in selection vehicle frame, such as wheel and vehicle window first will be special in vehicle frame
It levies apparent region to be compared with the first image, determines to be greater than preset threshold with the similarity in the region from the first image
Image-region, after then image-region is expanded be used as the vehicle corresponding vehicle frame in the first image.
In view of the possible more than one of image-region that similarity is greater than preset threshold, the embodiment of the present invention can be further
The quantity for being greater than the image-region of preset threshold to similarity judges.
If similarity be greater than preset threshold image-region only one, by the similarity be greater than preset threshold image
Region corresponding image-region in the first image as object to be identified.
If the image-region that similarity is greater than preset threshold is more than one, then, a kind of possible implementation is to choose
The highest image-region of similarity corresponding image-region in the first image as object to be identified, so as to avoid one to
Identification object corresponds to multiple images region in an image.
Alternatively possible implementation is the position of the corresponding image-region of object to be identified in the second image of selected distance
Set nearest image-region, as object to be identified in the first image corresponding image-region.
Since the time interval between the images to be recognized of monitoring device acquisition is shorter, therefore in adjacent two images to be recognized
The mobile distance of same object to be identified is shorter, predicts the image-region of the object to be identified in the second image in the first image
Image-region when, image-region that can be nearest with the image-region of object to be identified in the second image of selected distance, as to
Identify object corresponding image-region in the first image, correspondence is more in an image so as to avoid an object to be identified
A image-region.
Optionally, each object to be identified is predicted in the first image after corresponding image-region, for any to be identified
Object detects the key point of object to be identified in the image-region of object to be identified.Object to be identified is adjusted according to key point
The corresponding image-region in the first image.
Specifically, the key point of object to be identified is the key point of the second object for identification, such as the key point of face
For eyes, nose, mouth, ear, hair etc..The key point of vehicle includes license plate, vehicle window, wheel etc..
For example, object to be identified is set as face, predicts that face after corresponding face frame, detects in the first image
Key point in face frame illustrates the face in the face frame if including two eyes, a nose in the key point of monitoring
It is positive for face, and mouth is not included in face frame, then can expand face frame downwards, is made in face frame comprising face
Mouth.
By way of further example, object to be identified is set as vehicle, predicts that vehicle after corresponding vehicle frame, is examined in the first image
Key point in measuring car frame illustrates that the vehicle in the vehicle frame is vehicle if in the key point of monitoring including a front window
Front, and front vehicle wheel is not included in vehicle frame, then can expand vehicle frame downwards makes in vehicle frame comprising vehicle
Front vehicle wheel.
Due to after the image-region in the first other image, detecting the key of object to be identified in prediction object to be identified
Point is then based on the image-region of key point adjustment object to be identified, to keep the image-region of object to be identified more acurrate.
It, can also be to this M in the embodiment of the present invention after finding M image information of the first object to be identified
Image information (image information that the image information and prediction obtained including detection obtains), may further determine that M image letter
It ceases no for images to be recognized (such as facial image or vehicle image or other images).
Due to first judging whether detection image information and forecast image information are images to be recognized, then according to same wait know
The detection image information for having been determined as images to be recognized and forecast image information of other object, determine the identification figure of object to be identified
Picture further increases the subsequent identification image using object to be identified to improve the precision of the identification image of object to be identified
The accuracy filed.
Optionally, after executing above-mentioned steps 202, position of the object to be identified in different frame image can also be recorded
Information, to be used to form trace information of the object to be identified under monitoring device.In this way, can be improved subsequent to object to be identified
The convenience being tracked.
Step 203, according to M image information of the first object to be identified, the identification image of the first object to be identified is determined.
A kind of possible implementation is, according to M image information of the first object to be identified, to choose K image information
Identification image as the object to be identified.Specifically, it there are many selection modes of K image information, can be according to every
What the quality of a image information was chosen, for example choose the image information of quality preferably (image clearly, image are complete)；Or it can also
To be the figure chosen according to the shooting angle of each image information, for example choose shooting angle preferably (positive shooting angle)
As information, specifically without limitation.
For example, setting same object to be identified includes 10 image informations in 10 frame images to be recognized, then will be from
8 identification images that 8 quality are preferably used as object to be identified are chosen in this 10 image informations.
Alternatively possible implementation is, according to M image information of the first object to be identified, to choose K image letter
Breath, and according to the identification image of K image information the first object to be identified of generation.Specifically, the selection mode of each image information of K
It is similar with content as described above, it is not described in detail herein.
For example, setting same object to be identified includes 10 image informations in 10 frame images to be recognized, then will be from
8 preferable image informations of quality are chosen in this 10 image informations, and are 1 identification image by this 8 image information fusions.
In the embodiment of the present invention, due to be using the collected video to be processed of monitoring device as process object, can
With the image information according to the object to be identified in video to be processed in every frame image, to determine the identification figure of object to be identified
Picture, so it is subsequent can be identified and be filed according to the identification image of object to be identified, to improve the accurate of Object identifying
Property.
