CN108184062A - High speed tracing system and method based on multi-level heterogeneous parallel processing - Google Patents
High speed tracing system and method based on multi-level heterogeneous parallel processing Download PDFInfo
- Publication number
- CN108184062A CN108184062A CN201711498701.2A CN201711498701A CN108184062A CN 108184062 A CN108184062 A CN 108184062A CN 201711498701 A CN201711498701 A CN 201711498701A CN 108184062 A CN108184062 A CN 108184062A
- Authority
- CN
- China
- Prior art keywords
- module
- image
- speed
- high speed
- level
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Studio Devices (AREA)
- Image Processing (AREA)
Abstract
A kind of high speed tracing system and method based on multi-level heterogeneous parallel processing.The high speed tracing system includes the high-speed camera with autonomous focusing function, two-dimentional servo execution control response module, two-dimentional servo module, image data acquiring transmission module and image processing module.Main working process is:Image data acquiring transmission module acquires image data by high-speed camera, image data is packaged and is transferred to image processing module, image processing module carries out operation, and obtain the location information of target and the rotation angle information of servo module according to algorithm difference to image data;Servo module carries out the tracking of target according to the rotation angle transmitted from image processing module, and the high-speed camera of autonomous focusing function carries out auto-focusing according to target position information.The system and method for the present invention may be used on high-speed target identification and detection scene in production and living, can realize under complex scene to the robust tracking of high-speed moving object.
Description
Technical field
The present invention relates to programmable vision chip and high-speed object detection, tracking field more particularly to based on multi-level
The high speed tracing system and method for heterogeneous parallel processing have the advantage of high speed, highly integrated, low-power consumption, low cost, can apply
In tracking of the high-speed target of security monitoring, field of industrial production and sphere of life etc..
Background technology
With computer application and the development of machine vision, image is acquired by camera and carry out high-speed target detection and
The SPEED VISION target following technology of tracking is achieved compared with much progress and is widely applied in industrial and agricultural production life.According to using
The type of camera, the camera of Current vision Target Tracking System acquire image data using conventional image sensor, lead to picture
It is low that the frame per second of acquisition is relatively low, picture obtains resolution ratio;According to the type of processor, Current vision Target Tracking System is based on calculating
The tracking system of machine/general processor, since the specific aim of transmission speed limitation, shortage tracking is supported, system processing speed
Degree is slow, can not apply in the SPEED VISION tracking field higher to requirement of real-time.
Invention content
In view of this, it is a primary object of the present invention to propose a kind of high speed tracing system and method, at least partly
Ground solves at least one of above-mentioned technical problem.
To achieve these goals, as one aspect of the present invention, it is proposed that a kind of high speed tracing system, feature exist
In the high speed tracing system includes high-speed image sampling device, two-dimentional servo performs control response module, two-dimentional servo mould
Block, image data acquiring transmission module and image processing module;Wherein:
High-speed image sampling device has autonomous focusing function;
The picture signal of high-speed image sampling device acquisition is input to image procossing by image data acquiring transmission module
Module;
Two-dimentional servo performs the two-dimentional servo mould of control information generation that control response module is exported based on image processing module
The control instruction of block simultaneously sends it to the two-dimentional servo module;
Described image processing module is integrated with Pixel-level, block grade and distributed multi-stage heterogeneous parallel processing unit, has
Image Feature Detection, feature extraction, tagsort and deep learning convolution algorithm processing function;Wherein, at described image
The pixel processing unit PE arrays that reason module first passes through pixel level processor complete Pixel-level parallel algorithm, then by block grade simultaneously
Block processing unit PPU in row processor accesses the image block in pixel level processor pixel processing unit PE arrays to complete office
Portion's feature extraction algorithm finally realized using Distributed Calculation and carries out Fast Classification to the local feature of extraction, is generated described
Information is controlled, so as to fulfill the parallel processing based on multi-level isomery.
