WO2018223452A1 - 基于危险行为检测的警灯控制系统 - Google Patents

基于危险行为检测的警灯控制系统 Download PDF

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Publication number
WO2018223452A1
WO2018223452A1 PCT/CN2017/091145 CN2017091145W WO2018223452A1 WO 2018223452 A1 WO2018223452 A1 WO 2018223452A1 CN 2017091145 W CN2017091145 W CN 2017091145W WO 2018223452 A1 WO2018223452 A1 WO 2018223452A1
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Prior art keywords
signal
target
filtering
switching signal
image
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PCT/CN2017/091145
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English (en)
French (fr)
Inventor
张善琴
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余姚德诚科技咨询有限公司
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Priority to US16/065,970 priority Critical patent/US11419196B2/en
Publication of WO2018223452A1 publication Critical patent/WO2018223452A1/zh

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
    • B60Q1/26—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to indicate the vehicle, or parts thereof, or to give signals, to other traffic
    • B60Q1/2611—Indicating devices mounted on the roof of the vehicle
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
    • B60Q1/26—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to indicate the vehicle, or parts thereof, or to give signals, to other traffic
    • B60Q1/50—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to indicate the vehicle, or parts thereof, or to give signals, to other traffic for indicating other intentions or conditions, e.g. request for waiting or overtaking
    • B60Q1/52—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to indicate the vehicle, or parts thereof, or to give signals, to other traffic for indicating other intentions or conditions, e.g. request for waiting or overtaking for indicating emergencies
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21—LIGHTING
    • F21S—NON-PORTABLE LIGHTING DEVICES; SYSTEMS THEREOF; VEHICLE LIGHTING DEVICES SPECIALLY ADAPTED FOR VEHICLE EXTERIORS
    • F21S10/00—Lighting devices or systems producing a varying lighting effect
    • F21S10/02—Lighting devices or systems producing a varying lighting effect changing colors
    • F21S10/023—Lighting devices or systems producing a varying lighting effect changing colors by selectively switching fixed light sources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/10—Image enhancement or restoration by non-spatial domain filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • 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
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/105—Controlling the light source in response to determined parameters
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/105—Controlling the light source in response to determined parameters
    • H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
    • H05B47/12—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings by detecting audible sound
    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/105—Controlling the light source in response to determined parameters
    • H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
    • H05B47/125—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings by using cameras
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21—LIGHTING
    • F21W—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES F21K, F21L, F21S and F21V, RELATING TO USES OR APPLICATIONS OF LIGHTING DEVICES OR SYSTEMS
    • F21W2107/00—Use or application of lighting devices on or in particular types of vehicles
    • F21W2107/10—Use or application of lighting devices on or in particular types of vehicles for land vehicles
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21—LIGHTING
    • F21Y—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES F21K, F21L, F21S and F21V, RELATING TO THE FORM OR THE KIND OF THE LIGHT SOURCES OR OF THE COLOUR OF THE LIGHT EMITTED
    • F21Y2113/00—Combination of light sources
    • F21Y2113/10—Combination of light sources of different colours
    • F21Y2113/13—Combination of light sources of different colours comprising an assembly of point-like light sources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20024—Filtering details
    • G06T2207/20032—Median filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30248—Vehicle exterior or interior
    • G06T2207/30252—Vehicle exterior; Vicinity of vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/44—Event detection

Definitions

  • the invention relates to the field of vehicle warning lights, in particular to a warning light control system based on dangerous behavior detection.
  • Warning lights serve as a warning reminder, generally used to maintain road safety, effectively reduce the occurrence of traffic safety accidents, and also prevent potential unsafe hidden dangers. Under normal circumstances, police lights are usually used in police cars, engineering vehicles, fire trucks, ambulances, maintenance management vehicles, road maintenance vehicles, tractors, emergency A/S vehicles, machinery and equipment.
  • the warning lights are available in a variety of lengths depending on the type of vehicle and the use. There is a combination of lampshades and a combination of shades in one direction.
  • the warning lights can also be divided into: bulb turn lamp, LED flash, xenon lamp strobe according to the different forms of light source, wherein the LED flash form is an upgraded version of the bulb turn lamp form, longer service life and more energy saving. Lower heat.
  • the switch control of the existing warning lights still needs manual operation to complete, and it is impossible to automatically complete the switch control of the warning lights based on the detection of dangerous behaviors during the patrol of the police car carrying the warning lights, thereby failing to reduce the burden on the police personnel. .
  • the present invention provides a warning light control system based on dangerous behavior detection, which is used for receiving a street view image, and performs various image processing on the street view image to match the contours of various reference dangerous behaviors one by one, and the matching is successful. And outputting a dangerous behavior signal, automatically starting the illumination of the plurality of red LEDs and the illumination of the plurality of blue LEDs.
  • a warning light control system based on dangerous behavior detection includes a plurality of red light emitting diodes, a plurality of blue light emitting diodes, a control element, a circuit board, and a lamp cover, and the plurality of red light emitting diodes and the plurality of blue light emitting diodes are disposed on the circuit board One end, the control element is disposed at another end of the circuit board, and the lamp cover is disposed on the plurality of red light emitting diodes, the plurality of blue light emitting diodes, the control component, and the circuit board
  • the lamp cover includes a lens for uniformly emitting light concentratedly, and the lamp cover is fixed on the top of the police car; wherein the number of the plurality of red light emitting diodes is equal to the number of the plurality of blue light emitting diodes.
  • the method further includes: an MMC storage device, configured to pre-store various reference risk behavior profile, preset mean square error threshold, and preset signal to noise ratio threshold.
  • the method further includes: a gun type image capturing device, configured to capture a street scene where the police car is located, to obtain and output a corresponding street view image;
  • the signal analysis device is connected to the gun-type imaging device for receiving a street view image, and determining a mean square error of the pixel value of the street view image based on the pixel value of each pixel of the street view image as the target mean square error output.
  • the method further includes: a noise analysis device, configured to receive a street view image, perform noise analysis on the street view image, to obtain a main noise signal and noise with the largest noise amplitude.
  • the sub-noise signal having the second largest amplitude determines the signal-to-noise ratio of the street view image based on the main noise signal, the sub-noise signal, and the street view image as the target signal-to-noise ratio output.
  • the method further includes: a filter switching device respectively connected to the signal analysis device and the noise analysis device, configured to receive the target mean square error and the target signal to noise ratio, and When the target SNR is less than or equal to the preset SNR threshold and the target mean square difference is greater than or equal to the preset mean square error threshold, the first switching signal is sent, and the target SNR is less than or equal to the preset SNR threshold and the target mean square error is greater than the pre- When the mean square error threshold is set, the second switching signal is sent, and when the target signal to noise ratio is greater than the preset signal to noise ratio threshold and the target mean square difference is greater than or equal to the preset mean square error threshold, the third switching signal is sent, and the target signal to noise ratio is greater than When the preset signal to noise ratio threshold and the target mean square error are less than the preset mean square error threshold, the fourth switching signal is sent;
  • the Kalman filtering device is connected to the filtering switching device, and is configured to perform Kalman filtering processing on the street view image to obtain the target filtered image when the fourth switching signal is received; adaptive wavelet filtering
  • the wave device is connected to the filter switching device, and is configured to perform adaptive wavelet filtering on the street view image to obtain a wavelet filtered image when the first switching signal is received, and send the wavelet filtered image to the adaptive median filtering device; And configured to perform adaptive wavelet filtering processing on the street view image to directly obtain the target filtered image when the third switching signal is received;
  • the adaptive median filtering device is connected to the filtering switching device, and is configured to receive the wavelet filtering image from the adaptive wavelet filtering device when receiving the first switching signal, and perform adaptive median filtering processing on the wavelet filtering image to obtain the target. Filtering the image; and further, when receiving the second switching signal, performing adaptive median filtering processing on the street view image to directly obtain the target filtered image;
  • the target recognition device is respectively connected with the Kalman filter device, the adaptive wavelet filter device and the adaptive median filter device, and is configured to receive the target filtered image, and match the target filtered image with various reference dangerous behavior profiles one by one, and the matching is successful. , the output has a dangerous behavior signal, and if all the matches fail, the non-hazardous behavior signal is output;
  • the control element automatically activates the illumination of the plurality of red LEDs and the illumination of the plurality of blue LEDs upon receiving the presence of the hazardous behavior signal
  • the adaptive median filtering process performed by the adaptive median filtering device includes: for each pixel of the received image, using various filtering windows to acquire the corresponding pixel blocks centering on the pixel. Determining the variance of the gray value in each pixel block, selecting the corresponding filtering window with the smallest variance of the gray value as the target filtering window, performing median filtering on the pixel value of the pixel to obtain the filtered pixel value, based on the received image.
  • the filtered pixel values of all the pixels acquire the filtered image output by the adaptive median filtering device;
  • the adaptive wavelet filtering process performed by the adaptive wavelet filtering device comprises: performing wavelet decomposition on the received image to obtain four sub-bands of LL, LH, HL and HH, determining an average value of the HH sub-band, and calculating wavelet shrinkage based on the mean value.
  • the Kalman filter device enters the working mode from the power saving mode when receiving the fourth switching signal
  • the adaptive wavelet filtering device enters the working mode from the power saving mode when receiving the first switching signal or the third switching signal.
  • the adaptive median filtering device enters the working mode from the power saving mode when receiving the first switching signal or the second switching signal.
  • the adaptive wavelet filtering device enters the power saving mode from the working mode when receiving the second switching signal or the fourth switching signal mode.
  • the adaptive median filtering device enters the power saving mode from the working mode when receiving the third switching signal or the fourth switching signal.
  • the Kalman filtering device when receiving the first switching signal, the second switching signal or the third switching signal, the Kalman filtering device enters the power saving mode from the working mode.
  • the method further includes: a user input device, configured to manually turn on the illumination of the plurality of red LEDs and the plurality of blues under operation of a user The illumination of the color LEDs, or the illumination of the plurality of red LEDs and the illumination of the plurality of blue LEDs are manually turned off.
  • FIG. 1 is a block diagram showing the structure of a warning light control system based on dangerous behavior detection according to an embodiment of the present invention.
  • the warning lights are widely used in various special places as warning signs, and are also suitable for municipal, construction and monitoring, ambulance, and rescue personnel for signal communication and orientation indication.
  • the warning lights are mainly used when police vehicles are used for police. They are used to remind passing vehicles and pedestrians to dodge, and they have a deterrent effect on the arrested criminals, as well as giving the people a sense of security and avoiding impending illegal acts. Behavior is generated.
  • the current switch control of the police lights is still implemented by manual buttons. It relies too much on the manual operation of police officers and cannot automatically switch according to the specific conditions of the street scene.
  • the present invention constructs a police light control system based on dangerous behavior detection.
  • FIG. 1 is a block diagram showing the structure of a warning light control system based on dangerous behavior detection according to an embodiment of the present invention, which includes a plurality of red light emitting diodes, a plurality of blue light emitting diodes, a control element, a circuit board, and a lampshade.
  • a plurality of red light emitting diodes and the plurality of blue light emitting diodes are disposed at one end of the circuit board, the control element is disposed at another end of the circuit board, and the light cover is disposed on the plurality of red light emitting a diode, the plurality of blue light emitting diodes, the control element, and the circuit board, the lamp cover including a lens for uniformly emitting light out, the lamp cover being fixed on the top of the police car;
  • the number of the plurality of red light emitting diodes is equal to the number of the plurality of blue light emitting diodes.
  • the warning light control system based on the risk behavior detection may further include: an MMC storage device, configured to pre-store various reference risk behavior profile, a preset mean square error threshold, and a preset signal to noise ratio threshold.
  • the warning light control system based on the risk behavior detection may further include: a gun type image capturing device, configured to capture a street scene where the police car is located, to obtain and output a corresponding street view image;
  • the signal analysis device is connected to the gun-type imaging device for receiving a street view image, and determining a mean square error of the pixel value of the street view image based on the pixel value of each pixel of the street view image as the target mean square error output.
  • the warning light control system based on the risk behavior detection may further include: a noise analysis device, configured to receive a street view image, perform noise analysis on the street view image, to obtain a main noise signal with the largest noise amplitude, and a noise amplitude second largest.
  • the secondary noise signal determines the signal to noise ratio of the street view image based on the primary noise signal, the secondary noise signal, and the street view image to output as the target signal to noise ratio.
  • the warning light control system based on the dangerous behavior detection may further include: a filter switching device respectively connected to the signal analysis device and the noise analysis device, configured to receive the target mean square error and the target signal to noise ratio, and at the target signal to noise ratio
  • a filter switching device respectively connected to the signal analysis device and the noise analysis device, configured to receive the target mean square error and the target signal to noise ratio, and at the target signal to noise ratio
  • the target signal to noise ratio threshold is less than or equal to and the target mean square error is greater than or equal to the preset mean square error threshold
  • the first switching signal is sent, and the target signal to noise ratio is less than or equal to the preset signal to noise ratio threshold and the target mean square error is greater than the preset mean square error threshold.
  • the third switching signal is sent, and the target signal to noise ratio is greater than the preset signal to noise ratio.
  • the fourth switching signal is sent;
  • the Kalman filtering device is connected to the filtering switching device, and is configured to perform Kalman filtering processing on the street view image to obtain the target filtered image when the fourth switching signal is received;
  • the adaptive wavelet filtering device is connected with the filtering switching device, and is configured to perform adaptive wavelet filtering processing on the Street View image to obtain a wavelet filtering image when the first switching signal is received, and send the wavelet filtering image to the adaptive median filtering.
  • the device is further configured to perform adaptive wavelet filtering processing on the street view image to directly obtain the target filtered image when the third switching signal is received;
  • the adaptive median filtering device is connected to the filtering switching device, and is configured to receive the wavelet filtering image from the adaptive wavelet filtering device when receiving the first switching signal, and perform adaptive median filtering processing on the wavelet filtering image to obtain the target. Filtering the image; and further, when receiving the second switching signal, performing adaptive median filtering processing on the street view image to directly obtain the target filtered image;
  • the target recognition device is respectively connected with the Kalman filter device, the adaptive wavelet filter device and the adaptive median filter device, and is configured to receive the target filtered image, and match the target filtered image with various reference dangerous behavior profiles one by one, and the matching is successful. , the output has a dangerous behavior signal, and if all the matches fail, the non-hazardous behavior signal is output;
  • the control element automatically activates the illumination of the plurality of red LEDs and the illumination of the plurality of blue LEDs upon receiving the presence of the hazardous behavior signal
  • the adaptive median filtering process performed by the adaptive median filtering device includes: for each pixel of the received image, using various filtering windows to acquire the corresponding pixel blocks centering on the pixel. Determining the variance of the gray value in each pixel block, selecting the corresponding filtering window with the smallest variance of the gray value as the target filtering window, performing median filtering on the pixel value of the pixel to obtain the filtered pixel value, based on the received image.
  • the filtered pixel values of all the pixels acquire the filtered image output by the adaptive median filtering device;
  • the adaptive wavelet filtering process performed by the adaptive wavelet filtering device comprises: performing wavelet decomposition on the received image to obtain four sub-bands of LL, LH, HL and HH, determining an average value of the HH sub-band, and calculating wavelet shrinkage based on the mean value.
  • the Kalman filter device enters the working mode from the power saving mode when receiving the fourth switching signal
  • the adaptive wavelet filtering device enters the working mode from the power saving mode when receiving the first switching signal or the third switching signal.
  • the adaptive median filtering device enters the working mode from the power saving mode when receiving the first switching signal or the second switching signal.
  • the adaptive wavelet filtering device enters the power saving mode from the working mode when receiving the second switching signal or the fourth switching signal.
  • the adaptive median filtering device enters the power saving mode from the working mode when receiving the third switching signal or the fourth switching signal.
  • the Kalman filtering device when receiving the first switching signal, the second switching signal or the third switching signal, the Kalman filtering device enters the power saving mode from the working mode.
  • the user input device is configured to manually turn on the illumination of the plurality of red LEDs and the illumination of the plurality of blue LEDs under the operation of the user. Or manually turning off the illumination of the plurality of red LEDs and the illumination of the plurality of blue LEDs.
  • the median filter has a good filtering effect on the impulse noise, especially when filtering the noise, the edge of the signal can be protected from being blurred. These excellent characteristics are not available in linear filtering methods.
  • the median filtering algorithm is relatively simple and easy to implement in hardware. Therefore, once the median filtering method is proposed, it will be used in digital signal processing.
  • Median filtering is a nonlinear signal processing technique based on the theory of sorting statistics that can effectively suppress noise.
  • the basic principle of median filtering is to use the value of a point in a digital image or a sequence of numbers in a neighborhood value of the point. The median value is substituted so that the surrounding pixel values are close to the true value, thus eliminating isolated noise points.
  • the method uses a two-dimensional sliding template of a certain structure to sort the pixels in the panel according to the size of the pixel value, and generates a monotonically rising (or falling) two-dimensional data sequence.
  • W is a two-dimensional template, usually 3*3, 5*5 area, or different shapes, such as a line, a circle, a cross, a ring, and the like.
  • the warning light control system based on the dangerous behavior detection of the invention is used for the technical problem that the warning light switch control cannot be automated in the prior art, and the street scene image is collected and processed with high precision to identify the dangerous behavior in the street scene, based on The identified dangerous behavior is automatically turned on by automatically detecting the respective illuminating light sources of the warning light.

Abstract

一种基于危险行为检测的警灯控制系统，包括多个红色发光二极管（1）、多个蓝色发光二极管（2）、控制元件（3）、电路板（4）和灯罩（5），多个红色发光二极管（1）和多个蓝色发光二极管（2）设置在电路板（4）的一端，控制元件（3）设置在电路板（4）的另一端，灯罩（5）盖置在多个红色发光二极管（1）、多个蓝色发光二极管（2）、控制元件（3）以及电路板（4）之上，灯罩（5）包括透镜，用于将光线集中均匀发射出去，灯罩（5）被固定在警车顶部；其中，多个红色发光二极管（1）的数量与多个蓝色发光二极管（2）的数量相等。基于危险行为检测的警灯控制系统，能够对危险行为起到有效的震慑作用。

Description

基于危险行为检测的警灯控制系统 技术领域
本发明涉及车用警灯领域，尤其涉及一种基于危险行为检测的警灯控制系统。
背景技术
警灯，顾名思义，起着警示提醒的作用，一般是用来维护道路安全，有效的减少交通安全事故的发生，还可以预防潜在的不安全隐患。一般情况下警灯通常都用在警车、工程车、消防车、急救车、防范管理车、道路维修车、牵引车、紧急A/S车、机械设备等开发。
一般情况下，警灯是按车种和用处可以提供多样的长度的产品的，有灯罩组合的构造，需要时一边方向的灯罩可以组合复合颜色。此外，警灯还可以根据光源形式的不同，分为：灯泡转灯、LED闪光、氙气灯管频闪，其中LED闪光形式的是灯泡转灯形式的升级版，使用寿命更长，更节能，更低热。
但是，现有的警灯的开关控制仍需要人工操作来完成，无法在载有警灯的警车巡逻过程中基于危险行为的检测来自动完成警灯的开关控制，从而无法减轻警务人员的负担。
发明内容
为了解决上述问题，本发明提供了一种基于危险行为检测的警灯控制系统，用于接收街景图像，将街景图像进行各种图像处理后与各种基准危险行为外形轮廓进行逐一匹配，匹配成功，则输出存在危险行为信号，自动启动所述多个红色发光二极管的发光和所述多个蓝色发光二极管的发光。
根据本发明的一方面，提供了一种基于危险行为检测的警灯控制系 统，所述系统包括多个红色发光二极管、多个蓝色发光二极管、控制元件、电路板和灯罩，所述多个红色发光二极管和所述多个蓝色发光二极管设置在所述电路板的一端，所述控制元件设置在所述电路板的另一端，所述灯罩盖置在所述多个红色发光二极管、所述多个蓝色发光二极管、所述控制元件以及所述电路板之上，所述灯罩包括透镜，用于将光线集中均匀发射出去，所述灯罩被固定在警车顶部；其中，所述多个红色发光二极管的数量与所述多个蓝色发光二极管的数量相等。
更具体地，在所述基于危险行为检测的警灯控制系统中，还包括：MMC存储设备，用于预先存储各种基准危险行为外形轮廓、预设均方差阈值以及预设信噪比阈值。
更具体地，在所述基于危险行为检测的警灯控制系统中，还包括：枪式摄像设备，用于对警车所在的街景进行拍摄，以获得并输出相应的街景图像；
信号分析设备，与所述枪式摄像设备连接，用于接收街景图像，基于街景图像的各个像素点的像素值确定街景图像像素值的均方差以作为目标均方差输出。
更具体地，在所述基于危险行为检测的警灯控制系统中，还包括：噪声分析设备，用于接收街景图像，对街景图像进行噪声分析，以获得噪声幅值最大的主噪声信号和噪声幅值次大的次噪声信号，基于主噪声信号、次噪声信号以及街景图像确定街景图像的信噪比以作为目标信噪比输出。
更具体地，在所述基于危险行为检测的警灯控制系统中，还包括：滤波切换设备，分别与信号分析设备以及噪声分析设备连接，用于接收目标均方差和目标信噪比，并在目标信噪比小于等于预设信噪比阈值且目标均方差大于等于预设均方差阈值时，发出第一切换信号，在目标信噪比小于等于预设信噪比阈值且目标均方差大于预设均方差阈值时，发出第二切换信号，在目标信噪比大于预设信噪比阈值且目标均方差大于等于预设均方差阈值时，发出第三切换信号，还在目标信噪比大于预设信噪比阈值且目标均方差小于预设均方差阈值时，发出第四切换信号；
卡尔曼滤波设备，与滤波切换设备连接，用于在接收到第四切换信号时，对街景图像进行卡尔曼滤波处理以获得目标滤波图像；自适应小波滤 波设备，与滤波切换设备连接，用于在接收到第一切换信号时，对街景图像进行自适应小波滤波处理以获得小波滤波图像，并将小波滤波图像发送给自适应中值滤波设备；还用于在接收到第三切换信号时，对街景图像进行自适应小波滤波处理以直接获得目标滤波图像；
自适应中值滤波设备，与滤波切换设备连接，用于在接收到第一切换信号时，从自适应小波滤波设备处接收小波滤波图像，对小波滤波图像进行自适应中值滤波处理以获得目标滤波图像；还用于在接收到第二切换信号时，对街景图像进行自适应中值滤波处理以直接获得目标滤波图像；
目标识别设备，与卡尔曼滤波设备、自适应小波滤波设备和自适应中值滤波设备分别连接，用于接收目标滤波图像，将目标滤波图像与各种基准危险行为外形轮廓进行逐一匹配，匹配成功，则输出存在危险行为信号，全部匹配失败，则输出无危险行为信号；
其中，所述控制元件在接收到所述存在危险行为信号时，自动启动所述多个红色发光二极管的发光和所述多个蓝色发光二极管的发光；
其中，自适应中值滤波设备执行的自适应中值滤波处理包括：针对接收到的图像的每一个像素，采用各种滤波窗口对该像素以该像素为中心进行对应的各种像素块的获取，确定每一种像素块中的灰度值方差，选择灰度值方差最小的对应滤波窗口作为目标滤波窗口对该像素的像素值进行中值滤波以获得其滤波像素值，基于接收到的图像的所有像素的滤波像素值获取自适应中值滤波设备输出的滤波图像；
其中，自适应小波滤波设备执行的自适应小波滤波处理包括：对接收到的图像进行小波分解以获得LL、LH、HL和HH四个子带，确定HH子带的均值，基于该均值计算小波收缩的最优阈值，基于小波收缩的最优阈值进行图像的小波重构以获取自适应小波滤波设备输出的滤波图像；
其中，卡尔曼滤波设备在接收到第四切换信号时，从省电模式进入工作模式，自适应小波滤波设备在接收到第一切换信号或第三切换信号时，从省电模式进入工作模式，自适应中值滤波设备在接收到第一切换信号或第二切换信号时，从省电模式进入工作模式。
更具体地，在所述基于危险行为检测的警灯控制系统中：自适应小波滤波设备在接收到第二切换信号或第四切换信号时，从工作模式进入省电 模式。
更具体地，在所述基于危险行为检测的警灯控制系统中：自适应中值滤波设备在接收到第三切换信号或第四切换信号时，从工作模式进入省电模式。
更具体地，在所述基于危险行为检测的警灯控制系统中：卡尔曼滤波设备在接收到第一切换信号、第二切换信号或第三切换信号时，从工作模式进入省电模式。
更具体地，在所述基于危险行为检测的警灯控制系统中，还包括：用户输入设备，用于在用户的操作下，手动开启所述多个红色发光二极管的发光和所述多个蓝色发光二极管的发光，或者手动关闭所述多个红色发光二极管的发光和所述多个蓝色发光二极管的发光。
附图说明
以下将结合附图对本发明的实施方案进行描述，其中：
图1为根据本发明实施方案示出的基于危险行为检测的警灯控制系统的结构方框图。
附图标记：1多个红色发光二极管；2多个蓝色发光二极管；3控制元件；4电路板；5灯罩
具体实施方式
下面将参照附图对本发明的基于危险行为检测的警灯控制系统的实施方案进行详细说明。
警灯广泛适用于各种特殊场所作警示标志，也适合于市政、施工作业和监护、救护、抢险工作人员作信号联络和方位指示之用。一般意义上的警灯，主要用于警务用车出警时使用，用于提醒过路车辆和行人闪避，并对抓捕的犯罪份子起到震慑作用，以及给群众安全感，避免即将发生的不法行为产生。
当前的警灯的开关控制仍旧通过人工按钮来实现，过于依赖警务人员的人工操作，无法根据街景的具体情况进行自动开关。为了克服上述不足，本发明搭建了一种基于危险行为检测的警灯控制系统。
图1为根据本发明实施方案示出的基于危险行为检测的警灯控制系统的结构方框图，所述系统包括多个红色发光二极管、多个蓝色发光二极管、控制元件、电路板和灯罩，所述多个红色发光二极管和所述多个蓝色发光二极管设置在所述电路板的一端，所述控制元件设置在所述电路板的另一端，所述灯罩盖置在所述多个红色发光二极管、所述多个蓝色发光二极管、所述控制元件以及所述电路板之上，所述灯罩包括透镜，用于将光线集中均匀发射出去，所述灯罩被固定在警车顶部；其中，所述多个红色发光二极管的数量与所述多个蓝色发光二极管的数量相等。
接着，继续对本发明的基于危险行为检测的警灯控制系统的具体结构进行进一步的说明。
在所述基于危险行为检测的警灯控制系统中还可以包括：MMC存储设备，用于预先存储各种基准危险行为外形轮廓、预设均方差阈值以及预设信噪比阈值。
在所述基于危险行为检测的警灯控制系统中还可以包括：枪式摄像设备，用于对警车所在的街景进行拍摄，以获得并输出相应的街景图像；
信号分析设备，与所述枪式摄像设备连接，用于接收街景图像，基于街景图像的各个像素点的像素值确定街景图像像素值的均方差以作为目标均方差输出。
在所述基于危险行为检测的警灯控制系统中还可以包括：噪声分析设备，用于接收街景图像，对街景图像进行噪声分析，以获得噪声幅值最大的主噪声信号和噪声幅值次大的次噪声信号，基于主噪声信号、次噪声信号以及街景图像确定街景图像的信噪比以作为目标信噪比输出。
在所述基于危险行为检测的警灯控制系统中还可以包括：滤波切换设备，分别与信号分析设备以及噪声分析设备连接，用于接收目标均方差和目标信噪比，并在目标信噪比小于等于预设信噪比阈值且目标均方差大于等于预设均方差阈值时，发出第一切换信号，在目标信噪比小于等于预设信噪比阈值且目标均方差大于预设均方差阈值时，发出第二切换信号，在目标信噪比大于预设信噪比阈值且目标均方差大于等于预设均方差阈值时，发出第三切换信号，还在目标信噪比大于预设信噪比阈值且目标均方差小于预设均方差阈值时，发出第四切换信号；
卡尔曼滤波设备，与滤波切换设备连接，用于在接收到第四切换信号时，对街景图像进行卡尔曼滤波处理以获得目标滤波图像；
自适应小波滤波设备，与滤波切换设备连接，用于在接收到第一切换信号时，对街景图像进行自适应小波滤波处理以获得小波滤波图像，并将小波滤波图像发送给自适应中值滤波设备；还用于在接收到第三切换信号时，对街景图像进行自适应小波滤波处理以直接获得目标滤波图像；
自适应中值滤波设备，与滤波切换设备连接，用于在接收到第一切换信号时，从自适应小波滤波设备处接收小波滤波图像，对小波滤波图像进行自适应中值滤波处理以获得目标滤波图像；还用于在接收到第二切换信号时，对街景图像进行自适应中值滤波处理以直接获得目标滤波图像；
目标识别设备，与卡尔曼滤波设备、自适应小波滤波设备和自适应中值滤波设备分别连接，用于接收目标滤波图像，将目标滤波图像与各种基准危险行为外形轮廓进行逐一匹配，匹配成功，则输出存在危险行为信号，全部匹配失败，则输出无危险行为信号；
其中，所述控制元件在接收到所述存在危险行为信号时，自动启动所述多个红色发光二极管的发光和所述多个蓝色发光二极管的发光；
其中，自适应中值滤波设备执行的自适应中值滤波处理包括：针对接收到的图像的每一个像素，采用各种滤波窗口对该像素以该像素为中心进行对应的各种像素块的获取，确定每一种像素块中的灰度值方差，选择灰度值方差最小的对应滤波窗口作为目标滤波窗口对该像素的像素值进行中值滤波以获得其滤波像素值，基于接收到的图像的所有像素的滤波像素值获取自适应中值滤波设备输出的滤波图像；
其中，自适应小波滤波设备执行的自适应小波滤波处理包括：对接收到的图像进行小波分解以获得LL、LH、HL和HH四个子带，确定HH子带的均值，基于该均值计算小波收缩的最优阈值，基于小波收缩的最优阈值进行图像的小波重构以获取自适应小波滤波设备输出的滤波图像；
其中，卡尔曼滤波设备在接收到第四切换信号时，从省电模式进入工作模式，自适应小波滤波设备在接收到第一切换信号或第三切换信号时，从省电模式进入工作模式，自适应中值滤波设备在接收到第一切换信号或第二切换信号时，从省电模式进入工作模式。
另外，在所述基于危险行为检测的警灯控制系统中：自适应小波滤波设备在接收到第二切换信号或第四切换信号时，从工作模式进入省电模式。
另外，在所述基于危险行为检测的警灯控制系统中：自适应中值滤波设备在接收到第三切换信号或第四切换信号时，从工作模式进入省电模式。
另外，在所述基于危险行为检测的警灯控制系统中：卡尔曼滤波设备在接收到第一切换信号、第二切换信号或第三切换信号时，从工作模式进入省电模式。
另外，在所述基于危险行为检测的警灯控制系统中：用户输入设备，用于在用户的操作下，手动开启所述多个红色发光二极管的发光和所述多个蓝色发光二极管的发光，或者手动关闭所述多个红色发光二极管的发光和所述多个蓝色发光二极管的发光。
其中，中值滤波对脉冲噪声有良好的滤除作用，特别是在滤除噪声的同时，能够保护信号的边缘，使之不被模糊。这些优良特性是线性滤波方法所不具有的。此外，中值滤波的算法比较简单，也易于用硬件实现。所以，中值滤波方法一经提出后，便在数字信号处理领得到重要的应用。
中值滤波是基于排序统计理论的一种能有效抑制噪声的非线性信号处理技术，中值滤波的基本原理是把数字图像或数字序列中一点的值用该点的一个邻域中各点值的中值代替，让周围的像素值接近的真实值，从而消除孤立的噪声点。方法是用某种结构的二维滑动模板，将板内像素按照像素值的大小进行排序，生成单调上升(或下降)的为二维数据序列。二维中值滤波输出为g(x,y)＝med{f(x-k,y-l),(k,l∈W)}，其中，f(x,y)，g(x,y)分别为原始图像和处理后图像。W为二维模板，通常为3*3，5*5区域，也可以是不同的的形状，如线状，圆形，十字形，圆环形等。
采用本发明的基于危险行为检测的警灯控制系统，针对现有技术中警灯开关控制无法自动化的技术问题，通过对街景图像进行采集和高精度的处理，识别出街景中的危险行为，基于识别到的危险行为自动打开警灯的各个发光光源，从而解决了上述技术问题。
可以理解的是，虽然本发明已以较佳实施例披露如上，然而上述实施 例并非用以限定本发明。对于任何熟悉本领域的技术人员而言，在不脱离本发明技术方案范围情况下，都可利用上述揭示的技术内容对本发明技术方案做出许多可能的变动和修饰，或修改为等同变化的等效实施例。因此，凡是未脱离本发明技术方案的内容，依据本发明的技术实质对以上实施例所做的任何简单修改、等同变化及修饰，均仍属于本发明技术方案保护的范围内。

Claims (9)

  1. 一种基于危险行为检测的警灯控制系统，包括多个红色发光二极管、多个蓝色发光二极管、控制元件、电路板和灯罩，所述多个红色发光二极管和所述多个蓝色发光二极管设置在所述电路板的一端，所述控制元件设置在所述电路板的另一端，所述灯罩盖置在所述多个红色发光二极管、所述多个蓝色发光二极管、所述控制元件以及所述电路板之上，所述灯罩包括透镜，用于将光线集中均匀发射出去，所述灯罩被固定在警车顶部；其中，所述多个红色发光二极管的数量与所述多个蓝色发光二极管的数量相等。
  2. 如权利要求1所述的基于危险行为检测的警灯控制系统，其特征在于，还包括：
    MMC存储设备，用于预先存储各种基准危险行为外形轮廓、预设均方差阈值以及预设信噪比阈值。
  3. 如权利要求2所述的基于危险行为检测的警灯控制系统，其特征在于，还包括：
    枪式摄像设备，用于对警车所在的街景进行拍摄，以获得并输出相应的街景图像；
    信号分析设备，与所述枪式摄像设备连接，用于接收街景图像，基于街景图像的各个像素点的像素值确定街景图像像素值的均方差以作为目标均方差输出。
  4. 如权利要求3所述的基于危险行为检测的警灯控制系统，其特征在于，还包括：
    噪声分析设备，用于接收街景图像，对街景图像进行噪声分析，以获得噪声幅值最大的主噪声信号和噪声幅值次大的次噪声信号，基于主噪声信号、次噪声信号以及街景图像确定街景图像的信噪比以作为目标信噪比输出。
  5. 如权利要求4所述的基于危险行为检测的警灯控制系统，其特征在于，还包括：
    滤波切换设备，分别与信号分析设备以及噪声分析设备连接，用于接收目标均方差和目标信噪比，并在目标信噪比小于等于预设信噪比阈值且目标均方差大于等于预设均方差阈值时，发出第一切换信号，在目标信噪比小于等于预设信噪比阈值且目标均方差大于预设均方差阈值时，发出第二切换信号，在目标信噪比大于预设信噪比阈值且目标均方差大于等于预设均方差阈值时，发出第三切换信号，还在目标信噪比大于预设信噪比阈值且目标均方差小于预设均方差阈值时，发出第四切换信号；
    卡尔曼滤波设备，与滤波切换设备连接，用于在接收到第四切换信号时，对街景图像进行卡尔曼滤波处理以获得目标滤波图像；
    自适应小波滤波设备，与滤波切换设备连接，用于在接收到第一切换信号时，对街景图像进行自适应小波滤波处理以获得小波滤波图像，并将小波滤波图像发送给自适应中值滤波设备；还用于在接收到第三切换信号时，对街景图像进行自适应小波滤波处理以直接获得目标滤波图像；
    自适应中值滤波设备，与滤波切换设备连接，用于在接收到第一切换信号时，从自适应小波滤波设备处接收小波滤波图像，对小波滤波图像进行自适应中值滤波处理以获得目标滤波图像；还用于在接收到第二切换信号时，对街景图像进行自适应中值滤波处理以直接获得目标滤波图像；
    目标识别设备，与卡尔曼滤波设备、自适应小波滤波设备和自适应中值滤波设备分别连接，用于接收目标滤波图像，将目标滤波图像与各种基准危险行为外形轮廓进行逐一匹配，匹配成功，则输出存在危险行为信号，全部匹配失败，则输出无危险行为信号；
    其中，所述控制元件在接收到所述存在危险行为信号时，自动启动所述多个红色发光二极管的发光和所述多个蓝色发光二极管的发光；
    其中，自适应中值滤波设备执行的自适应中值滤波处理包括：针对接收到的图像的每一个像素，采用各种滤波窗口对该像素以该像素为中心进行对应的各种像素块的获取，确定每一种像素块中的灰度值方差，选择灰度值方差最小的对应滤波窗口作为目标滤波窗口对该像素的像素值进行 中值滤波以获得其滤波像素值，基于接收到的图像的所有像素的滤波像素值获取自适应中值滤波设备输出的滤波图像；
    其中，自适应小波滤波设备执行的自适应小波滤波处理包括：对接收到的图像进行小波分解以获得LL、LH、HL和HH四个子带，确定HH子带的均值，基于该均值计算小波收缩的最优阈值，基于小波收缩的最优阈值进行图像的小波重构以获取自适应小波滤波设备输出的滤波图像；
    其中，卡尔曼滤波设备在接收到第四切换信号时，从省电模式进入工作模式，自适应小波滤波设备在接收到第一切换信号或第三切换信号时，从省电模式进入工作模式，自适应中值滤波设备在接收到第一切换信号或第二切换信号时，从省电模式进入工作模式。
  6. 如权利要求5所述的基于危险行为检测的警灯控制系统，其特征在于：
    自适应小波滤波设备在接收到第二切换信号或第四切换信号时，从工作模式进入省电模式。
  7. 如权利要求6所述的基于危险行为检测的警灯控制系统，其特征在于：
    自适应中值滤波设备在接收到第三切换信号或第四切换信号时，从工作模式进入省电模式。
  8. 如权利要求7所述的基于危险行为检测的警灯控制系统，其特征在于：
    卡尔曼滤波设备在接收到第一切换信号、第二切换信号或第三切换信号时，从工作模式进入省电模式。
  9. 如权利要求8所述的基于危险行为检测的警灯控制系统，其特征在于，还包括：
    用户输入设备，用于在用户的操作下，手动开启所述多个红色发光二极管的发光和所述多个蓝色发光二极管的发光，或者手动关闭所述多个红 色发光二极管的发光和所述多个蓝色发光二极管的发光。
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