CN103200394A - Target image real time transmission and tracking method based on digital signal processor (DSP) and target image real time transmission and tracking device based on digital signal processor (DSP) - Google Patents

Target image real time transmission and tracking method based on digital signal processor (DSP) and target image real time transmission and tracking device based on digital signal processor (DSP) Download PDF

Info

Publication number
CN103200394A
CN103200394A CN2013101174190A CN201310117419A CN103200394A CN 103200394 A CN103200394 A CN 103200394A CN 2013101174190 A CN2013101174190 A CN 2013101174190A CN 201310117419 A CN201310117419 A CN 201310117419A CN 103200394 A CN103200394 A CN 103200394A
Authority
CN
China
Prior art keywords
target
tracking
dsp
image
time transmission
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
Application number
CN2013101174190A
Other languages
Chinese (zh)
Other versions
CN103200394B (en
Inventor
张捷
吕明
薄煜明
赵高鹏
缪晓龙
郎科伟
王伟
王熙康
刘美成
倪渊之
王进成
左建
顾俊凯
胡跃祥
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing University of Science and Technology
Original Assignee
Nanjing University of Science and Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Nanjing University of Science and Technology filed Critical Nanjing University of Science and Technology
Priority to CN201310117419.0A priority Critical patent/CN103200394B/en
Publication of CN103200394A publication Critical patent/CN103200394A/en
Application granted granted Critical
Publication of CN103200394B publication Critical patent/CN103200394B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Closed-Circuit Television Systems (AREA)

Abstract

The invention discloses a target image real time transmission and tracking method based on a digital signal processor (DSP) and a target image real time transmission and tracking device based on the DSP. A method of an image tracking part combines a connected domain algorithm with a template matching algorithm, and the connected domain algorithm is used to obtain a target to be tracked, establishes an image template of a target object, and uses the template matching method to track the target. A target movement track predicted by using a least square method is combined to search the target in a wave gate. If the template matching method fails to track, the connected domain algorithm is used to capture the target again, and the connected domain algorithm establishes the image template again and continues to track till the tacking is finished. The target image real time transmission and tracking device based on the DSP comprises an image processing unit, a sighting telescope, a servo system, a switchboard, a remote terminal and an integrated management personal computer (PC). The target image real time transmission and tracking method based on the DSP and the target image real time transmission and tracking device based on the DSP are capable of tracking a moving target and transmitting the tracking process to an Ethernet network, a user on the network can remote control the tracking process of the target, and the integrated management PC can further change the target to be tracked and switch a tracking mode.

