CN109902591B - Automobile searching system - Google Patents
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- CN109902591B CN109902591B CN201910094056.0A CN201910094056A CN109902591B CN 109902591 B CN109902591 B CN 109902591B CN 201910094056 A CN201910094056 A CN 201910094056A CN 109902591 B CN109902591 B CN 109902591B
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Abstract
The application discloses an automobile searching system. The system comprises: the vehicle type analysis equipment is arranged on the helicopter and is used for acquiring a plurality of automobile areas and high-definition photographed images corresponding to the automobile areas, and carrying out vehicle type identification on each automobile area so as to acquire vehicle type information corresponding to each automobile area; the first data statistics device is connected with real-time shooting equipment of the helicopter and is used for receiving multi-frame high-definition shooting images in a preset time interval and processing each frame of high-definition shooting image: and selecting a curve which bypasses the maximum target contour shape in the high-definition aerial image as a target curve based on the shape of the maximum target contour in the high-definition aerial image, taking each pixel point passing through the target curve in the high-definition aerial image as a reference pixel point, and calculating the statistical data of the reference pixel point. The application can solve the technical problem of difficult automobile searching in the high-altitude environment.
Description
The application is a divisional application of Chinese patent with the application date of 2018, 3, 13, 201810203591.0 and the name of 'an automobile searching system based on modified image processing'.
Technical Field
The application relates to the field of image processing, in particular to an automobile searching system, and more particularly relates to an automobile searching system based on modified image processing.
Background
Currently, the search mode of the criminals 'cars driving for escape is performed by police or related government law enforcement departments, or by visual observation of the aircraft personnel driving the helicopter, and each area to be searched is sequentially searched to perform key investigation on the car types matched with the criminals' cars.
On the one hand, the searching mode in the prior art has poor reliability of naked eye judgment, particularly in a region with heavy traffic, because the number of automobiles is too large, correct judgment on all automobile types of the automobiles is difficult to be carried out in a short time, and once one automobile is missed, the front work is abandoned; on the other hand, the regional searching mode further increases the workload of the aircraft personnel driving the helicopter, the time is long, when the aircraft personnel driving the helicopter enter a tired state, effective vehicle type matching and automobile searching are difficult to continuously realize, and meanwhile, when the aircraft personnel driving the helicopter are not focused on driving, the aircraft personnel driving the helicopter are easy to cause the occurrence of flight accidents.
Therefore, there is a need for a reliable criminal car search scheme for helicopters that frees the aircraft personnel piloting the helicopter from heavy car search efforts to automate the criminal car search.
Disclosure of Invention
The present application aims to overcome or at least partially solve or alleviate the above-mentioned problems.
In order to solve the problems, the application provides an automobile searching system based on modified image processing, which introduces an automobile type analysis device for acquiring a plurality of automobile areas and high-definition machine shooting images corresponding to the automobile areas while using an image acquisition device and an image processing device which are adaptive to high-altitude environments, carries out automobile type identification on each automobile area to obtain automobile type information corresponding to each automobile area, searches a plurality of automobile type information corresponding to each automobile area based on preset automobile type information, and outputs the automobile area corresponding to the searched automobile type information as an automobile target area.
According to one aspect of the present application, there is provided an automobile search system, the system comprising:
the vehicle type analysis equipment is arranged on the helicopter and is used for acquiring a plurality of automobile areas and high-definition photographed images corresponding to the automobile areas, and carrying out vehicle type identification on each automobile area so as to acquire vehicle type information corresponding to each automobile area; in the vehicle type analysis equipment, searching a plurality of vehicle type information corresponding to the plurality of vehicle areas respectively based on preset vehicle type information, and outputting the vehicle area corresponding to the searched vehicle type information as a vehicle target area;
the first data statistics device is connected with the real-time shooting device of the helicopter and is used for receiving multi-frame high-definition shooting images in a preset time interval, and executing the following processing on each frame of high-definition shooting image: selecting a curve which bypasses the maximum target contour shape in the high-definition aerial image as a target curve based on the shape of the maximum target contour in the high-definition aerial image, taking each pixel point which passes through the target curve in the high-definition aerial image as a reference pixel point, multiplying a red component of each reference pixel point and a blue component of the reference pixel point to obtain a component product value of the reference pixel point, taking a square value of a green component of the reference pixel point to obtain a component square value of the reference pixel point, and dividing the component square value by the component product value to obtain statistical data of the reference pixel point.
Optionally, the preset vehicle type information is a vehicle type of the tracked vehicle.
Optionally, the system further comprises:
the Beidou navigation device is arranged on the helicopter and used for acquiring and outputting the current navigation position of the helicopter.
Optionally, the system further comprises:
the height measuring instrument is arranged on the helicopter and is used for acquiring and outputting the real-time height corresponding to the current flight position of the helicopter.
Optionally, the system further comprises:
the shooting information acquisition equipment is respectively connected with the vehicle type analysis equipment, the Beidou navigation equipment and the height measuring instrument and is used for receiving the current navigation position, the real-time height and the automobile target area;
the shooting information acquisition device further determines the real-time navigation position of the tracked automobile based on the current navigation position, the real-time altitude and the relative positions of the high-definition shooting images of the automobile target area corresponding to the automobile areas.
Optionally, the system further comprises:
and the forbidden alarm device is connected with the shooting information acquisition device and is used for sending out forbidden alarm signals when the real-time navigation position of the tracked automobile is a preset forbidden area, wherein the preset forbidden area is one or more areas.
Optionally, the system further comprises:
the second data statistics device is connected with the first data statistics device, and is used for receiving the statistics data of each reference pixel point of the multi-frame high-definition machine shot image, outputting the numerical value with the largest occurrence frequency in the statistics data of each pixel point of the multi-frame high-definition machine shot image as a frequency processing result, comparing the frequency processing result with a reference limit, sending out a brightness shortage signal when the frequency processing result is smaller than the reference limit, and sending out a brightness sufficiency signal when the frequency processing result is larger than or equal to the reference limit.
Optionally, the system further comprises:
the data adjusting device is respectively connected with the real-time beat device and the second data statistics device, and is used for receiving the frequency processing result, keeping the reference edge enhancement value unchanged to be output as an adjusting edge enhancement value when the enough brightness signal is received, and adjusting the reference edge enhancement value to be output as an adjusting edge enhancement value when the insufficient brightness signal is received based on the frequency processing result, wherein the smaller the frequency processing result is, the larger the adjusting edge enhancement value is;
the sub-image segmentation device is connected with the edge enhancement device and is used for receiving the edge enhancement image, determining whether each pixel point in the edge enhancement image is a jump pixel point or not based on the jump degree of the pixel value from each pixel point to surrounding pixel points, and outputting an image formed by all jump pixel points in the edge enhancement image as a sub-image to be fitted;
the fitting processing equipment is connected with the sub-image segmentation equipment and is used for receiving the sub-images to be fitted and executing image fitting processing on the sub-images to be fitted so as to obtain fitted images to be output as sub-images to be analyzed;
the target detection device is connected with the fitting processing device and is used for receiving the sub-images to be analyzed and identifying a plurality of automobile areas from the sub-images to be analyzed.
Optionally, the system further comprises:
and the timing device is connected with the first data statistics device and is used for providing timing operation for the first data statistics device.
Optionally, the system further comprises:
and the SD memory card is respectively connected with the first data statistics equipment and the second data statistics equipment and is used for storing the preset time interval and the reference limit.
Based on the above scheme, the application has at least the following four important application points:
(1) On the basis of unified judgment of multi-frame image data, selecting background pixel points as much as possible for image brightness analysis, and selecting a curve bypassing the maximum target contour shape in the high-definition aerial image as a target curve of the selected pixel points, so that the effectiveness of image data analysis is ensured;
(2) Based on the feedback condition of the previous shot image, carrying out self-adaptive adjustment of the amplitude of the edge enhancement processing, thereby ensuring the usability and consistency of the acquired image data;
(3) The judgment mode of jumping pixel points and the image fitting processing are adopted in the image recognition, so that the effectiveness of the acquired image to be recognized is improved;
(4) The real-time navigation position of the tracked automobile is determined through analysis of a preset automobile model of the tracked automobile, and a forbidden alarm signal is sent out when the real-time navigation position of the tracked automobile is a preset forbidden area, so that various forbidden areas are prevented from being wrongly broken by the automobile.
The above, as well as additional objectives, advantages, and features of the present application will become apparent to those skilled in the art from the following detailed description of a specific embodiment of the present application when read in conjunction with the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. Some specific embodiments of the application will be described in detail hereinafter by way of example and not by way of limitation with reference to the accompanying drawings. The same reference numbers will be used throughout the drawings to refer to the same or like parts or portions. It will be appreciated by those skilled in the art that the drawings are not necessarily drawn to scale. In the drawings:
fig. 1 is a schematic view of an area search of an automotive search system according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In order to overcome the defects, the application provides an automobile searching system, which can replace a manual searching mode by adopting an electronic searching mode based on modified image processing, thereby improving the searching efficiency and the searching precision.
Fig. 1 is a schematic view of an area search of an automotive search system according to an embodiment of the present application, which may include:
the vehicle type analysis equipment is arranged on the helicopter and is used for acquiring a plurality of automobile areas and high-definition photographed images corresponding to the automobile areas, and carrying out vehicle type identification on each automobile area so as to acquire vehicle type information corresponding to each automobile area;
in the vehicle type analysis device, a plurality of vehicle type information corresponding to the plurality of vehicle regions respectively is searched based on preset vehicle type information, and the vehicle region corresponding to the searched vehicle type information is output as a vehicle target region.
The preset vehicle type information is the vehicle type of the tracked vehicle.
Next, a specific configuration of the automobile search system based on the modified image processing according to the present application will be further described.
In the automobile search system based on the modified image processing, the method may further include:
the height measuring instrument is arranged on the helicopter and is used for acquiring and outputting the real-time height corresponding to the current flight position of the helicopter.
The Beidou navigation device is arranged on the helicopter and used for acquiring and outputting the current navigation position of the helicopter.
In the automobile search system based on the modified image processing, the method may further include:
and the shooting information acquisition equipment is respectively connected with the vehicle type analysis equipment, the Beidou navigation equipment and the height measuring instrument and is used for receiving the current navigation position, the real-time height and the automobile target area.
The shooting information acquisition device further determines the real-time navigation position of the tracked automobile based on the current navigation position, the real-time altitude and the relative positions of the high-definition shooting images of the automobile target area corresponding to the automobile areas.
In the automobile search system based on the modified image processing, the method may further include:
and the forbidden alarm device is connected with the shooting information acquisition device and is used for sending out forbidden alarm signals when the real-time navigation position of the tracked automobile is a preset forbidden area, wherein the preset forbidden area is one or more areas.
The first data statistics device is connected with the real-time shooting device of the helicopter and is used for receiving multi-frame high-definition shooting images in a preset time interval, and executing the following processing on each frame of high-definition shooting image: selecting a curve which bypasses the maximum target contour shape in the high-definition aerial image as a target curve based on the shape of the maximum target contour in the high-definition aerial image, taking each pixel point which passes through the target curve in the high-definition aerial image as a reference pixel point, multiplying a red component of each reference pixel point and a blue component of the reference pixel point to obtain a component product value of the reference pixel point, taking a square value of a green component of the reference pixel point to obtain a component square value of the reference pixel point, and dividing the component square value by the component product value to obtain statistical data of the reference pixel point.
In the automobile search system based on the modified image processing, the method may further include:
the second data statistics device is connected with the first data statistics device, and is used for receiving the statistics data of each reference pixel point of the multi-frame high-definition machine shot image, outputting the numerical value with the largest occurrence frequency in the statistics data of each pixel point of the multi-frame high-definition machine shot image as a frequency processing result, comparing the frequency processing result with a reference limit, sending out a brightness shortage signal when the frequency processing result is smaller than the reference limit, and sending out a brightness sufficiency signal when the frequency processing result is larger than or equal to the reference limit.
In the automobile search system based on the modified image processing, the method may further include:
the data adjusting device is respectively connected with the real-time beat device and the second data statistics device, and is used for receiving the frequency processing result, keeping the reference edge enhancement value unchanged to be output as an adjusting edge enhancement value when the enough brightness signal is received, and adjusting the reference edge enhancement value to be output as an adjusting edge enhancement value when the insufficient brightness signal is received based on the frequency processing result, wherein the smaller the frequency processing result is, the larger the adjusting edge enhancement value is.
And the edge enhancement device is respectively connected with the data adjustment device and the real-time machine shooting device and is used for receiving the adjustment edge enhancement value and continuously receiving the high-definition machine shooting image, and carrying out edge enhancement processing on the high-definition machine shooting image based on the adjustment edge enhancement value so as to obtain a corresponding edge enhancement image.
The sub-image segmentation device is connected with the edge enhancement device and is used for receiving the edge enhancement image, determining whether each pixel point in the edge enhancement image is a jump pixel point or not based on the jump degree of the pixel value from each pixel point to surrounding pixel points, and outputting an image formed by all jump pixel points in the edge enhancement image as a sub-image to be fitted.
And the fitting processing equipment is connected with the sub-image segmentation equipment and is used for receiving the sub-images to be fitted and executing image fitting processing on the sub-images to be fitted so as to obtain the images after the fitting processing to be output as sub-images to be analyzed.
