CN105702049A - DSP-based emergency lane monitoring system and realizing method thereof - Google Patents
DSP-based emergency lane monitoring system and realizing method thereof Download PDFInfo
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- CN105702049A CN105702049A CN201610185544.9A CN201610185544A CN105702049A CN 105702049 A CN105702049 A CN 105702049A CN 201610185544 A CN201610185544 A CN 201610185544A CN 105702049 A CN105702049 A CN 105702049A
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- emergency vehicle
- dsp
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- lane
- vehicle lane
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
Abstract
The invention discloses a DSP-based emergency lane monitoring system and a realizing method thereof. The DSP-based emergency lane monitoring system comprises a high-resolution camera, a DSP embedded experiment box and information processing equipment, wherein the high-resolution camera, the DSP embedded experiment box and the information processing equipment are successively connected in a data transmission manner. The high-resolution camera is mounted at a position where an image in the emergency lane and identification lines can be simultaneously acquired. Furthermore the single picture of the acquired video image frame has basic conditions for identifying a license plate. Lane identification line edge detection is performed on an input monitoring video flow, and then image dividing is performed. Vehicle determining is performed on an emergency lane area which is reserved after dividing. If no vehicle exists, image transmission of a next frame is performed. If a vehicle exists, license plate identification is performed. The DSP-based emergency lane monitoring system realizes processing of an acquired video image and directly identifies a fact whether the vehicle in the emergency lane breaks a role without snapshot, thereby saving snapshot time and improving real-time performance of a road monitoring system.
Description
Technical field
The present invention relates to technical field of computer vision, be specifically related to a kind of Emergency Vehicle Lane based on DSP and monitor system and realize method。
Background technology
Emergency Vehicle Lane on highway, be perform urgent public affair etc. for engineering emergency, fire-fighting and rescue, medical aid or people's police specially ought to the designated lane of vehicle of urgent thing business。" the People's Republic of China's law on road traffic safety implementing regulations " the 82nd article of regulation: when motor vehicles travels on a highway, nonemergency must not travel at Emergency Vehicle Lane or stop。But, nowadays many drivers are had to ignore this regulation, especially emergency case is run into when causing highway to block up, in order to strive for little time, many drivers usually illegally occupy Emergency Vehicle Lane driving, but causing that various emergency vehicles cannot quickly and successfully arrive at accident spot by Emergency Vehicle Lane, thus having delayed the process of accident, other people personal safety and property safety being caused loss inestimable, that cannot retrieve。
In existing traffic security protection, highway all adopts multi-cam acquisition monitoring video mostly, the more all videos gathered are carried out manual analysis。The shortcoming that this mode exists has: a, required for the video checked many, artificial treatment efficiency is low；B, people's own limitations, visual fatigue etc. causes " missing inspection " etc.；C, artificial treatment can not realize real-time detection, remind in time。
High speed development along with computer vision, intelligent video analysis technology obtains wideling popularize utilization at traffic safety-security area, but, what the intelligent monitoring technology occurred at present nearly all adopted is trigger the mode captured, its principle is to detect that rule-breaking vehicle triggers that carrying out takes pictures stays proof again by correlation detection technology, detect including microwave, infrared detection, magnetometer detects, induction coil detection etc., and these detections or must destroy highway sunkens cord circle, associated transmissions equipment must be installed, simultaneously affected by environment bigger, this is greatly improved cost and have impact on effect。
Summary of the invention
For overcoming the problems referred to above of the prior art, the invention provides a kind of Emergency Vehicle Lane based on DSP monitor system and realize method, can carry out the video image collected processing in real time and directly to whether the vehicle on Emergency Vehicle Lane is identified in violation of rules and regulations, without capturing, save the candid photograph time, improve the real-time of freeway monitoring system。
To achieve these goals, the technical solution used in the present invention is as follows:
A kind of Emergency Vehicle Lane based on DSP monitors system, including the high-definition camera, DSP Embedded System Experiment case and the messaging device that connect with data transfer mode successively；Described DSP Embedded System Experiment case includes dsp chip, the decoder that is connected with dsp chip, encoder, Ethernet chip, and the display being connected with described encoder；Described high-definition camera is connected with decoder, and described messaging device is connected with Ethernet chip by RJ-45 interface；Described high-definition camera is arranged on and can gather Emergency Vehicle Lane internal image simultaneously and identify the place of line, and the single picture of the video frame image of its collection possesses the primary condition of Car license recognition。
Further, described DSP Embedded System Experiment case also includes the SARAM internal memory and the Flash internal memory that are connected by EMIF interface with dsp chip。
What present invention also offers this Emergency Vehicle Lane monitoring system realizes method, comprises the following steps:
(1) input monitoring video flowing；
(2) monitoring video flow is carried out after lane identification line edge detection and image segmentation；
(3) the Emergency Vehicle Lane image after segmentation is analyzed, it is judged that whether have vehicle in Emergency Vehicle Lane: if without vehicle, then continue step (1)；If there being vehicle, then perform step (4)；
(4) region at Emergency Vehicle Lane place after segmentation is carried out Car license recognition；
(5) information is carried out classification process, preserve useful information and be transferred to traffic control center and car owner。
As preferably, in described step (1), monitoring video flow to pass through to process every frame and be transmitted。
Specifically, in described step (2), described lane identification line edge detection refers to by Hough algorithm and SPL detection method, it is determined that Emergency Vehicle Lane identification line is rectilinear stretch or curved lanes。
Further, in described step (2), image segmentation is automatically to be split by image specific region, and the region retained after segmentation is the cut-off rule region at interior Emergency Vehicle Lane place。
Further, the region of described reservation specifically includes the lane identification line of conventional track and Emergency Vehicle Lane and the line of the spatial vertical line of visual field end at a distance of the line of lane identification within sweep of the eye captured by photographic head and the several picture region formed with lane identification line for marginal Emergency Vehicle Lane side video image edge line。
Yet further, in described step (3), it is judged that whether have vehicle in Emergency Vehicle Lane, refer to and judge whether have car plate in the region of image segmentation。
Further, in described step (4), the step of Car license recognition includes successively: the acquisition of vehicle image, License Plate, License Plate Character Segmentation, Recognition of License Plate Characters。
As preferably, in described step (5), output useful information includes the whole picture occupying Emergency Vehicle Lane, the data of license plate number, if hypervelocity, and the information of car owner。
Compared with prior art, the method have the advantages that
(1) present invention is by processing and directly to whether the vehicle on Emergency Vehicle Lane is identified in violation of rules and regulations the video image collected based on the Embedded System Experiment case of DSP, without capturing, save the candid photograph time, improve the real-time of freeway monitoring system, to the occupied preservation valid data of Emergency Vehicle Lane, strong voucher is provided for traffic administration, add Emergency Vehicle Lane supervision, when there being road traffic accident, ensure that the unimpeded of life passage, decrease because rescuing the injures and deaths caused not in time, highway traffic control is played a positive role。
(2) monitoring video flow is transmitted to intelligent video analysis system by the present invention after processing every frame again, to improve the efficiency of image monitor in real time, violation vehicle detection in whole monitoring process is all vehicle detection by computer vision and recognizer carries out automatically with identifying, need not manually go real-time lookup and monitoring, decrease the input of human resources。
(4) in the present invention, image segmentation carries out according to based on Emergency Vehicle Lane identification line, it is the spatial vertical region at Emergency Vehicle Lane place by automatically splitting what retain, cast out the spatial vertical region at other places, track, even if Emergency Vehicle Lane having on violation vehicle and normal lane have vehicle, after splitting based on Emergency Vehicle Lane identification line, only the spatial vertical region at Emergency Vehicle Lane place need to be carried out Car license recognition, saved the whole image processing and analyzing time and ensure that the information better processing preservation violation vehicle。