Description

Target image real-time Transmission and tracking and device thereof based on DSP
Technical field
The invention belongs to a kind of image handles and image transmission technology, particularly a kind of target image real-time Transmission and tracking and device thereof based on DSP.
Background technology
General image tracking system is to be imaging sensor with the camera, produces a kind of photoelectronic tracking device of tracking error signal with the image tracker.Image tracking system mainly is made up of four parts such as camera, image tracker, servo system and monitor.Camera is the key component of image tracking system, is used for absorbing the scenery image of (comprising target), and optical imagery is converted to the vision signal that meets television system, generally uses CCD camera, infrared thermoviewer, laser camera etc.The image tracker is the core of entire image tracking system, its major function is that the image that collects is handled, and comprises the preliminary treatment of image, the identification of image (image is cut apart, target recognition and tracking), the processing of output image signal synchronously (stack of ripple door, tracking mark arrange etc.).The image tracking cell provides the tracing deviation value on target bearing and the pitch position, with this servo system that drives the back to the real-time tracking of realization of goal.Servo system is the enforcement parts of following the tracks of, and mainly comprises orientation, pitching, roll three-axle steady platform and phase control unit.Monitor is used for display system to the Video signal processing result.
Image tracking system is to realize by the image of following the tracks of intended target to the tracking of target, yet because factors such as the complexity of the motion of target, background and intensity variations make tracking often can not carry out under desirable condition.At the influence of some objective factors to target following, people have designed multiple track algorithm.Some common algorithms have: methods such as connected domain algorithm, edge tracking, peak time tracking and template matching algorithm.Using in image tracking system at present is connected domain algorithm and template matching algorithm more widely.
Prior art systems generally can only be selected tracking target automatically, can't manually select tracking target; Single connected domain algorithm or the template matching algorithm of general employing merges two algorithms; System does not generally have the Ethernet transfer function.
Summary of the invention
The object of the present invention is to provide a kind of visible images that can utilize that moving target is followed the tracks of, and tracking image can be transmitted by Ethernet, and the computer on the network can be monitored tracing process, and the integrated management computer can also change the target that will follow the tracks of and target image real-time Transmission and tracking and the device thereof based on DSP that switches tracking mode.
The technical solution that realizes the object of the invention is:
A kind of target image real-time Transmission and tracking based on DSP may further comprise the steps:
Step 1: video monitoring signal is connected to the video inputs of graphics processing unit by the output of video camera, finishes the input of vision signal, and the signal of input is the video standard signal of Phase Alternation Line system or TSC-system;
Step 2: the vision signal through the graphics processing unit video inputs is converted into data image signal by Video Decoder, and the Phase Alternation Line system or the TSC-system vision signal that are about to standard are converted to digital difference signal, and its output format is ITU-R BT.656;
Step 3: carry out carrying out image threshold segmentation and binaryzation, target and background is separated, namely adopt maximum variance between clusters to choose the threshold value that image is cut apart automatically according to the luminance signal in every frame of digital color difference signal, brightness value is set to 255 greater than the brightness of the pixel of threshold value, is set to 0 less than the brightness of the pixel of threshold value;
Step 4: utilize the connected domain algorithm, the target in the binary image is divided into a plurality of zones, extract the target that to follow the tracks of according to the criterion of the setting in the algorithm;
Step 5: the To Template of setting up images match with the luminance signal of tracked target, at the Bo Mennei ferret out, calculate the similarity when front template and To Template, with the position of the highest point of similarity as tracked target, if highest similarity is greater than the value of setting, then carry out template renewal, be about to the highest template of similarity as To Template;
Step 6: according to the track of target travel, utilize the position that a bit may occur under the least square method target of prediction, centered by this point, and with fixing ripple door size, the search gate of next frame is set, and send the cradle head control order by serial ports, make The Cloud Terrace move under the target position of a bit;