As another aspect of the present invention, it is also proposed that a kind of high speed tracking side based on multi-level heterogeneous parallel processing
Method uses high speed tracing system as described above to realize, which is characterized in that the high speed method for tracing includes following step
Suddenly:
When in the visual field of the high-speed image sampling device with autonomous focusing function described in tracking target and appearing in, image
Information collection transmission module receives image data from the high-speed image sampling device, is transferred to after image noise reduction is handled
Image processing module;
Image processing module passes through carries out Pixel-level, block grade and distributed variable-frequencypump to described image data, obtains institute
The location information of tracking target is stated, and sends location information to the two-dimentional servo and performs response module, is aligned simultaneously
Confidence breath is judged, is obtained focusing coefficient and is transmitted to the high-speed image sampling device for carrying autonomous focusing function, completes
The autonomous focusing of high-speed image sampling device;
Two-dimentional servo performs response module and the location information for tracking target is calculated, and obtains directional information and rotation
Gyration information;Two-dimentional servo module receives the directional information and rotation angle that response module is performed from two-dimentional servo
After information, rotated accordingly;
Meanwhile the tracking target information is shown on display module by image processing module.
Compared with prior art, the beneficial effects of the invention are as follows:
(1) high-speed camera with autonomous focusing function and integrated high speed imaging sensor can acquisition frame rate be
The image data of 1000fps;In the scene that may be used on the high-speed target identification and detection in production and living;High speed camera has concurrently
Autonomous focusing function can automatically lead to target after the image processing module of multi-level heterogeneous parallel processing carries out image procossing
It crosses focusing function and collects visual field middle position;
(2) while Image Acquisition transmission module is acquired image data, noise reduction process is carried out to image data, is added
Speed is based on identification of the multi-level heterogeneous parallel processing image processing module to target;
(3) image processing module based on multi-level heterogeneous parallel processing has Pixel-level, block grade and distributed parallel
Processing capacity can carry out flexible image block selection and be operable with multiple-instruction multiple-data pattern, accelerate at image data
The speed of target identification in reason;
(4) the high speed tracing system based on multi-level heterogeneous parallel processing have high speed, highly integrated, low-power consumption, it is low into
This advantage, can apply in fields such as production and living, scientific research, sports;
(5) it by designing corresponding target tracking algorithm, can realize under complex scene to high-speed moving object
Robust tracking.
Description of the drawings
Fig. 1 is the structure diagram of the high speed tracing system of the present invention;
Fig. 2 is work flow diagram of the high speed tracing system of the present invention in tracing process;
Fig. 3 is flow of the image processing module of the present invention when carrying out multi-level heterogeneous parallel processing to image data
Figure.
Specific embodiment
The invention discloses a kind of high speed tracing systems, perform control including high-speed image sampling device, two-dimentional servo and ring
Module, two-dimentional servo module, image data acquiring transmission module and image processing module are answered, wherein:
High-speed image sampling device has autonomous focusing function, for example, high-speed camera, and pixel device is using at a high speed
Cmos image sensor, picture read-out speed are 1000fps.Its optical lens uses the optical frames with autonomous focusing function
After image processing module handles image data, autonomous, Real-time Focusing is realized according to environment and target algorithm for head,
Ensure the image quality of high-speed image sampling device.
Two-dimentional servo performs control response module, and image processing module is connect with two-dimentional servo module, preferably through
Bus mode is attached.
Two-dimentional servo module including the upper motor with step function and lower motor, has the high speed image independently focused
Harvester is mechanically fixed on motor, and upper motor is installed on lower motor.Upper motor realizes that high speed image is adopted
Acquisition means are rotated up and down, and lower motor realizes the three-dimensional rotation of entire two-dimentional servo module by rotating left and right.