(5) the monitoring system of the present invention is by high-definition camera, form with the TMS320DM642 DSP Embedded System Experiment case being main control chip and messaging device, there is stronger integration, target road section just can be monitored by the Embedded System Experiment case having only to connect the inventive method realization at the end that the HD video of existing monitoring transmits, special highway division and the monitoring of daily highway communication, specifically certain application and development value and market prospect can be widely used in。
Accompanying drawing explanation
Fig. 1 is the structural representation of the present invention。
Fig. 2 is the particular flow sheet of the present invention。
Fig. 3 is lane identification line be straight line image segmentation simulation drawing。
Fig. 4 is lane identification line be curve image segmentation simulation drawing
Fig. 5 is Central Plains of the present invention two field picture simulation drawing。
Fig. 6 is image segmentation simulation drawing in the present invention。
Fig. 7 be in the present invention image segmentation after simulation drawing
Division name in accompanying drawing is:
1-Emergency Vehicle Lane identification line, 2-Emergency Vehicle Lane。
Detailed description of the invention
Below in conjunction with drawings and Examples, the invention will be further described, and embodiments of the present invention include but not limited to the following example。
Embodiment
As it is shown in figure 1, a kind of Emergency Vehicle Lane based on DSP monitors system, including the high-definition camera, DSP Embedded System Experiment case and the messaging device that connect with data transfer mode successively；Described DSP Embedded System Experiment case includes dsp chip, the decoder that is connected with dsp chip, encoder, Ethernet chip, and the display being connected with described encoder；Described high-definition camera is connected with decoder, and described messaging device is connected with Ethernet chip by RJ-45 interface；Described high-definition camera is arranged on and can gather Emergency Vehicle Lane internal image simultaneously and identify the place of line, and the single picture of the video frame image of its collection possesses the primary condition of Car license recognition。
In the present embodiment, high-definition camera adopts CCD camera, and dsp chip adopts TMS320DM642, and decoder adopts TVP5150, and encoder adopts SAA7150H, and Ethernet chip adopts LXT972。
The video signal of CCD camera is input to TVP5150 decoder with PLA/NTSC form, after decoder decodes, obtain the digital difference signal of BT.656 form, this signal is incoming by the VP0 interface of DM642 chip, the video codeword data stream that DM642 chip generates after digital difference signal is processed, on the one hand by the incoming SAA7150H encoder of VP2 interface, realize monitor in real time by the display being connected with SAA7150H encoder；The opposing party will pass through LXT972 Ethernet chip and result be transferred to messaging device。Although DM642 chip carries RAM, but owing to this system is to process in real time, the expense of memorizer is big, so by the external high performance SDRAM of the EMIF interface of DM642 chip, to improve the speed that program is run and data process；Also add the FLASH internal memory for storage system software and program simultaneously。
As in figure 2 it is shown, what the invention provides this monitoring system realizes method, comprise the following steps:
(1) input monitoring video flowing；
(2) monitoring video flow is carried out after lane identification line edge detection and image segmentation；
(3) the Emergency Vehicle Lane image after segmentation is analyzed, it is judged that whether have vehicle in Emergency Vehicle Lane: if without vehicle, then continue step (1)；If there being vehicle, then perform step (4)；
(4) region at Emergency Vehicle Lane place after segmentation is carried out Car license recognition；
(5) information is carried out classification process, preserve useful information and be transferred to traffic control center and car owner。
Most video image stabilization frame number is usually no more than 25 frames/second, but the present invention needs video flowing is carried out monitor in real time analysis, therefore to carry out the picture frame gathered processing every frame calculating, improve live effect。