Step 7: if do not search target at the Bo Mennei of present frame, then in next frame, expand and be twice ripple door size and come ferret out, if next frame does not also search target, then from following frame, adopt the search of connected domain algorithm full screen scanning, up to regaining target;
Step 8: treated image by the Fast Ethernet physical layer, is adopted H.264 standard code compression, transmit the computer decoding vision signal on the network, remote monitoring target following process with the UDP host-host protocol at Ethernet;
Step 9: the integrated management computer sends related command by Ethernet to graphics processing unit, and the target that change will be followed the tracks of and switching tracking mode namely adopt from motion tracking and still manually follow the tracks of.
A kind of target image real-time Transmission and tracking means based on DSP, comprise graphics processing unit, take aim at tool, hunting gear, switch, remote terminal and integrated management PC, wherein, graphics processing unit is respectively with switch, hunting gear with take aim at tool and be connected, switch also is connected with remote terminal with integrated management PC, takes aim at tool and also is connected with hunting gear; Take aim at the visible light vision signal that the camera handle in the tool is gathered, pass to graphics processing unit by the AV video transmission line, graphics processing unit carries out target image and follows the tracks of processing, extract target information, control command is sent to hunting gear by serial ports, hunting gear control is taken aim at tool and is rotated the pursuit movement target, and the processed video image is transferred to switch, switch carries out remote transmission, and the remote terminal on the Ethernet and integrated management PC can monitor tracing process behind the decoded video signal.
The present invention compared with prior art, its remarkable advantage is:
(1) system of the present invention can select tracking target automatically, also can change the target that will follow the tracks of by the integrated management computer;
(2) tracking mode of the present invention can freely changed automatically or manually by the integrated management computer;
(3) system of the present invention adopts the mode that connected domain algorithm and template matching algorithm combine, and realizes the tracking to moving target.With respect to single connected domain algorithm or template matching algorithm, the mode of both combinations can effectively improve the success rate of tracking;
(4) there is Ethernet real-time Transmission function in system of the present invention, can allow real-time monitoring of computer target following process on the network, has novelty and practicality.
Below in conjunction with accompanying drawing the present invention is described in further detail.
Description of drawings
Fig. 1 the present invention is based on the target image real-time Transmission of DSP and the structural representation of tracking means.
Fig. 2 is the composition schematic diagram that the present invention is based on the graphics processing unit of the target image real-time Transmission of DSP and tracking means.
Fig. 3 the present invention is based on the target image real-time Transmission of DSP and the flow chart of tracking.
Embodiment
Referring to Fig. 1, the present invention a kind of target image real-time Transmission and tracking and device thereof based on DSP, its device comprises graphics processing unit, takes aim at tool, hunting gear, switch, remote terminal and integrated management PC, wherein, graphics processing unit is respectively with switch, hunting gear with take aim at tool and be connected, switch also is connected with remote terminal with integrated management PC, takes aim at tool and also is connected with hunting gear; Take aim at the visible light vision signal that the camera handle in the tool is gathered, pass to graphics processing unit by the AV video transmission line, graphics processing unit carries out target image and follows the tracks of processing, extract target information, control command is sent to hunting gear by serial ports, hunting gear control is taken aim at tool and is rotated the pursuit movement target, and the processed video image is transferred to switch, switch carries out remote transmission, and the remote terminal on the Ethernet and integrated management PC can monitor tracing process behind the decoded video signal.
Referring to Fig. 2, graphics processing unit comprises dsp processor, power circuit, reset circuit, clock circuit, debugging interface, serial ports, Fast Ethernet mouth, data memory Flash, synchronous dynamic storage SDRAM and decoder, wherein, dsp processor is connected with Video Decoder with power circuit, reset circuit, clock circuit, debugging interface, serial ports, Fast Ethernet mouth, data memory Flash, synchronous dynamic storage SDRAM respectively.Graphics processing unit is the core component of whole system, it is converted to digital signal gathering the visible light vision signal through Video Decoder, sending into little dsp processor then handles, extract target information on the one hand, the information of gathering is carried out target image follow the tracks of processing, the digital signal after by the Fast Ethernet interface coding being compressed uploads to Ethernet.It is real-time streaming protocol that RTSP is adopted in the Ethernet transmission, UDP is the real time video image transmission technology of bottom host-host protocol, RTSP can provide temporal information and realize that stream synchronously, provide reliable transfer mechanism for transmitting packet in order, flow control or congested control are provided, can make the efficiency of transmission optimization with effective feedback and minimum expense, adopt H.264 video image compression standard, save the network bandwidth.By certain algorithm process, calculate the target location on the other hand, take aim at tool by servomechanism control and rotate the pursuit movement target.Dsp processor is selected high-performance DM642 chip for use, the TVP515O video decoding chip that decoder adopts TI company to produce.