Image processing module, framework are integrated with Pixel-level, block grade and distributed multi-stage heterogeneous parallel processing device, have
Image Feature Detection, feature extraction, tagsort and deep learning algorithm convolution processing function, can efficiently, it is neatly complete
Into each quasi-representative and the vision processing algorithm that at present develops;Its instruction set is regards based on the special of multi-tier Heterogeneous parallel processing architecture
Feel process instruction collection, support Pixel-level, block grade and distributed parallel operation programming, and devise block processing unit circuit,
Processing unit circuit, track circuit and cache control circuit are to realize instruction set function.
Described image processing module includes Pixel-level parallel processor, block grade parallel processor and distributed variable-frequencypump,
By time-sharing multiplex, Pixel-level parallel processing and distributed variable-frequencypump are completed using identical hardware.Wherein at Pixel-level
Pixel processing unit PE (ProcessingElement) array for managing device completes such as filtering, morphology, background subtraction, characteristic point
The Pixel-levels parallel algorithms such as detection, feature generation, then at block processing unit (PPU) the access pixel in block grade parallel processor
The image block in unit PE subarrays is managed to complete local shape factor algorithm, the spy to extracting is realized using Distributed Calculation
Sign carries out Fast Classification, so as to fulfill the parallel processing based on multi-level isomery.
Display module realizes the connection with image processing module by HDMI (DP) interface.It is according to image processing module
To the operation result of image data, display target and background information, and target is marked in real time.
Power entry module is that all modules of whole system carry out distribution, ensures the steady operation of system.
In said program, the high-speed camera machine high speed image of autonomous focusing function and integrated high speed imaging sensor passes
Sensor is with the high speed imaging sensor more than or equal to 1000fps Image Acquisition speed;Its autonomous focusing function based on
The image processor block of multi-level heterogeneous parallel processing has handled image data and has obtained after target position information according to environment
And target requirement and carry out automatic focusing.
In said program, image data acquiring transmission module is to the height of autonomous focusing function and integrated high speed imaging sensor
Imaging sensor in fast video camera connects entirely, and the high speed of the autonomous focusing function of real-time reception and integrated high speed imaging sensor is taken the photograph
Camera the image collected data simultaneously carry out simple noise reduction process to data, and treated image data is passed by fiber optic communication
It is defeated by the image processor block based on multi-level heterogeneous parallel processing.
In a preferred embodiment, it is total that the image processor block based on multi-level heterogeneous parallel processing includes system
Line, sensor control block, sensor caching, program cache, network interface, for MPP calculating core and
MPU microprocessors.Sensor caching is for storing the data from imaging sensor, in order to which processor repeatedly accesses.Program
The algorithm routine for visual processes is stored in caching.Network interface is used to communicate with PC.Calculating core is multi-level isomery
Parallel processing architecture provides main calculated performance and can realize that multiple-instruction multiple-data works.Referred to according to the control of MPU
It enables, identical or entirely different manipulation of image data can be carried out between calculating core.
In said program, image processing module includes processor, and instruction set is based on multi-tier Heterogeneous parallel processing architecture
Special visual processes instruction set, support the programming of Pixel-level, block grade and distributed parallel operation, and it is single to devise block processing
First circuit, processing unit circuit and cache control circuit are to realize instruction set function;
In said program, Pixel-level parallel processing and distributed variable-frequencypump use identical hardware by time-sharing multiplex
To complete;Preferably, Pixel-level parallel processing includes filtering, morphology, background subtraction, characteristic point detection and feature generation etc.
Operation.
In said program, two-dimentional servo performs response module and the image processor mould of multi-level heterogeneous parallel processing
Block connects, and two-dimentional servo performs response control after target position information is obtained after carrying out image real time transfer, calculates servo mould
Block needs rotation angle, and send respective direction information with it is rotary pulsed.
In said program, two-dimentional servo module can realize full ambient engine 360 degree rotation, and perform response control with two-dimentional servo
Module connect, when reflect rotation angle directional information with it is rotary pulsed be sent to servo module after, servo module will carry out phase
The rotation in direction is answered, ensures that the high speed camera being mounted on two-dimentional servo module in real time includes target in camera fields of view.