The target detection device is connected with the fitting processing device and is used for receiving the sub-images to be analyzed and identifying a plurality of automobile areas from the sub-images to be analyzed.
In the automobile search system based on the modified image processing, the method may further include:
and the timing device is connected with the first data statistics device and is used for providing timing operation for the first data statistics device.
In the automobile search system based on the modified image processing, the method may further include:
and the SD memory card is respectively connected with the first data statistics equipment and the second data statistics equipment and is used for storing the preset time interval and the reference limit.
In addition, in the automobile searching system based on the modified image processing, the automobile searching system further comprises: and the WiFi communication interface is connected with the shooting information acquisition equipment and used for receiving and wirelessly forwarding the current navigation position, the real-time height and the automobile target area.
Symmetry of uplink and downlink data traffic is a significant advantage of WiFi for GPRS, CDMA1x, 1xRTT, EV-DO, EV-DV, etc. For 2Mbit data rate in 3G room, wiFi has absolute advantage, it adopts 802.11b standard at present, theoretical data rate can reach 11Mbit, actual physical layer data rate supports 1, 2, 5.5, 11Mbit and is adjustable, coverage range is from 100-300m. With the establishment and perfection of technologies and protocol standards such as 802.11g/a, 802.16e, 802.11i, wiMAX and the like and the rapid response capability of WiFi alliance to markets, wiFi is entering a rapid development stage. Among them, as a follow-up standard 802.16 (WiMAX Worldwide Interoperability for Microwave Access global interoperability for microwave access) developed by 802.11b, approval has been formally obtained in 1 st 2003, and although it adopts a different frequency band (10-66 GHz) from 802.11b, as a Wireless Metropolitan Area Network (WMAN) technology, he can complement with 802.11b/g/a wireless access hotspots to construct a broadband wireless technology that completely covers metropolitan area. WiFi/WiMAX is used as a wireless extension technology of Cable and DSL, the mobility and flexibility of the WiFi/WiMAX provide real wireless broadband access service for mobile users, and the extension of the bandwidth characteristics and QoS service quality of the traditional broadband access technology is realized.
For WiFi technology, roaming, handover, security, interference, etc. are important points to be considered when operators networking. With the improvement of the capacity and the transmission rate of the backbone transmission network, the broadband quick access of a user cannot be influenced no matter a plane or a two-layer architecture is adopted; with the perfection of IAPP and MobileIP technology and the development of IPv6, the roaming and switching problems can be solved finally; the generation of the 802.11i standard provides more security policies including WPA2, multimedia authentication and the like; the continuously mature networking scheme and the interference pre-detection mechanism can reduce the interference brought by the development of frequency resources.
The automobile searching system based on the modified image processing is used for solving the technical problem of difficult high-altitude investigation of automobile types in the prior art, the high-altitude image acquisition mechanism and the image processing mechanism are modified, and the self-adaptive adjustment of the amplitude of the edge enhancement processing can be performed based on the feedback condition of the previous shot image, so that the usability and consistency of the acquired image data are ensured, background pixel points are selected for image brightness analysis, the judgment mode of jump pixel points and the image fitting processing are adopted, and more importantly, the real-time navigation position of the tracked automobile is determined through the analysis of the preset automobile type of the tracked automobile, so that the tracked automobile is effectively tracked.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, such as the division of the units, is merely a logical function division, and may be implemented in another manner, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The present application is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present application are intended to be included in the scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.
Claims (10)
1. An automotive search system, said system comprising:
the vehicle type analysis equipment is arranged on the helicopter and is used for acquiring a plurality of automobile areas and high-definition photographed images corresponding to the automobile areas, and carrying out vehicle type identification on each automobile area so as to acquire vehicle type information corresponding to each automobile area; in the vehicle type analysis equipment, searching a plurality of vehicle type information corresponding to the plurality of vehicle areas respectively based on preset vehicle type information, and outputting the vehicle area corresponding to the searched vehicle type information as a vehicle target area; and
the first data statistics device is connected with the real-time shooting device of the helicopter and is used for receiving multi-frame high-definition shooting images in a preset time interval, and executing the following processing on each frame of high-definition shooting image: selecting a curve which bypasses the maximum target contour shape in the high-definition aerial image as a target curve based on the shape of the maximum target contour in the high-definition aerial image, taking each pixel point which passes through the target curve in the high-definition aerial image as a reference pixel point, multiplying a red component of each reference pixel point and a blue component of the reference pixel point to obtain a component product value of the reference pixel point, taking a square value of a green component of the reference pixel point to obtain a component square value of the reference pixel point, and dividing the component square value by the component product value to obtain statistic data of the reference pixel point; on the basis of unified judgment of multi-frame image data, selecting background pixel points for image brightness analysis, and selecting a curve bypassing the maximum target contour shape in the high-definition aerial image as a target curve of the selected pixel points;
under the condition of difficult high-altitude investigation of the type of the automobile, the self-adaptive adjustment of the amplitude of the edge enhancement processing is carried out based on the feedback condition of the previous shot image, the background pixel point is selected for image brightness analysis, the judgment mode of the jump pixel point and the image fitting processing are adopted, and the real-time navigation position of the tracked automobile is determined through the analysis of the preset automobile type of the tracked automobile.
2. The system of claim 1, wherein the preset vehicle type information is a vehicle type of the tracked vehicle.
3. The system of claim 1, wherein the system further comprises:
the Beidou navigation device is arranged on the helicopter and used for acquiring and outputting the current navigation position of the helicopter.
4. A system according to claim 3, characterized in that the system further comprises:
the height measuring instrument is arranged on the helicopter and is used for acquiring and outputting the real-time height corresponding to the current flight position of the helicopter.
5. The system of claim 4, wherein the system further comprises:
the shooting information acquisition equipment is respectively connected with the vehicle type analysis equipment, the Beidou navigation equipment and the height measuring instrument and is used for receiving the current navigation position, the real-time height and the automobile target area;
the shooting information acquisition device further determines the real-time navigation position of the tracked automobile based on the current navigation position, the real-time altitude and the relative positions of the high-definition shooting images of the automobile target area corresponding to the automobile areas.
6. The system of claim 5, wherein the system further comprises:
and the forbidden alarm device is connected with the shooting information acquisition device and is used for sending out forbidden alarm signals when the real-time navigation position of the tracked automobile is a preset forbidden area, wherein the preset forbidden area is one or more areas.
7. The system according to any one of claims 1 to 6, further comprising:
the second data statistics device is connected with the first data statistics device, and is used for receiving the statistics data of each reference pixel point of the multi-frame high-definition machine shot image, outputting the numerical value with the largest occurrence frequency in the statistics data of each pixel point of the multi-frame high-definition machine shot image as a frequency processing result, comparing the frequency processing result with a reference limit, sending out a brightness shortage signal when the frequency processing result is smaller than the reference limit, and sending out a brightness sufficiency signal when the frequency processing result is larger than or equal to the reference limit.
8. The system of claim 7, wherein the system further comprises:
the data adjusting device is respectively connected with the real-time beat device and the second data statistics device, and is used for receiving the frequency processing result, keeping the reference edge enhancement value unchanged to be output as an adjusting edge enhancement value when the enough brightness signal is received, and adjusting the reference edge enhancement value to be output as an adjusting edge enhancement value when the insufficient brightness signal is received based on the frequency processing result, wherein the smaller the frequency processing result is, the larger the adjusting edge enhancement value is;
the sub-image segmentation device is connected with the edge enhancement device and is used for receiving an edge enhancement image, determining whether each pixel point in the edge enhancement image is a jump pixel point or not based on the jump degree of the pixel value from each pixel point to surrounding pixel points, and outputting an image formed by all jump pixel points in the edge enhancement image as a sub-image to be fitted;
the fitting processing equipment is connected with the sub-image segmentation equipment and is used for receiving the sub-images to be fitted and executing image fitting processing on the sub-images to be fitted so as to obtain fitted images to be output as sub-images to be analyzed; and
the target detection device is connected with the fitting processing device and is used for receiving the sub-images to be analyzed and identifying a plurality of automobile areas from the sub-images to be analyzed.
9. The system of claim 1, wherein the system further comprises:
and the timing device is connected with the first data statistics device and is used for providing timing operation for the first data statistics device.
10. The system of claim 7, wherein the system further comprises:
and the SD memory card is respectively connected with the first data statistics equipment and the second data statistics equipment and is used for storing the preset time interval and the reference limit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910094056.0A CN109902591B (en) | 2018-03-13 | 2018-03-13 | Automobile searching system |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810203591.0A CN108537125B (en) | 2018-03-13 | 2018-03-13 | Automobile search system based on amendment type image procossing |
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| CN108537125B (en) | 2019-02-12 |
| CN108537125A (en) | 2018-09-14 |
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