Referring to Fig. 3, a kind of target image real-time Transmission and tracking based on DSP may further comprise the steps:
1.1 video monitoring signal is connected to the video inputs of graphics processing unit by the output of video camera, finishes the input of vision signal, the signal of input is the video standard signal of Phase Alternation Line system or TSC-system.
1.2 the vision signal through the graphics processing unit video inputs is converted into data image signal by Video Decoder, the Phase Alternation Line system or the TSC-system vision signal that are about to standard are converted to digital difference signal, and its output format is ITU-R BT.656.
1.3 carry out carrying out image threshold segmentation and binaryzation, target and background is separated, namely adopt maximum variance between clusters to choose the threshold value that image is cut apart automatically according to the luminance signal in every frame of digital color difference signal, brightness value is set to 255 greater than the brightness of the pixel of threshold value, is set to 0 less than the brightness of the pixel of threshold value.
1.4 utilize the connected domain algorithm based on pixel, the target in the binary image is divided into a plurality of zones, follow the criterion according to the setting in the algorithm to extract the target that will follow the tracks of.
1.5 set up the To Template of images match with the luminance signal of tracked target, the To Template size is got the 20*20 pixel; At the Bo Mennei ferret out, calculate the similarity of real-time subarea image and To Template, calculating formula of similarity is as follows:
Figure 206459DEST_PATH_IMAGE001
Wherein (i j) is reference template image to t, is of a size of M * N.(i j) is real-time subarea image to f;
Figure 960789DEST_PATH_IMAGE002
Similarity satisfies | and r (u, v) | (u, maximum v) is best matched position to≤1, r.In the images match tracing process, the To Template image is sliding in the early pulse, and makes related operation with real-time subarea image, seeks best match point, with the match point of the best position as tracked target.When the similarity of the match point of the best greater than the value of setting, then carry out template renewal, the value of setting is got the number greater than 0.9; The template that adopts refreshes strategy and is:
Figure 283503DEST_PATH_IMAGE004
Wherein, T is new template,
Figure 775664DEST_PATH_IMAGE005
Be the subgraph at current optimal match point place,
Figure 17289DEST_PATH_IMAGE006
For working as front template, α is the confidence level of current optimal match point virgin figure, 0<α<1.
1.6 according to the track of target travel, utilize under the least square method target of prediction position that a bit may occur, with preceding 3 positions of target, come under the target of prediction position of any in the algorithm.The trajectory predictions equation is:
X(k+1)=(4x(k)+x(k-1)?-2x(k-2))/3
Y(k+1)=(4y(k)+y(k-1)?-2y(k-2))/3
Wherein x (t) be target in the position of X direction, y (t) be target in the position of y direction, k is the integer more than or equal to 2;
Centered by this future position, and with the ripple door of 60*60 pixel size, the search gate of next frame is set, and sends the cradle head control order by serial ports, make The Cloud Terrace move under the target position of a bit.
If 1.7 do not search target at the Bo Mennei of present frame, then enlarge ripple door size and come ferret out in next frame, the ripple door size of expansion is 80*80; If next frame does not also search target, then from following frame, adopt the search of connected domain algorithm full screen scanning, up to regaining target.
1.8 treated image by the Fast Ethernet physical layer, is adopted H.264 standard code compression, transmits the computer decoding vision signal on the network, remote monitoring target following process with the UDP host-host protocol at Ethernet.
1.9 integrated management computer monitoring target following process, by the system synthesis administration interface, the tracking mode that system can be set is to adopt from motion tracking or manually tracking, being camera from motion tracking realizes tracking to target according to the tracking control in the algorithm, manually following the tracks of is that the monitor staff is according to video image, send camera by Ethernet to graphics processing unit at the integrated management interface and rotate order, thus control camera tracking target; The monitor staff also can double-click in video window and want the target of following the tracks of, thereby changes the target that will follow the tracks of.