In said program, display module passes through HDMI (DP) interfaces and the image procossing based on multi-level heterogeneous parallel processing
Device module connects, and after the completion of image real time transfer, the image processor block of multi-level heterogeneous parallel processing is showing target
Show and shown in module.
In said program, the high-speed camera machine of autonomous focusing function and integrated high speed imaging sensor in system can lead to
It crosses USB3.0 and carries out real-time Communication for Power with host computer, the processor based on multi-level heterogeneous parallel processing can pass through PCIe protocol, net
Mouth agreement carries out real-time Communication for Power with host computer.
The invention also discloses a kind of high speed method for tracing based on multi-level heterogeneous parallel processing, use as described above
High speed tracing system realize that the high speed method for tracing includes the following steps:
When in the visual field of the high-speed image sampling device with autonomous focusing function described in tracking target and appearing in, image
Information collection transmission module receives image data from the high-speed image sampling device, is transferred to after image noise reduction is handled
Image processing module;
Image processing module passes through carries out Pixel-level, block grade and distributed variable-frequencypump to described image data, obtains institute
The location information of tracking target is stated, and sends location information to the two-dimentional servo and performs response module, is aligned simultaneously
Confidence breath is judged, is obtained focusing coefficient and is transmitted to the high-speed image sampling device for carrying autonomous focusing function, completes
The autonomous focusing of high-speed image sampling device;
Two-dimentional servo performs response module and the location information for tracking target is calculated, and obtains directional information and rotation
Gyration information;Two-dimentional servo module receives the directional information and rotation angle that response module is performed from two-dimentional servo
After information, rotated accordingly;
Meanwhile the tracking target information is shown on display module by image processing module.
Preferably, above-mentioned high speed method for tracing is further comprising the steps of:
When showing the tracking target on display module, judge whether primary tracking target loses every some cycles
It loses, if lost, two-dimentional servo performs control response module and two-dimentional servo module cooperation performs tracking action, searches
The trace of the tracking target;If it is not, then two-dimentional servo performs control response module and two-dimentional servo module cooperation performs lock
Fixed action, by the tracking target lock-on in the visual field of the high-speed image sampling device with autonomous focusing function.
In a preferred embodiment, the present invention is using the high speed camera with autonomous focusing function and with multi-level
Heterogeneous parallel processing framework can field programming SPEED VISION target tracking processor;In order to preferably support autonomous focusing function
High speed camera and with multi-level heterogeneous parallel processing framework can be between field programming SPEED VISION target tracking processor
Work makes the high speed camera of autonomous focusing function under conditions of being acquired with high frame rate image, can the high speed of field programming regard
Feel that target tracking processor can carry out high frame rate image processing, devise the high-speed target based on multi-level heterogeneous parallel processing
Tracing system.The system has high integration, high-performance, low cost, the characteristic of low-power consumption, and passes through and design corresponding mesh
Tracing algorithm is marked, is realized under complex scene to the robust tracking of high-speed moving object.
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with specific embodiment, and reference
Attached drawing, the present invention is described in further detail.