As it is shown on figure 3, in step (2), the extraction of lane line adopts based on Hough algorithm and SPL detection method, detects rectilinear stretch and curved lanes。The image segmentation carried out is based on based on lane identification line to carry out, it is first pass through lane identification line to carry out rim detection to determine that Emergency Vehicle Lane identification line carries out region segmentation again, partitioning scheme is automatically to be split by image specific region, the region retained after segmentation is the cut-off rule region at interior Emergency Vehicle Lane place, shown in broken box in Fig. 4, line that the region of this reservation specifically includes the lane identification line (straight line or curve) of conventional track and Emergency Vehicle Lane and the line of the lane identification within sweep of the eye spatial vertical line of visual field end at a distance of shot by camera and the several picture region formed for marginal Emergency Vehicle Lane side video image edge line with lane identification line。The specific cut zone of image is arranged when high-definition camera installation and debugging, cut zone size also to account for according to the actual road surface of local transit administrative law regulation and how much calculate illegal and determine, it is standard according to the general 1.5-2m of car size, generally wants split and obtain region, actual road surface and then exceed Emergency Vehicle Lane identification alignment normal lane and lean on 0.75m the vehicle pressing emergency car diatom could be carried out Car license recognition。
In described step (3), it is determined whether have vehicle to be really and determine whether there is car plate, because the region split by image has calculated that the width of car, so actual area is more than Emergency Vehicle Lane region。If there being vehicle width less than standard overall width and not cross Emergency Vehicle Lane but have part vehicle body and car plate car within the scope of segmentation to be also carried out Car license recognition, then this behavior be not belonging to described in this method illegal。If having vehicle width within the scope of standard overall width and there is no Emergency Vehicle Lane but had part vehicle body within the scope of segmentation, then carrying out step (1) voluntarily, if car plate having been detected, carrying out step (4)。
In step (4), the step that Car license recognition carries out is followed successively by: the acquisition of vehicle image, License Plate, License Plate Character Segmentation, Recognition of License Plate Characters, and each step is also realized by optimal effectiveness algorithm in computer vision。
In step (5), by messaging device, information is carried out classification process, send relevant violation information to car owner on the one hand, including car owner's relevant information, license plate number, in violation of rules and regulations section title, whether exceed the speed limit, punish result；The opposing party's Information sends to vehicle supervision department and preserves relevant evidence, occupies the information such as the picture of Emergency Vehicle Lane, car owner's relevant information, license plate number, in violation of rules and regulations section title, whether hypervelocity including whole。Judge whether to exceed the speed limit and be time by recording and the distance of actual motion quickly calculates speed substantially, and useful information is transferred to traffic control center。
Individual artwork sheet that one frame video image application the inventive method carries out below in conjunction with certain highway division video extraction carries out instance processes。
The former frame simulation drawing of Tu5Wei Mouduan highway video pictures, in figure, limb recognition line in track is straight line, the single picture of original video frame image, details are waited including video image acquisition device numbering, acquisition time and place, the visual field wants to react position scenario, and relevant information to be shown in region, non-emergency track；Fig. 6 is the simulation drawing that Fig. 5 carries out image segmentation, in Fig. 6 shown in broken box, with the area of space that the face that the road plane at Emergency Vehicle Lane identification line place is perpendicular is split for divisional plane。
As it is shown in fig. 7, cast out the M spatial vertical region that spatial vertical region is A car place at other places, track by automatically segmentation, reservation is the N spatial vertical region at B car place, i.e. the spatial vertical region at Emergency Vehicle Lane place,
Then again the region at Emergency Vehicle Lane place after segmentation is judged whether this region has vehicle again, there is B car in the spatial vertical region at anxious place, track in this example, so again B car having been carried out Car license recognition and having preserved useful information, the picture preserved be Emergency Vehicle Lane has vehicle and carry out Car license recognition segmentation before former note image。
Above-described embodiment is only the preferred embodiments of the present invention, not limiting the scope of the invention, as long as adopting the design principle of the present invention, and the change carrying out non-creativeness work on this basis and making, all should belong within protection scope of the present invention。
Claims (10)