It optionally, can also be according to the first object to be identified after determining the identification image of the first object to be identified
It identifies image, the first object to be identified is identified or filed.
Embodiment in order to preferably explain the present invention describes the embodiment of the present invention below with reference to specific implement scene and provides
A kind of video in object determination method, this method can by video object determining device execute.
Setting includes 10 frame images to be recognized in video flowing, and wherein first frame images to be recognized is detection frame image, third
Frame images to be recognized is detection frame image.First frame images to be recognized is detected first, determines first frame images to be recognized
In each identification object the first detection block.For the first detection block for identifying object A in first frame images to be recognized, first to the
It identifies that the key point of object A is detected in one detection block, the first detection block is adjusted according to the key point of detection.Then prediction is known
The first detection block of other object A is in corresponding second prediction block of the second frame images to be recognized.To identification object A in the second prediction block
Key point detected, according to the key point of detection adjust the second prediction block.The second prediction of Forecasting recognition object A again later
Frame corresponding third prediction block in third frame images to be recognized examines the key point of identification object A in third prediction block
It surveys, third prediction block is adjusted according to the key point of detection.Third frame images to be recognized is detected simultaneously, determines that third frame waits for
Identify the third detection block of image.There are a third detection blocks and knowledge in the third detection block of setting third frame images to be recognized
There are intersections for the third prediction block of other object A, then using the third face prediction block of third detection block amendment identification object A.
Whether the third prediction block for judging revised identification object A again later is facial image, if so, the identification after forecast value revision
The third prediction block of object A is in corresponding 4th prediction block of the 4th frame images to be recognized.And so on, until being unable to Forecasting recognition
Object A prediction block in next frame images to be recognized.It sets in 10 frame images to be recognized, corresponding 8 frames of identification object A then will
This 8 frames as identification object A identification image, for it is subsequent to identification object A carry out identification or to identification object A return
Shelves.
In addition in the third face detection block of third frame images to be recognized, as the third party with third frame images to be recognized
When face prediction block does not have intersection, such third face detection block is determined as the corresponding Face datection frame of a new face.It is right
Key point in third face detection block is detected, and adjusts third face detection block according to the key point of detection.Then judge
Whether third face detection block is facial image, if so, prediction third face detection block is corresponding in the 4th frame images to be recognized
The 4th face prediction block, and so on, until that cannot predict the face prediction block in next frame images to be recognized.
Based on the same technical idea, the embodiment of the invention provides a kind of devices of determining object to be identified, such as Fig. 3 institute
Show, which includes acquiring unit 301 and processing unit 302；Wherein:
Acquiring unit 301, the video to be processed shot within a preset period of time for obtaining monitoring device, it is described to
Handling video includes N frame image；N is more than or equal to 2；
Processing unit 302 is used to be directed to the first object to be identified, and it is to be identified to search described first from the N frame image
M image information of object；According to M image information of first object to be identified, first object to be identified is determined
Identification image；The corresponding frame image of each image information；First object to be identified is any that any frame image includes
Object to be identified.
In one possible implementation, the processing unit 302 is specifically used for:
For the first image, if the first image is detection frame image, object detection is carried out to the first image,
Determine the corresponding image information of each object to be identified in the first image；If the first image is prediction frame image, root
According to the corresponding image information of each object to be identified in the second image, predict each object to be identified in the first image
Corresponding image information；The first image is any of described N frame image, and second image is the first image
Adjacent image and have determined that or predict the corresponding image information of object to be identified.
In one possible implementation, the acquiring unit 301 is specifically used for:
The monitoring device is obtained in second image being sequentially output in chronological order within a preset period of time
And the first image；Second image is exported earlier than the first image.
In one possible implementation, the processing unit 302 is also used to:
Location information of the object to be identified in different frame image is recorded, is existed with being used to form the object to be identified
Trace information under the monitoring device.
In one possible implementation, the processing unit 302 is specifically used for:
According to M image information of first object to be identified, K image information is chosen as the object to be identified
Identification image；Alternatively,
According to M image information of first object to be identified, K image information is chosen, and according to the K image
Information generates the identification image of first object to be identified.
The embodiment of the present application also provides a kind of device, which, which has, realizes that object is really in video as described above
Determine the function of method.The function can execute corresponding software realization by hardware, in a kind of possible design, the device packet
It includes: processor, transceiver, memory；The memory is for storing computer executed instructions, and the transceiver is for realizing the device
It is communicated with other communication entities, which is connect with the memory by the bus, when the apparatus is operative, the processing
Device executes the computer executed instructions of memory storage, so that the device executes in video as described above object really
Determine method.
The embodiment of the present invention also provides a kind of computer storage medium, stores software program in the storage medium, this is soft
Part program realizes view described in above-mentioned various possible implementations when being read and executed by one or more processors
The determination method of object in frequency.