High-speed target tracing system overall structure figure based on multi-level heterogeneous parallel processing is as shown in Figure 1.Using this hair
The method for tracing that bright high speed tracing system realizes high-speed target is, 1 in Fig. 1 occurs in tracking target, with from homophony
In the visual field of the high speed camera of burnt function;Image information collecting transmission module is integrated in 1 in Fig. 1 from the high-speed cmos of camera
Image data is received in imaging sensor, 2 be transferred to after simple image noise reduction process in Fig. 1, based on multi-level isomery
The image processing module of parallel processing;Image processing module based on multi-level heterogeneous parallel processing passes through carries out pixel to image
Grade, block grade and distributed variable-frequencypump, obtain the location information of high-speed target, and will be respectively transmitted after location information in Fig. 1
4, two-dimentional servo performs response module, while location information is judged, obtains focusing coefficient and passes in Fig. 1
1, in the camera of autonomous focusing function, complete the autonomous focusing of high speed camera;4 in Fig. 1, two-dimentional servo performs response control mould
Block calculates the location information of target, obtains directional information and rotation angle information;5 in Fig. 1, two-dimentional servo module connects
It receives after two-dimentional servo performs the directional information of response module and rotation angle pulse information, is revolved accordingly
Turn;2 in Fig. 1 simultaneously, the image processing module based on multi-level heterogeneous parallel processing will be in high-speed target presentation of information to Fig. 1
3, on display module.
1. the high speed camera with autonomous focusing function
High speed camera with autonomous focusing function is by high speed imaging sensor, the optical lens with autonomous focusing function
It is formed with high-speed image sampling transmission module, high-speed image sampling and the transmission of 1000fps can be completed, and can completed online certainly
Homophony is burnt;Carry out data acquisition transmission after high speed camera to imaging sensor for image information collecting transmission module, and can be to figure
As data carry out simple noise reduction process.
2. the image processing module based on multi-level heterogeneous parallel processing
Image processing module based on multi-level heterogeneous parallel processing is by pixel level processor, block level processor and distribution
Formula parallel processing and MPU microprocessors are formed.
The image processing module of multi-level heterogeneous parallel processing can carry out original pixel-level image parallel processing, Local map
As the image Parallel Processing and distributed variable-frequencypump between block.Image processing module is cached by imaging sensor, program cache,
System bus and the calculating compositions such as core and MPU microprocessors.Wherein, imaging sensor buffer memory is acquired from imaging sensor
The image arrived, the program that program cache storage handles image, system bus is as image processing program with calculating core
Link and control calculate core carry out image procossing.It calculates to contain in core and can carry out Pixel-level parallel processing function
Pixel level processor, can be into the block level processor of row block grade local shape factor, by time-sharing multiplex, pixel level processor and block
Level processor accesses identical hardware to complete, and MPU is mainly used for system administration.Image based on multi-level heterogeneous parallel processing
The main flow of processing module is:Imaging sensor is handled by Image Acquisition and after being transferred to sensor caching by Pixel-level
Device completes the parallel algorithms of Pixel-levels such as filtering, feature generation, and then block level processor access is stored in pixel level processor
Image block in array simultaneously provides program control instruction and performs local feature extraction algorithm and obtain partial statistics characteristic;In calculation block
The feature that the mode of Distributed Parallel Computing extracts block level processor may be used after processing to classify.So as to fulfill picture
Plain grade image processor and the multi-level isomerism parallel image processing operations of block level processor and distributed variable-frequencypump.
3. display module
Display module connects the image processing module of multi-level heterogeneous parallel processing, is responsible for display and determines high-speed target by it
Image and its location information.
4. two-dimentional servo performs response module
Location information and angle information are sent to two-dimentional servo and held by the image processing module of multi-level heterogeneous parallel processing
Row response module, two-dimentional servo perform the direction that response module is rotated by two-dimentional servo module needs are calculated
With need the pulse that rotates and control two-dimentional servo module.
5. two-dimentional servo module
Space is divided into (x, y, z) three-dimensional planar, lower motor is the bottom of at by two-dimentional servo module by upper motor and lower motor form
Plane is that (x, y) plane is moved, and the position that upper motor is rotated according to lower motor can be respectively in (x, z), (y, z) plane
Movement, it is final to realize that two-dimentional servo module rotates freely in the region of 360 degree of three dimensions gamut.
6. Power entry module
Each module needs to stablize and continuous voltage, and in order to make system steady operation, Power entry module is the other each modules of system
Supply stable power supply.