1. the Emergency Vehicle Lane based on DSP monitors system, it is characterised in that include the high-definition camera, DSP Embedded System Experiment case and the messaging device that connect successively with data transfer mode；Described DSP Embedded System Experiment case includes dsp chip, the decoder that is connected with dsp chip, encoder, Ethernet chip, and the display being connected with described encoder；Described high-definition camera is connected with decoder, and described messaging device is connected with Ethernet chip by RJ-45 interface；Described high-definition camera is arranged on and can gather Emergency Vehicle Lane internal image simultaneously and identify the place of line, and the single picture of the video frame image of its collection possesses the primary condition of Car license recognition。
2. a kind of Emergency Vehicle Lane based on DSP according to claim 1 monitors system, it is characterised in that described DSP Embedded System Experiment case also includes the SARAM internal memory and the Flash internal memory that are connected by EMIF interface with dsp chip。
3. described in an any one of claim 1 ~ 2 Emergency Vehicle Lane monitoring system realize method, it is characterised in that comprise the following steps:
(1) input monitoring video flowing；
(2) monitoring video flow is carried out after lane identification line edge detection and image segmentation；
(3) the Emergency Vehicle Lane image after segmentation is analyzed, it is judged that whether have vehicle in Emergency Vehicle Lane: if without vehicle, then continue step (1)；If there being vehicle, then perform step (4)；
(4) region at Emergency Vehicle Lane place after segmentation is carried out Car license recognition；
(5) information is carried out classification process, preserve useful information and be transferred to traffic control center and car owner。
4. according to claim 3 realizing method, it is characterised in that in described step (1), monitoring video flow to pass through to process every frame and be transmitted。
5. according to claim 4 realize method, it is characterised in that in described step (2), described lane identification line edge detection refers to by Hough algorithm and SPL detection method, it is determined that Emergency Vehicle Lane identification line is rectilinear stretch or curved lanes。
6. according to claim 5 realizing method, it is characterised in that in described step (2), image segmentation is automatically to be split by image specific region, and the region retained after segmentation is the cut-off rule region at interior Emergency Vehicle Lane place。
7. according to claim 6 realize method, it is characterized in that, the region of described reservation specifically includes the lane identification line of conventional track and Emergency Vehicle Lane and the line of the spatial vertical line of visual field end at a distance of the line of lane identification within sweep of the eye captured by photographic head and the several picture region formed with lane identification line for marginal Emergency Vehicle Lane side video image edge line。
8. according to claim 7 realize method, it is characterised in that in described step (3), it is judged that whether have vehicle in Emergency Vehicle Lane, refer to and judge whether have car plate in the region of image segmentation。
9. according to claim 8 realize method, it is characterised in that in described step (4), the step of Car license recognition includes successively: the acquisition of vehicle image, License Plate, License Plate Character Segmentation, Recognition of License Plate Characters。
10. according to claim 9 realizing method, it is characterised in that in described step (5), output useful information includes the whole picture occupying Emergency Vehicle Lane, the data of license plate number, if hypervelocity, and the information of car owner。
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| CN107527506A (en) * | 2017-09-20 | 2017-12-29 | 上海安道雷光波系统工程有限公司 | Embedded radar monitors recombination optics and radar monitoring capturing system and method |
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| CN108765950A (en) * | 2018-06-07 | 2018-11-06 | 武汉鑫科信科技有限公司 | A kind of open air traffic real-time high-definition video monitoring evidence-obtaining system |
| CN108932852A (en) * | 2018-06-22 | 2018-12-04 | 安徽科力信息产业有限责任公司 | A kind of illegal method and device for occupying Emergency Vehicle Lane behavior of record motor vehicle |
| US20190263410A1 (en) * | 2018-02-23 | 2019-08-29 | Valeo Schalter Und Sensoren Gmbh | Driver support method for a vehicle |
| CN111754767A (en) * | 2020-04-30 | 2020-10-09 | 深圳市奥拓电子股份有限公司 | Highway traffic early warning method, device and system based on intelligent lamp pole |
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| CN113408413A (en) * | 2021-06-18 | 2021-09-17 | 苏州科达科技股份有限公司 | Emergency lane identification method, system and device |
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| CN113408413A (en) * | 2021-06-18 | 2021-09-17 | 苏州科达科技股份有限公司 | Emergency lane identification method, system and device |
| CN113408413B (en) * | 2021-06-18 | 2023-03-24 | 苏州科达科技股份有限公司 | Emergency lane identification method, system and device |
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