The embodiment of the present invention also provides a kind of computer program product comprising instruction, when run on a computer,
So that computer executes the determination method of object in video described in above-mentioned various possible implementations.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (12)
1. a kind of determination method of object in video, which is characterized in that the described method includes:
The video to be processed that monitoring device is shot within a preset period of time is obtained, the video to be processed includes N frame image；
N is more than or equal to 2；
For the first object to be identified, M image information of first object to be identified is searched from the N frame image；Often
The corresponding frame image of a image information；First object to be identified is any object to be identified that any frame image includes；
According to M image information of first object to be identified, the identification image of first object to be identified is determined.
2. being looked into from the N frame image the method according to claim 1, wherein being directed to the first object to be identified
Look for M image information of first object to be identified, comprising:
For the first image, if the first image is detection frame image, object detection is carried out to the first image, is determined
The corresponding image information of each object to be identified in the first image；If the first image is prediction frame image, according to the
The corresponding image information of each object to be identified in two images predicts that each object to be identified is corresponding in the first image
Image information；The first image is any of described N frame image, and second image is that the first image is adjacent
Image and have determined that or predict the corresponding image information of object to be identified.
3. according to the method described in claim 2, being obtained it is characterized in that, obtaining monitoring device and within a preset period of time shooting
Video to be processed, comprising:
The monitoring device is obtained in second image being sequentially output in chronological order within a preset period of time and institute
State the first image；Second image is exported earlier than the first image.
4. being looked into from the N frame image the method according to claim 1, wherein being directed to the first object to be identified
It looks for after M image information of first object to be identified, further includes:
Location information of the object to be identified in different frame image is recorded, to be used to form the object to be identified described
Trace information under monitoring device.
5. method according to claim 1 to 4, which is characterized in that according to the M of first object to be identified
A image information determines the identification image of first object to be identified, comprising:
According to M image information of first object to be identified, knowledge of the K image information as the object to be identified is chosen
Other image；Alternatively,
According to M image information of first object to be identified, K image information is chosen, and according to the K image information
Generate the identification image of first object to be identified.
6. the determining device of object in a kind of video, which is characterized in that described device includes:
Acquiring unit, the video to be processed shot within a preset period of time for obtaining monitoring device, the view to be processed
Frequency includes N frame image；N is more than or equal to 2；
Processing unit searches the M of first object to be identified for being directed to the first object to be identified from the N frame image
A image information；According to M image information of first object to be identified, the identification figure of first object to be identified is determined
Picture；The corresponding frame image of each image information；First object to be identified be any frame image include it is any to be identified right
As.
7. device according to claim 6, which is characterized in that the processing unit is specifically used for:
For the first image, if the first image is detection frame image, object detection is carried out to the first image, is determined
The corresponding image information of each object to be identified in the first image；If the first image is prediction frame image, according to the
The corresponding image information of each object to be identified in two images predicts that each object to be identified is corresponding in the first image
Image information；The first image is any of described N frame image, and second image is that the first image is adjacent
Image and have determined that or predict the corresponding image information of object to be identified.
8. device according to claim 7, which is characterized in that the acquiring unit is specifically used for:
The monitoring device is obtained in second image being sequentially output in chronological order within a preset period of time and institute
State the first image；Second image is exported earlier than the first image.
9. device according to claim 6, which is characterized in that the processing unit is also used to:
Location information of the object to be identified in different frame image is recorded, to be used to form the object to be identified described
Trace information under monitoring device.
10. device according to any one of claims 6 to 9, which is characterized in that the processing unit is specifically used for:
According to M image information of first object to be identified, knowledge of the K image information as the object to be identified is chosen
Other image；Alternatively,
According to M image information of first object to be identified, K image information is chosen, and according to the K image information
Generate the identification image of first object to be identified.
11. a kind of computer readable storage medium, which is characterized in that the storage medium is stored with instruction, when described instruction exists
When being run on computer, so that computer realizes method described in any one of perform claim requirement 1 to 5.
12. a kind of computer equipment characterized by comprising
Memory, for storing program instruction；
Processor, for calling the program instruction stored in the memory, according to acquisition program execute as claim 1 to
Method described in any claim in 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201811648118.XA CN109740525A (en) | 2018-12-29 | 2018-12-29 | The determination method and device of object in a kind of video |
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| CN201811648118.XA CN109740525A (en) | 2018-12-29 | 2018-12-29 | The determination method and device of object in a kind of video |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111368639A (en) * | 2020-02-10 | 2020-07-03 | 浙江大华技术股份有限公司 | Vehicle lane crossing determination method, vehicle lane crossing determination device, computer device, and storage medium |
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2018
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111368639A (en) * | 2020-02-10 | 2020-07-03 | 浙江大华技术股份有限公司 | Vehicle lane crossing determination method, vehicle lane crossing determination device, computer device, and storage medium |
| CN111368639B (en) * | 2020-02-10 | 2022-01-11 | 浙江大华技术股份有限公司 | Vehicle lane crossing determination method, vehicle lane crossing determination device, computer device, and storage medium |
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