As a kind of application of the present invention, such as the target even high-speed motion of automatic identification and tracing movement
Target, the target are that the automatic Classification and Identification of neural network classifier in the image processing module by the present invention comes out, and are being opened
After the high-speed target tracing system for moving the present invention, system is automatically from the image of the high speed camera capture with autonomous focusing function
In identify moving target, and complete it is subsequent tracking and locking work.
Particular embodiments described above has carried out the purpose of the present invention, technical solution and advantageous effect further in detail
Describe in detail bright, it should be understood that the above is only a specific embodiment of the present invention, is not intended to restrict the invention, it is all
Within the spirit and principles in the present invention, any modification, equivalent substitution, improvement and etc. done should be included in the protection of the present invention
Within the scope of.
Claims (10)
1. a kind of high speed tracing system, which is characterized in that the high speed tracing system includes high-speed image sampling device, two dimension is watched
Clothes perform control response module, two-dimentional servo module, image data acquiring transmission module and image processing module;Wherein:
High-speed image sampling device has autonomous focusing function;
The picture signal of high-speed image sampling device acquisition is input to image processing module by image data acquiring transmission module;
Two-dimentional servo performs control response module and generates two-dimentional servo module based on the control information that image processing module exports
Control instruction simultaneously sends it to the two-dimentional servo module;
Described image processing module is integrated with Pixel-level, block grade and distributed multi-stage heterogeneous parallel processing unit, has image
Feature detection, feature extraction, tagsort and deep learning convolution algorithm processing function;Wherein, described image processing mould
The pixel processing unit PE arrays that block first passes through pixel level processor complete Pixel-level parallel algorithm, are then located parallel by block grade
Block processing unit PPU in reason device accesses the image block in pixel level processor pixel processing unit PE arrays to complete local spy
Extraction algorithm is levied, is finally realized using Distributed Calculation and Fast Classification is carried out to the local feature of extraction, generate the control
Letter opens, so as to fulfill the parallel processing based on multi-level isomery.
2. high speed tracing system according to claim 1, which is characterized in that the high-speed image sampling device is takes the photograph at a high speed
Camera, pixel device use high-speed cmos imaging sensor, and picture read-out speed is more than or equal to 1000fps;
Preferably, described image data acquisition transmission module connects the imaging sensor in the high-speed image sampling device entirely
It connects, real-time reception described image sensor the image collected data simultaneously carry out noise reduction process, then pass through to described image data
Fiber-optic communications traffic gives described image processing module.
3. high speed tracing system according to claim 1, which is characterized in that the two dimension servo performs control response module
Image data processing module is connect with two-dimentional servo module by bus mode.
4. high speed tracing system according to claim 1, which is characterized in that the two dimension servo module includes having stepping
The upper motor of function and lower motor, the high-speed image sampling device are fixed on the upper motor, and upper motor is installed on lower electricity
On machine, so as to which the upper motor realizes being rotated up and down for the high-speed image sampling device, lower motor, which is realized, to be rotated left and right, from
And entire two-dimentional servo module can realize three-dimensional rotation.
5. high speed tracing system according to claim 1, which is characterized in that described image processing module includes processor,
Its instruction set is the special visual processes instruction set based on multi-tier Heterogeneous parallel processing architecture, supports Pixel-level, block grade and divides
The programming of cloth parallel work-flow, and block processing unit circuit, processing unit circuit and cache control circuit are devised to realize
Instruction set function;
Delay preferably, described image processing module further includes system bus, sensor control block, sensor caching, program
It deposits and network interface, wherein, the sensor caching is for storing the data from high-speed image sampling device;Described program is delayed
The algorithm routine for visual processes is stored in depositing;The network interface is used to communicate with PC.
6. high speed tracing system according to claim 1, which is characterized in that the Pixel-level parallel processing and distribution are simultaneously
Row processing is completed by time-sharing multiplex using identical hardware;
Preferably, the Pixel-level parallel processing includes filtering, morphology, background subtraction, characteristic point detection and feature generation.