Claims (4)

1. target image real-time Transmission and tracking based on a DSP is characterized in that: may further comprise the steps:
Step 1: video monitoring signal is connected to the video inputs of graphics processing unit by the output of video camera, finishes the input of vision signal, and the signal of input is the video standard signal of Phase Alternation Line system or TSC-system;
Step 2: the vision signal through the graphics processing unit video inputs is converted into data image signal by Video Decoder, and the Phase Alternation Line system or the TSC-system vision signal that are about to standard are converted to digital difference signal, and its output format is ITU-R BT.656;
Step 3: carry out carrying out image threshold segmentation and binaryzation, target and background is separated, namely adopt maximum variance between clusters to choose the threshold value that image is cut apart automatically according to the luminance signal in every frame of digital color difference signal, brightness value is set to 255 greater than the brightness of the pixel of threshold value, is set to 0 less than the brightness of the pixel of threshold value;
Step 4: utilize the connected domain algorithm, the target in the binary image is divided into a plurality of zones, extract the target that to follow the tracks of according to the criterion of the setting in the algorithm;
Step 5: the To Template of setting up images match with the luminance signal of tracked target, at the Bo Mennei ferret out, calculate the similarity when front template and To Template, with the position of the highest point of similarity as tracked target, if highest similarity is greater than the value of setting, then carry out template renewal, be about to the highest template of similarity as To Template;
Step 6: according to the track of target travel, utilize the position that a bit may occur under the least square method target of prediction, centered by this point, and with fixing ripple door size, the search gate of next frame is set, and send the cradle head control order by serial ports, make The Cloud Terrace move under the target position of a bit;
Step 7: if do not search target at the Bo Mennei of present frame, then in next frame, expand and be twice ripple door size and come ferret out, if next frame does not also search target, then from following frame, adopt the search of connected domain algorithm full screen scanning, up to regaining target;
Step 8: treated image by the Fast Ethernet physical layer, is adopted H.264 standard code compression, transmit the computer decoding vision signal on the network, remote monitoring target following process with the UDP host-host protocol at Ethernet;
Step 9: the integrated management computer sends related command by Ethernet to graphics processing unit, and the target that change will be followed the tracks of and switching tracking mode namely adopt from motion tracking and still manually follow the tracks of.
2. a kind of target image real-time Transmission and tracking based on DSP according to claim 1 is characterized in that: the ripple door size in the step 6 for the 50*50 pixel to the 80*80 pixel.
3. target image real-time Transmission and tracking means based on a DSP, it is characterized in that: comprise graphics processing unit, take aim at tool, hunting gear, switch, remote terminal and integrated management PC, wherein, graphics processing unit is respectively with switch, hunting gear with take aim at tool and be connected, switch also is connected with remote terminal with integrated management PC, takes aim at tool and also is connected with hunting gear; The camera of taking aim in the tool passes to graphics processing unit to the visible light vision signal of gathering, graphics processing unit carries out target image and follows the tracks of processing, extract target information, control command is sent to hunting gear by serial ports, hunting gear control is taken aim at tool and is rotated the pursuit movement target, and the processed video image is transferred to switch, and switch carries out remote transmission, and the remote terminal on the Ethernet and integrated management PC can monitor tracing process behind the decoded video signal.
4. a kind of target image real-time Transmission and tracking means based on DSP according to claim 3, it is characterized in that: described graphics processing unit comprises dsp processor, power circuit, reset circuit, clock circuit, debugging interface, serial ports, Fast Ethernet mouth, data memory Flash, synchronous dynamic storage SDRAM and decoder, wherein, dsp processor is connected with Video Decoder with power circuit, reset circuit, clock circuit, debugging interface, serial ports, Fast Ethernet mouth, data memory Flash, synchronous dynamic storage SDRAM respectively.
CN201310117419.0A 2013-04-07 2013-04-07 Based on the target image real-time Transmission of DSP and tracking and device thereof Expired - Fee Related CN103200394B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310117419.0A CN103200394B (en) 2013-04-07 2013-04-07 Based on the target image real-time Transmission of DSP and tracking and device thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310117419.0A CN103200394B (en) 2013-04-07 2013-04-07 Based on the target image real-time Transmission of DSP and tracking and device thereof

Publications (2)

Publication Number Publication Date
CN103200394A true CN103200394A (en) 2013-07-10
CN103200394B CN103200394B (en) 2016-04-20

Family

ID=48722735

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310117419.0A Expired - Fee Related CN103200394B (en) 2013-04-07 2013-04-07 Based on the target image real-time Transmission of DSP and tracking and device thereof

Country Status (1)

Country Link
CN (1) CN103200394B (en)

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103391430A (en) * 2013-07-22 2013-11-13 南通大学 DSP (digital signal processor) based relevant tracking method and special device
CN103838258A (en) * 2014-02-26 2014-06-04 上海微小卫星工程中心 Automatic tracking method and system applied to space-based space target
CN104038744A (en) * 2013-07-22 2014-09-10 南通大学 Correlation tracking method based on DSP (digital signal processor) with high tracking success rate
CN104065925A (en) * 2013-07-22 2014-09-24 南通大学 Low-power-consumption DSP-based relevant tracking method
CN106131482A (en) * 2016-06-27 2016-11-16 西安应用光学研究所 Unmanned carrier optoelectronic aims of systems capture systems and method
CN108196729A (en) * 2018-01-16 2018-06-22 安徽慧视金瞳科技有限公司 A kind of finger tip point rapid detection method based on infrared video
CN108665487A (en) * 2017-10-17 2018-10-16 国网河南省电力公司郑州供电公司 Substation's manipulating object and object localization method based on the fusion of infrared and visible light
CN108769550A (en) * 2018-05-16 2018-11-06 中国人民解放军军事科学院军事医学研究院 A kind of notable analysis system of image based on DSP and method
CN109302592A (en) * 2018-11-29 2019-02-01 中通服咨询设计研究院有限公司 A kind of analysis of animal house Image Acquisition and Transmission system based on FPGA
CN109871813A (en) * 2019-02-25 2019-06-11 沈阳上博智像科技有限公司 A kind of realtime graphic tracking and system
CN109978912A (en) * 2019-02-27 2019-07-05 北方民族大学 A kind of object tracking methods and system based on Bessel square
CN110895120A (en) * 2018-09-13 2020-03-20 中国舰船研究设计中心 Image processing technology-based ship cannon system precision detection device and detection method
CN112613524A (en) * 2020-10-30 2021-04-06 西安方元明科技股份有限公司 Searching and tracking rotary table image processing system
CN113505444A (en) * 2021-09-09 2021-10-15 中国电子科技集团公司第二十八研究所 Self-attention-based multi-dimensional trajectory prediction method and device
CN115877328A (en) * 2023-03-06 2023-03-31 成都鹰谷米特科技有限公司 Signal receiving and transmitting method of array radar and array radar

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101127887A (en) * 2007-08-28 2008-02-20 湖南大学 Intelligent vision monitoring method and device
CN102497543A (en) * 2012-01-06 2012-06-13 合肥博微安全电子科技有限公司 Multi-target tracking method based on DSP and system thereof

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101127887A (en) * 2007-08-28 2008-02-20 湖南大学 Intelligent vision monitoring method and device
CN102497543A (en) * 2012-01-06 2012-06-13 合肥博微安全电子科技有限公司 Multi-target tracking method based on DSP and system thereof

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
卢莉萍,李翰山,张宏: "一种轨道式动态目标跟踪算法", 《南京航空航天大学学报》 *

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103391430B (en) * 2013-07-22 2014-09-10 南通大学 DSP (digital signal processor) based relevant tracking method and special device
CN104038744A (en) * 2013-07-22 2014-09-10 南通大学 Correlation tracking method based on DSP (digital signal processor) with high tracking success rate
CN104065925A (en) * 2013-07-22 2014-09-24 南通大学 Low-power-consumption DSP-based relevant tracking method
CN104065925B (en) * 2013-07-22 2017-02-08 南通大学 Low-power-consumption DSP-based relevant tracking method
CN103391430A (en) * 2013-07-22 2013-11-13 南通大学 DSP (digital signal processor) based relevant tracking method and special device
CN103838258A (en) * 2014-02-26 2014-06-04 上海微小卫星工程中心 Automatic tracking method and system applied to space-based space target
CN103838258B (en) * 2014-02-26 2016-05-25 上海微小卫星工程中心 A kind of automatic tracking method and system that is applied to Space-based Space
CN106131482A (en) * 2016-06-27 2016-11-16 西安应用光学研究所 Unmanned carrier optoelectronic aims of systems capture systems and method
CN106131482B (en) * 2016-06-27 2019-01-11 西安应用光学研究所 Unmanned carrier optoelectronic aims of systems capture systems and method
CN108665487B (en) * 2017-10-17 2022-12-13 国网河南省电力公司郑州供电公司 Transformer substation operation object and target positioning method based on infrared and visible light fusion
CN108665487A (en) * 2017-10-17 2018-10-16 国网河南省电力公司郑州供电公司 Substation's manipulating object and object localization method based on the fusion of infrared and visible light
CN108196729A (en) * 2018-01-16 2018-06-22 安徽慧视金瞳科技有限公司 A kind of finger tip point rapid detection method based on infrared video
CN108769550A (en) * 2018-05-16 2018-11-06 中国人民解放军军事科学院军事医学研究院 A kind of notable analysis system of image based on DSP and method
CN108769550B (en) * 2018-05-16 2020-07-07 中国人民解放军军事科学院军事医学研究院 Image significance analysis system and method based on DSP
CN110895120A (en) * 2018-09-13 2020-03-20 中国舰船研究设计中心 Image processing technology-based ship cannon system precision detection device and detection method
CN110895120B (en) * 2018-09-13 2022-04-08 中国舰船研究设计中心 Image processing technology-based ship cannon system precision detection device and detection method
CN109302592A (en) * 2018-11-29 2019-02-01 中通服咨询设计研究院有限公司 A kind of analysis of animal house Image Acquisition and Transmission system based on FPGA
CN109871813A (en) * 2019-02-25 2019-06-11 沈阳上博智像科技有限公司 A kind of realtime graphic tracking and system
CN109978912A (en) * 2019-02-27 2019-07-05 北方民族大学 A kind of object tracking methods and system based on Bessel square
CN112613524A (en) * 2020-10-30 2021-04-06 西安方元明科技股份有限公司 Searching and tracking rotary table image processing system
CN113505444A (en) * 2021-09-09 2021-10-15 中国电子科技集团公司第二十八研究所 Self-attention-based multi-dimensional trajectory prediction method and device
CN115877328A (en) * 2023-03-06 2023-03-31 成都鹰谷米特科技有限公司 Signal receiving and transmitting method of array radar and array radar

Also Published As

Publication number Publication date
CN103200394B (en) 2016-04-20

Similar Documents

Publication Publication Date Title
CN103200394B (en) Based on the target image real-time Transmission of DSP and tracking and device thereof
US20190370980A1 (en) System and method for real-time detection of objects in motion
US9928605B2 (en) Real-time cascaded object recognition
JP4715909B2 (en) Image processing apparatus and method, image processing system, and image processing program
CN110175587B (en) Video tracking method based on face recognition and gait recognition algorithm
CN104883548B (en) Monitor video face captures processing method and its system
US20110255590A1 (en) Data transmission apparatus and method, network data transmission system and method using the same
US9615015B2 (en) Systems methods for camera control using historical or predicted event data
CN103595965B (en) The mobile video monitoring method controlled based on video flow
Sgouropoulos et al. Counting and tracking people in a smart room: An IoT approach
WO2012163129A1 (en) Intelligent video surveillance system and method
CN105227810B (en) A kind of automatic focusing helmet video camera based on BIBAVR algorithms
Lin et al. Sparse4d v3: Advancing end-to-end 3d detection and tracking
Jiang et al. Perceive, interact, predict: Learning dynamic and static clues for end-to-end motion prediction
US9065975B2 (en) Method and apparatus for hands-free control of a far end camera
CN112052785A (en) Intelligent monitoring system of inspection robot
JP5625443B2 (en) Imaging system and imaging apparatus
CN105245845A (en) Method for controlling camera to follow and shoot automatically based on gathering trend in match field
Qi et al. A dataset and system for real-time gun detection in surveillance video using deep learning
Liu et al. PETRI: Reducing bandwidth requirement in smart surveillance by edge-cloud collaborative adaptive frame clustering and pipelined bidirectional tracking
Gao et al. A joint local–global search mechanism for long-term tracking with dynamic memory network
CN111027195A (en) Simulation scene generation method, device and equipment
KR20150019230A (en) Method and apparatus for tracking object using multiple camera
JP2017204795A (en) Tracking apparatus
CN103237195A (en) Real-time target image transmitting and tracking system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160420

Termination date: 20180407