7. high speed tracing system according to claim 1, which is characterized in that the high speed tracing system further includes display mould
Block, the display module are connect by HDMI/DP interfaces with image processing module;
The information that the display module to image obtain after operation according to image processing module, display target and background letter
Breath, and target is marked in real time.
8. high speed tracing system according to claim 1, which is characterized in that the high speed tracing system further includes distribution mould
Block, the Power entry module carry out distribution for system, ensure the steady operation of system.
9. high speed tracing system according to claim 1, which is characterized in that the high-speed image sampling device can pass through
USB3.0 and host computer carry out real-time Communication for Power, and the processor in described image processing module can pass through PCIe protocol and/or net
Mouth agreement carries out real-time Communication for Power with host computer.
10. a kind of high speed method for tracing based on multi-level heterogeneous parallel processing, uses such as claim 1 to 9 any one
The high speed tracing system is realized, which is characterized in that the high speed method for tracing includes the following steps:
When in the visual field of the high-speed image sampling device with autonomous focusing function described in tracking target and appearing in, image information
Acquisition transmission module receives image data from the high-speed image sampling device, and image is transferred to after image noise reduction is handled
Processing module;
Image processing module passes through carries out Pixel-level, block grade and distributed variable-frequencypump to described image data, obtains described chase after
The location information of track target, and send location information to the two-dimentional servo and perform response module, while align confidence
Breath is judged, is obtained focusing coefficient and is transmitted to the high-speed image sampling device for carrying autonomous focusing function, completes at a high speed
The autonomous focusing of image collecting device;
Two-dimentional servo performs response module and the location information for tracking target is calculated, and obtains directional information and rotation angle
Spend information;Two-dimentional servo module receives the directional information and rotation angle information that response module is performed from two-dimentional servo
Afterwards, it is rotated accordingly;
Meanwhile the tracking target information is shown on display module by image processing module;
Preferably, the high speed method for tracing is further comprising the steps of:
When showing the tracking target on display module, judge whether primary tracking target loses every some cycles, such as
Fruit has been lost, then two-dimentional servo execution control response module and two-dimentional servo module cooperation performs tracking and act, described in search
Track the trace of target;It is moved if it is not, then two-dimentional servo execution control response module performs to lock with two-dimentional servo module cooperation
Make, by the tracking target lock-on in the visual field of the high-speed image sampling device with autonomous focusing function.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711498701.2A CN108184062B (en) | 2017-12-29 | 2017-12-29 | High-speed tracking system and method based on multi-level heterogeneous parallel processing |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711498701.2A CN108184062B (en) | 2017-12-29 | 2017-12-29 | High-speed tracking system and method based on multi-level heterogeneous parallel processing |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108184062A true CN108184062A (en) | 2018-06-19 |
CN108184062B CN108184062B (en) | 2020-08-25 |
Family
ID=62549629
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711498701.2A Active CN108184062B (en) | 2017-12-29 | 2017-12-29 | High-speed tracking system and method based on multi-level heterogeneous parallel processing |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108184062B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109741237A (en) * | 2018-12-28 | 2019-05-10 | 中国科学院半导体研究所 | Large-scale image data processing system and method |
CN111932589A (en) * | 2020-08-11 | 2020-11-13 | 沈阳帝信人工智能产业研究院有限公司 | Data processing method, system and equipment |
WO2023201842A1 (en) * | 2022-04-19 | 2023-10-26 | 珠海欧比特宇航科技股份有限公司 | High-bandwidth signal processing system, device, method, and storage medium |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030095711A1 (en) * | 2001-11-16 | 2003-05-22 | Stmicroelectronics, Inc. | Scalable architecture for corresponding multiple video streams at frame rate |
CN101814137A (en) * | 2010-03-25 | 2010-08-25 | 浙江工业大学 | Driver fatigue monitor system based on infrared eye state identification |
CN103020890A (en) * | 2012-12-17 | 2013-04-03 | 中国科学院半导体研究所 | Visual processing device based on multi-layer parallel processing |
CN103544714A (en) * | 2013-10-22 | 2014-01-29 | 中国科学院半导体研究所 | Visual tracking system and method based on high-speed image sensor |
-
2017
- 2017-12-29 CN CN201711498701.2A patent/CN108184062B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030095711A1 (en) * | 2001-11-16 | 2003-05-22 | Stmicroelectronics, Inc. | Scalable architecture for corresponding multiple video streams at frame rate |
CN101814137A (en) * | 2010-03-25 | 2010-08-25 | 浙江工业大学 | Driver fatigue monitor system based on infrared eye state identification |
CN103020890A (en) * | 2012-12-17 | 2013-04-03 | 中国科学院半导体研究所 | Visual processing device based on multi-layer parallel processing |
CN103544714A (en) * | 2013-10-22 | 2014-01-29 | 中国科学院半导体研究所 | Visual tracking system and method based on high-speed image sensor |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109741237A (en) * | 2018-12-28 | 2019-05-10 | 中国科学院半导体研究所 | Large-scale image data processing system and method |
CN109741237B (en) * | 2018-12-28 | 2020-10-23 | 中国科学院半导体研究所 | Large-scale image data processing system and method |
CN111932589A (en) * | 2020-08-11 | 2020-11-13 | 沈阳帝信人工智能产业研究院有限公司 | Data processing method, system and equipment |
WO2023201842A1 (en) * | 2022-04-19 | 2023-10-26 | 珠海欧比特宇航科技股份有限公司 | High-bandwidth signal processing system, device, method, and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN108184062B (en) | 2020-08-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110580732B (en) | 3D information acquisition device | |
CN108154494B (en) | A kind of image fusion system based on low-light and infrared sensor | |
CN107659774B (en) | Video imaging system and video processing method based on multi-scale camera array | |
CN107610108B (en) | Image processing method and device | |
CN105210368B (en) | Background difference extraction element and background difference extracting method | |
CN104820418B (en) | A kind of embedded vision system and its application method for mechanical arm | |
WO2019238114A1 (en) | Three-dimensional dynamic model reconstruction method, apparatus and device, and storage medium | |
CN108184062A (en) | High speed tracing system and method based on multi-level heterogeneous parallel processing | |
CN104184961A (en) | Mobile device and system used for generating panoramic video | |
CN104270570A (en) | Binocular video camera and image processing method thereof | |
CN105809711B (en) | A kind of pig movement big data extracting method and its system based on video frequency tracking | |
CN105592269B (en) | Moving target captures and tracking equipment and moving target capture and tracking | |
JP2011508293A (en) | Vision sensor, system and method | |
EP1946567A4 (en) | Device for generating three dimensional surface models of moving objects | |
Zheng et al. | Deep learning for event-based vision: A comprehensive survey and benchmarks | |
CN111242025A (en) | Action real-time monitoring method based on YOLO | |
CN106354264A (en) | Real-time man-machine interaction system based on eye tracking and a working method of the real-time man-machine interaction system | |
CN107944420A (en) | The photo-irradiation treatment method and apparatus of facial image | |
Popovic et al. | Real-time implementation of Gaussian image blending in a spherical light field camera | |
CN107845056A (en) | Fish eye images panorama generation method based on cylinder model | |
CN105791686B (en) | Multiple mobile object captures and tracking equipment and multiple mobile object capture and tracking | |
CN107807777A (en) | Multinuclear embedded television tracker human-computer interaction device and method | |
CN109089048B (en) | Multi-lens panoramic linkage device and method | |
Wu et al. | Real-time human posture reconstruction in wireless smart camera networks | |
CN104751455A (en) | Crop image dense matching method and system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |