CN106205077A - Alarm system of quick discernment - Google Patents

Abstract

The invention provides an alarm system capable of fast identifying, which comprises an alarm system and an object identification device connected with the alarm system, wherein the object identification device identifies and tracks an object based on visual characteristics, and the object identification device comprises a suspected object acquisition module, a color information processing module, an outline information processing module and a characteristic evaluation module which are sequentially connected, wherein the color information processing module is used for converting an original frame image from an RGB color space to an HSV color space and constructing a hue color model of the suspected object in the HSV color space, the outline information processing module is used for carrying out region type division on a characteristic region and a non-characteristic region on an actual outline of the original frame image, merging adjacent same type regions, and selecting filters with different parameters to carry out smoothing treatment on the merged characteristic region and the non-characteristic region respectively. The invention has the advantages of high identification precision and high identification speed.

Description

A kind of warning system of quick identification

Technical field

The present invention relates to safety alarm field, be specifically related to the warning system of a kind of quick identification.

Background technology

In correlation technique, warning system use radar target be tracked in positioning precision and follow the tracks of in success rate Possess the biggest advantage, but be only difficult to clarification of objective be made a distinction, especially at target quilt from the range information that radar obtains Block with under multi-target condition, be difficulty with target effective recognition and tracking.Use the visual information (such as color, profile etc.) of target Portray target characteristic, target is identified following the tracks of based on target visual feature the effective way being to solve the problems referred to above.

Summary of the invention

For the problems referred to above, the present invention provides the warning system of a kind of quick identification.

The purpose of the present invention realizes by the following technical solutions:

A kind of warning system of quick identification, including warning system and the Target Identification Unit that is connected with warning system, its Feature is, described warning system includes:

Warning system fixed host computer, it is characterised in that described warning system also includes and is arranged on one or more monitoring The headend equipment of field, by the connected mode of wired or wireless communication between described headend equipment and warning system fixed host computer Phase data exchange realizes by the monitoring place at warning system fixed host computer monitoring headend equipment place mutually, and described warning system is solid Determine main frame be additionally provided with this warning system fixed host computer by communication match use removable hand-held control fill Put, the integrated electricity being provided with by warning system fixed host computer between warning system fixed host computer and removable hand-held control device Road module realizes data exchange thus whether is controlled the action of warning system fixed host computer by removable hand-held control device, described Warning system fixed host computer pass through reception device from be provided with integrated circuit modules to 110 or 119 command centres transmit before The spied out warning message of end equipment.

Preferably, described removable hand-held control device is to have display device and the instrument of ease of Use keyboard or hands Machine communication tool, it is connected by radio signal with warning system fixed host computer and can realize hand-held being controlled dress by removable Put and whether control the action of warning system fixed host computer.

Preferably, described headend equipment is Safety defence detector, or fire detector, or Safety defence detector and detection The complex detector that device integrally combines.

Preferably, described Target Identification Unit includes:

(1) Target Acquisition module is suspected, for identifying that in monitor video suspecting that target reading comprise suspects target Original hardwood image, it includes the infrared CCD being connected with field computer, and described infrared CCD is by defeated The picture signal gone out is input to field computer and is made whether to there is the differentiation process suspecting target；

(2) colouring information processing module, described original hardwood image is carried out from RGB color to hsv color space by it Conversion and build the described suspection target tonal color model in hsv color space, conversion formula is as follows:

$s=\left\{\begin{array}{cc}0& Max(r,g,b)=0\\ \frac{Max(r,g,b)-Min(r,g,b)}{Max(r,g,b)}& Max(r,g,b)\≠0\end{array}\right.$

V=Max (r, g, b)

Wherein, (r, g b) are the pixel RGB coordinate figure at RGB color of original hardwood image, virtual value model Enclose and be (0,1)；H is pixel form and aspect component in hsv color space, and s is saturated in hsv color space of pixel Degree component, v is pixel chrominance component in hsv color space；

Tonal color model is as follows:

$Q_{hue}=\{Q_{hue}\left(w\right),w=1,\mathrm{...}n;\underset{w=1}{\overset{n}{\Σ}}{Q}_{hue}\left(w\right)b_w=1\}$

Herein

$Q_{hue}\left(w\right)=\frac{1}{\underset{i=1}{\overset{m}{\Σ}}{e}^{-\frac{\left|\right|x_i-x_c|{|}^2}{\sqrt{2}{h}^{\′}\mathrm{\σ}}}}\×\underset{i=1}{\overset{m}{\Σ}}\[e^{-\frac{\left|\right|x_i-x_c|{|}^2}{\sqrt{2}{h}^{\′}\mathrm{\σ}}}\×\mathrm{\δ}\[d\left(x_i\right)-w\]\]$

$h^{\&prime;}=\left\{\begin{array}{cc}h\&times;0.9+0.05& s\&times;v\&GreaterEqual;0.04\\ v\&times;0.1& s\&times;v<0.04,<0.2\\ v\&times;0.1-0.01& s\&times;v<0.04,0.2\&le;v<0.8\\ v\&times;0.1-0.05& s\&times;v<0.04,v\&GreaterEqual;0.8\end{array}\right.$

Wherein, function δ [d (x_i)-w] it is pixel x_iProjection in w sub spaces region, w is characterized the rope in space Draw, b_wFor the weight of each subspace,It is with pixel x_cCentered by kernel function in two dimensional image；

Preferably, described Target Identification Unit also includes:

(3) profile information processing module, for carrying out characteristic area and non-spy to the TP of described original hardwood image The area type levying region divides, merges adjacent same type area, and the wave filter choosing different parameters is combined After characteristic area be smoothed respectively with non-characteristic area, the selection area in described TP is judged as feature The decision condition in region is:

Herein

$f\left(t\right)=\left\{\begin{array}{cc}0& \left|{k^{\&prime;}}_N\left(t\right)\right|<T\&times;max\left|{k^{\&prime;}}_N\left(t\right)\right|\\ 1& \left|{k^{\&prime;}}_N\left(t\right)\right|\&GreaterEqual;T\&times;max\left|{k^{\&prime;}}_N\left(t\right)\right|\end{array}\right.$

Wherein, t represents the profile point of the TP of described original hardwood image, t₀It is positioned at described selection area for default Interior initial profile point, s is default development length, and the value of development length is that the edge contour point of selection area is to described initial The distance of profile point,The real-time curvature revising described development length s for being used at initial profile point is repaiied Positive coefficient,For the radius of curvature of initial profile point,For being obtained by the window function that width range is [3,5] preset The mean radius of curvature of profile starting point；F (t) is for judging whether profile point is characterized characteristic function a little, and f (t)=1 represents This profile point is characterized a little, and f (t)=0 represents that this profile point is non-characteristic point, N_{F (t)=1}The spy being had in representing selection area Levy number a little, N_yFor the number needing the characteristic point included as characteristic area set, k'_NT () is by described window function pair The TP curvature that TP carries out neighborhood averaging and obtains, max | k'_N(t) | represent the absolute value of TP curvature Maximum, T be the span of weights and T be [0.2,0.5]；

(4) feature evaluation module, for the target set in the colouring information processed and profile information and data base Feature is compared coupling calculate matching degree, described matching degree reach to judge during default matching threshold described suspection target as Follow the tracks of target and export result of determination；

Preferably, described profile information processing module includes the first wave filter being smoothed all characteristic areas With the second wave filter that all non-characteristic areas are smoothed, a length of institute of the confidence interval of described first wave filter Have 1/2 of minimum development length in characteristic area, a length of all non-characteristic areas of the confidence interval of described second wave filter 1/2 of minimum development length in territory；Curvature according to difference is different, development length correspondingly automatic adaptive change, has Effect reduces the distortion phenomenon after merging, it is simple to be more accurately identified target.

The invention have the benefit that

1, the mode using colouring information and profile information to combine describes tracking target, and the change of illumination has to external world The strongest robustness, it is to avoid target is described by use single features, improves the precision identified；

2, revised color space conversion formula more conforms to the visual effect of the mankind, it is possible to reflect more rich letter Breath, it is simple to realize quick recognition and tracking, introduces space weight in tonal color model and divides, repeatedly filter, make model more Science, practicality is higher；

3, profile information processing module is set, for the TP of described original hardwood image is carried out characteristic area with non- The area type of characteristic area divides, merges adjacent same type area, and the wave filter choosing different parameters is involutory Characteristic area after and is smoothed respectively with non-characteristic area, and amount of calculation is the most uncomplicated, smooth effective except making an uproar, it is considered to Profile diversity between dissimilar region, at suppression noise with retain and obtain good balance between details, according to The curvature of difference is different, development length correspondingly automatic adaptive change, effectively reduces the distortion phenomenon after merging, it is simple to More accurately target is identified.

Accompanying drawing explanation

The invention will be further described to utilize accompanying drawing, but the embodiment in accompanying drawing does not constitute any limit to the present invention System, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain according to the following drawings Other accompanying drawing.

Fig. 1 is the Target Identification Unit module connection diagram of the present invention.

Fig. 2 is the warning system connection diagram of the present invention.

Detailed description of the invention

The invention will be further described with the following Examples.

Embodiment 1

See Fig. 1, Fig. 2, the warning system of a kind of quick identification of the present embodiment, including warning system and with warning system phase Target Identification Unit even, is characterized in that, described warning system includes:

Warning system fixed host computer, it is characterised in that described warning system also includes and is arranged on one or more monitoring The headend equipment of field, by the connected mode of wired or wireless communication between described headend equipment and warning system fixed host computer Phase data exchange realizes by the monitoring place at warning system fixed host computer monitoring headend equipment place mutually, and described warning system is solid Determine main frame be additionally provided with this warning system fixed host computer by communication match use removable hand-held control fill Put, the integrated electricity being provided with by warning system fixed host computer between warning system fixed host computer and removable hand-held control device Road module realizes data exchange thus whether is controlled the action of warning system fixed host computer by removable hand-held control device, described Warning system fixed host computer pass through reception device from be provided with integrated circuit modules to 110 or 119 command centres transmit before The spied out warning message of end equipment.

Preferably, described removable hand-held control device is to have display device and the instrument of ease of Use keyboard or hands Machine communication tool, it is connected by radio signal with warning system fixed host computer and can realize hand-held being controlled dress by removable Put and whether control the action of warning system fixed host computer.

Preferably, described headend equipment is Safety defence detector, or fire detector, or Safety defence detector and detection The complex detector that device integrally combines.

Preferably, described Target Identification Unit includes:

(1) Target Acquisition module is suspected, for identifying that in monitor video suspecting that target reading comprise suspects target Original hardwood image, it includes the infrared CCD being connected with field computer, and described infrared CCD is by defeated The picture signal gone out is input to field computer and is made whether to there is the differentiation process suspecting target；

(2) colouring information processing module, described original hardwood image is carried out from RGB color to hsv color space by it Conversion and build the described suspection target tonal color model in hsv color space, conversion formula is as follows:

$s=\left\{\begin{array}{cc}0& Max(r,g,b)=0\\ \frac{Max(r,g,b)-Min(r,g,b)}{Max(r,g,b)}& Max(r,g,b)\&NotEqual;0\end{array}\right.$

V=Max (r, g, b)

Wherein, (r, g b) are the pixel RGB coordinate figure at RGB color of original hardwood image, virtual value model Enclose and be (0,1)；H is pixel form and aspect component in hsv color space, and s is saturated in hsv color space of pixel Degree component, v is pixel chrominance component in hsv color space；

Tonal color model is as follows:

$Q_{hue}=\{Q_{hue}\left(w\right),w=1,\mathrm{...}n;\underset{w=1}{\overset{n}{\&Sigma;}}{Q}_{hue}\left(w\right)b_w=1\}$

Herein

$Q_{hue}\left(w\right)=\frac{1}{\underset{i=1}{\overset{m}{\&Sigma;}}{e}^{-\frac{\left|\right|x_i-x_c|{|}^2}{\sqrt{2}{h}^{\&prime;}\mathrm{\&sigma;}}}}\&times;\underset{i=1}{\overset{m}{\&Sigma;}}\&lsqb;e^{-\frac{\left|\right|x_i-x_c|{|}^2}{\sqrt{2}{h}^{\&prime;}\mathrm{\&sigma;}}}\&times;\mathrm{\&delta;}\&lsqb;d\left(x_i\right)-w\&rsqb;\&rsqb;$

$h^{\&prime;}=\left\{\begin{array}{cc}h\&times;0.9+0.05& s\&times;v\&GreaterEqual;0.04\\ v\&times;0.1& s\&times;v<0.04,<0.2\\ v\&times;0.1-0.01& s\&times;v<0.04,0.2\&le;v<0.8\\ v\&times;0.1-0.05& s\&times;v<0.04,v\&GreaterEqual;0.8\end{array}\right.$

Wherein, function δ [d (x_i)-w] it is pixel x_iProjection in w sub spaces region, w is characterized the rope in space Draw, b_wFor the weight of each subspace,It is with pixel x_cCentered by kernel function in two dimensional image；

Preferably, described Target Identification Unit also includes:

(3) profile information processing module, for carrying out characteristic area and non-spy to the TP of described original hardwood image The area type levying region divides, merges adjacent same type area, and the wave filter choosing different parameters is combined After characteristic area be smoothed respectively with non-characteristic area, the selection area in described TP is judged as feature The decision condition in region is:

Herein

$f\left(t\right)=\left\{\begin{array}{cc}0& \left|{k^{\&prime;}}_N\left(t\right)\right|<T\&times;max\left|{k^{\&prime;}}_N\left(t\right)\right|\\ 1& \left|{k^{\&prime;}}_N\left(t\right)\right|\&GreaterEqual;T\&times;max\left|{k^{\&prime;}}_N\left(t\right)\right|\end{array}\right.$

Wherein, t represents the profile point of the TP of described original hardwood image, t₀It is positioned at described selection area for default Interior initial profile point, s is default development length, and the value of development length is that the edge contour point of selection area is to described initial The distance of profile point,The real-time curvature revising described development length s for being used at initial profile point is repaiied Positive coefficient,For the radius of curvature of initial profile point,For being obtained by the window function that width range is [3,5] preset The mean radius of curvature of profile starting point；F (t) is for judging whether profile point is characterized characteristic function a little, and f (t)=1 represents This profile point is characterized a little, and f (t)=0 represents that this profile point is non-characteristic point, N_{F (t)=1}The spy being had in representing selection area Levy number a little, N_yFor the number needing the characteristic point included as characteristic area set, k'_NT () is by described window function pair The TP curvature that TP carries out neighborhood averaging and obtains, max | k'_N(t) | represent the absolute value of TP curvature Maximum, T be the span of weights and T be [0.2,0.5]；

(4) feature evaluation module, for the target set in the colouring information processed and profile information and data base Feature is compared coupling calculate matching degree, described matching degree reach to judge during default matching threshold described suspection target as Follow the tracks of target and export result of determination；

Wherein, described profile information processing module include the first wave filter that all characteristic areas are smoothed and The second wave filter being smoothed all non-characteristic areas, a length of of the confidence interval of described first wave filter owns 1/2 of minimum development length in characteristic area, a length of all non-characteristic areas of the confidence interval of described second wave filter In minimum development length 1/2；Curvature according to difference is different, development length correspondingly automatic adaptive change, effectively Reduce the distortion phenomenon after merging, it is simple to more accurately target is identified.

The mode that the present embodiment uses colouring information and profile information to combine describes tracking target, the to external world change of illumination Change and there is the strongest robustness, it is to avoid target is described by use single features, improve the precision identified；Revised face Colour space conversion formula more conforms to the visual effect of the mankind, it is possible to reflect more rich information, it is simple to realize quickly identifying with Track, introduces space weight in tonal color model and divides, repeatedly filter, make model more science, and practicality is higher；Wheel is set Wide message processing module, chooses the characteristic area after the wave filter of different parameters is combined and smooths respectively with non-characteristic area Process, it is contemplated that profile diversity between dissimilar region, obtain well between suppression noise and reservation details Balance, the curvature according to difference is different, development length correspondingly automatic adaptive change, effectively reduces the distortion after merging Phenomenon, it is simple to more accurately target is identified, wherein setsWidth be 3, the value of weights T is 0.2, identify essence Degree improves 2%, and recognition speed improves 1%.

Embodiment 2

See Fig. 1, Fig. 2, the warning system of a kind of quick identification of the present embodiment, including warning system and with warning system phase Target Identification Unit even, is characterized in that, described warning system includes:

Warning system fixed host computer, it is characterised in that described warning system also includes and is arranged on one or more monitoring The headend equipment of field, by the connected mode of wired or wireless communication between described headend equipment and warning system fixed host computer Phase data exchange realizes by the monitoring place at warning system fixed host computer monitoring headend equipment place mutually, and described warning system is solid Determine main frame be additionally provided with this warning system fixed host computer by communication match use removable hand-held control fill Put, the integrated electricity being provided with by warning system fixed host computer between warning system fixed host computer and removable hand-held control device Road module realizes data exchange thus whether is controlled the action of warning system fixed host computer by removable hand-held control device, described Warning system fixed host computer pass through reception device from be provided with integrated circuit modules to 110 or 119 command centres transmit before The spied out warning message of end equipment.

Preferably, described removable hand-held control device is to have display device and the instrument of ease of Use keyboard or hands Machine communication tool, it is connected by radio signal with warning system fixed host computer and can realize hand-held being controlled dress by removable Put and whether control the action of warning system fixed host computer.

Preferably, described headend equipment is Safety defence detector, or fire detector, or Safety defence detector and detection The complex detector that device integrally combines.

Preferably, described Target Identification Unit includes:

(1) Target Acquisition module is suspected, for identifying that in monitor video suspecting that target reading comprise suspects target Original hardwood image, it includes the infrared CCD being connected with field computer, and described infrared CCD is by defeated The picture signal gone out is input to field computer and is made whether to there is the differentiation process suspecting target；

(2) colouring information processing module, described original hardwood image is carried out from RGB color to hsv color space by it Conversion and build the described suspection target tonal color model in hsv color space, conversion formula is as follows:

$s=\left\{\begin{array}{cc}0& Max(r,g,b)=0\\ \frac{Max(r,g,b)-Min(r,g,b)}{Max(r,g,b)}& Max(r,g,b)\&NotEqual;0\end{array}\right.$

V=Max (r, g, b)

Wherein, (r, g b) are the pixel RGB coordinate figure at RGB color of original hardwood image, virtual value model Enclose and be (0,1)；H is pixel form and aspect component in hsv color space, and s is saturated in hsv color space of pixel Degree component, v is pixel chrominance component in hsv color space；

Tonal color model is as follows:

$Q_{hue}=\{Q_{hue}\left(w\right),w=1,\mathrm{...}n;\underset{w=1}{\overset{n}{\&Sigma;}}{Q}_{hue}\left(w\right)b_w=1\}$

Herein

$Q_{hue}\left(w\right)=\frac{1}{\underset{i=1}{\overset{m}{\&Sigma;}}{e}^{-\frac{\left|\right|x_i-x_c|{|}^2}{\sqrt{2}{h}^{\&prime;}\mathrm{\&sigma;}}}}\&times;\underset{i=1}{\overset{m}{\&Sigma;}}\&lsqb;e^{-\frac{\left|\right|x_i-x_c|{|}^2}{\sqrt{2}{h}^{\&prime;}\mathrm{\&sigma;}}}\&times;\mathrm{\&delta;}\&lsqb;d\left(x_i\right)-w\&rsqb;\&rsqb;$

$h^{\&prime;}=\left\{\begin{array}{cc}h\&times;0.9+0.05& s\&times;v\&GreaterEqual;0.04\\ v\&times;0.1& s\&times;v<0.04,<0.2\\ v\&times;0.1-0.01& s\&times;v<0.04,0.2\&le;v<0.8\\ v\&times;0.1-0.05& s\&times;v<0.04,v\&GreaterEqual;0.8\end{array}\right.$

Wherein, function δ [d (x_i)-w] it is pixel x_iProjection in w sub spaces region, w is characterized the rope in space Draw, b_wFor the weight of each subspace,It is with pixel x_cCentered by kernel function in two dimensional image；

Preferably, described Target Identification Unit also includes:

(3) profile information processing module, for carrying out characteristic area and non-spy to the TP of described original hardwood image The area type levying region divides, merges adjacent same type area, and the wave filter choosing different parameters is combined After characteristic area be smoothed respectively with non-characteristic area, the selection area in described TP is judged as feature The decision condition in region is:

Herein

$f\left(t\right)=\left\{\begin{array}{cc}0& \left|{k^{\&prime;}}_N\left(t\right)\right|<T\&times;max\left|{k^{\&prime;}}_N\left(t\right)\right|\\ 1& \left|{k^{\&prime;}}_N\left(t\right)\right|\&GreaterEqual;T\&times;max\left|{k^{\&prime;}}_N\left(t\right)\right|\end{array}\right.$

Wherein, t represents the profile point of the TP of described original hardwood image, t₀It is positioned at described selection area for default Interior initial profile point, s is default development length, and the value of development length is that the edge contour point of selection area is to described initial The distance of profile point,The real-time curvature revising described development length s for being used at initial profile point is repaiied Positive coefficient,For the radius of curvature of initial profile point,For being obtained by the window function that width range is [3,5] preset The mean radius of curvature of profile starting point；F (t) is for judging whether profile point is characterized characteristic function a little, and f (t)=1 represents This profile point is characterized a little, and f (t)=0 represents that this profile point is non-characteristic point, N_{F (t)=1}The spy being had in representing selection area Levy number a little, N_yFor the number needing the characteristic point included as characteristic area set, k'_NT () is by described window function pair The TP curvature that TP carries out neighborhood averaging and obtains, max | k'_N(t) | represent the absolute value of TP curvature Maximum, T be the span of weights and T be [0.2,0.5]；

(4) feature evaluation module, for the target set in the colouring information processed and profile information and data base Feature is compared coupling calculate matching degree, described matching degree reach to judge during default matching threshold described suspection target as Follow the tracks of target and export result of determination；

Wherein, described profile information processing module include the first wave filter that all characteristic areas are smoothed and The second wave filter being smoothed all non-characteristic areas, a length of of the confidence interval of described first wave filter owns 1/2 of minimum development length in characteristic area, a length of all non-characteristic areas of the confidence interval of described second wave filter In minimum development length 1/2；Curvature according to difference is different, development length correspondingly automatic adaptive change, effectively Reduce the distortion phenomenon after merging, it is simple to more accurately target is identified.

The mode that the present embodiment uses colouring information and profile information to combine describes tracking target, the to external world change of illumination Change and there is the strongest robustness, it is to avoid target is described by use single features, improve the precision identified；Revised face Colour space conversion formula more conforms to the visual effect of the mankind, it is possible to reflect more rich information, it is simple to realize quickly identifying with Track, introduces space weight in tonal color model and divides, repeatedly filter, make model more science, and practicality is higher；Wheel is set Wide message processing module, chooses the characteristic area after the wave filter of different parameters is combined and smooths respectively with non-characteristic area Process, it is contemplated that profile diversity between dissimilar region, obtain well between suppression noise and reservation details Balance, the curvature according to difference is different, development length correspondingly automatic adaptive change, effectively reduces the distortion after merging Phenomenon, it is simple to more accurately target is identified, wherein setsWidth be 4, the value of weights T is 0.3, identify essence Degree improves 1%, and recognition speed improves 2%.

Embodiment 3

See Fig. 1, Fig. 2, the warning system of a kind of quick identification of the present embodiment, including warning system and with warning system phase Target Identification Unit even, is characterized in that, described warning system includes:

Warning system fixed host computer, it is characterised in that described warning system also includes and is arranged on one or more monitoring The headend equipment of field, by the connected mode of wired or wireless communication between described headend equipment and warning system fixed host computer Phase data exchange realizes by the monitoring place at warning system fixed host computer monitoring headend equipment place mutually, and described warning system is solid Determine main frame be additionally provided with this warning system fixed host computer by communication match use removable hand-held control fill Put, the integrated electricity being provided with by warning system fixed host computer between warning system fixed host computer and removable hand-held control device Road module realizes data exchange thus whether is controlled the action of warning system fixed host computer by removable hand-held control device, described Warning system fixed host computer pass through reception device from be provided with integrated circuit modules to 110 or 119 command centres transmit before The spied out warning message of end equipment.

Preferably, described removable hand-held control device is to have display device and the instrument of ease of Use keyboard or hands Machine communication tool, it is connected by radio signal with warning system fixed host computer and can realize hand-held being controlled dress by removable Put and whether control the action of warning system fixed host computer.

Preferably, described headend equipment is Safety defence detector, or fire detector, or Safety defence detector and detection The complex detector that device integrally combines.

Preferably, described Target Identification Unit includes:

(1) Target Acquisition module is suspected, for identifying that in monitor video suspecting that target reading comprise suspects target Original hardwood image, it includes the infrared CCD being connected with field computer, and described infrared CCD is by defeated The picture signal gone out is input to field computer and is made whether to there is the differentiation process suspecting target；

(2) colouring information processing module, described original hardwood image is carried out from RGB color to hsv color space by it Conversion and build the described suspection target tonal color model in hsv color space, conversion formula is as follows:

$s=\left\{\begin{array}{cc}0& Max(r,g,b)=0\\ \frac{Max(r,g,b)-Min(r,g,b)}{Max(r,g,b)}& Max(r,g,b)\&NotEqual;0\end{array}\right.$

V=Max (r, g, b)

Wherein, (r, g b) are the pixel RGB coordinate figure at RGB color of original hardwood image, virtual value model Enclose and be (0,1)；H is pixel form and aspect component in hsv color space, and s is saturated in hsv color space of pixel Degree component, v is pixel chrominance component in hsv color space；

Tonal color model is as follows:

$Q_{hue}=\{Q_{hue}\left(w\right),w=1,\mathrm{...}n;\underset{w=1}{\overset{n}{\&Sigma;}}{Q}_{hue}\left(w\right)b_w=1\}$

Herein

$Q_{hue}\left(w\right)=\frac{1}{\underset{i=1}{\overset{m}{\&Sigma;}}{e}^{-\frac{\left|\right|x_i-x_c|{|}^2}{\sqrt{2}{h}^{\&prime;}\mathrm{\&sigma;}}}}\&times;\underset{i=1}{\overset{m}{\&Sigma;}}\&lsqb;e^{-\frac{\left|\right|x_i-x_c|{|}^2}{\sqrt{2}{h}^{\&prime;}\mathrm{\&sigma;}}}\&times;\mathrm{\&delta;}\&lsqb;d\left(x_i\right)-w\&rsqb;\&rsqb;$

$h^{\&prime;}=\left\{\begin{array}{cc}h\&times;0.9+0.05& s\&times;v\&GreaterEqual;0.04\\ v\&times;0.1& s\&times;v<0.04,<0.2\\ v\&times;0.1-0.01& s\&times;v<0.04,0.2\&le;v<0.8\\ v\&times;0.1-0.05& s\&times;v<0.04,v\&GreaterEqual;0.8\end{array}\right.$

Wherein, function δ [d (x_i)-w] it is pixel x_iProjection in w sub spaces region, w is characterized the rope in space Draw, b_wFor the weight of each subspace,It is with pixel x_cCentered by kernel function in two dimensional image；

Preferably, described Target Identification Unit also includes:

(3) profile information processing module, for carrying out characteristic area and non-spy to the TP of described original hardwood image The area type levying region divides, merges adjacent same type area, and the wave filter choosing different parameters is combined After characteristic area be smoothed respectively with non-characteristic area, the selection area in described TP is judged as feature The decision condition in region is:

Herein

$f\left(t\right)=\left\{\begin{array}{cc}0& \left|{k^{\&prime;}}_N\left(t\right)\right|<T\&times;max\left|{k^{\&prime;}}_N\left(t\right)\right|\\ 1& \left|{k^{\&prime;}}_N\left(t\right)\right|\&GreaterEqual;T\&times;max\left|{k^{\&prime;}}_N\left(t\right)\right|\end{array}\right.$

Wherein, t represents the profile point of the TP of described original hardwood image, t₀It is positioned at described selection area for default Interior initial profile point, s is default development length, and the value of development length is that the edge contour point of selection area is to described initial The distance of profile point,The real-time curvature revising described development length s for being used at initial profile point is repaiied Positive coefficient,For the radius of curvature of initial profile point,For being obtained by the window function that width range is [3,5] preset The mean radius of curvature of profile starting point；F (t) is for judging whether profile point is characterized characteristic function a little, and f (t)=1 represents This profile point is characterized a little, and f (t)=0 represents that this profile point is non-characteristic point, N_{F (t)=1}The spy being had in representing selection area Levy number a little, N_yFor the number needing the characteristic point included as characteristic area set, k'_NT () is by described window function pair The TP curvature that TP carries out neighborhood averaging and obtains, max | k'_N(t) | represent the absolute value of TP curvature Maximum, T be the span of weights and T be [0.2,0.5]；

(4) feature evaluation module, for the target set in the colouring information processed and profile information and data base Feature is compared coupling calculate matching degree, described matching degree reach to judge during default matching threshold described suspection target as Follow the tracks of target and export result of determination；

Wherein, described profile information processing module include the first wave filter that all characteristic areas are smoothed and The second wave filter being smoothed all non-characteristic areas, a length of of the confidence interval of described first wave filter owns 1/2 of minimum development length in characteristic area, a length of all non-characteristic areas of the confidence interval of described second wave filter In minimum development length 1/2；Curvature according to difference is different, development length correspondingly automatic adaptive change, effectively Reduce the distortion phenomenon after merging, it is simple to more accurately target is identified.

The mode that the present embodiment uses colouring information and profile information to combine describes tracking target, the to external world change of illumination Change and there is the strongest robustness, it is to avoid target is described by use single features, improve the precision identified；Revised face Colour space conversion formula more conforms to the visual effect of the mankind, it is possible to reflect more rich information, it is simple to realize quickly identifying with Track, introduces space weight in tonal color model and divides, repeatedly filter, make model more science, and practicality is higher；Wheel is set Wide message processing module, chooses the characteristic area after the wave filter of different parameters is combined and smooths respectively with non-characteristic area Process, it is contemplated that profile diversity between dissimilar region, obtain well between suppression noise and reservation details Balance, the curvature according to difference is different, development length correspondingly automatic adaptive change, effectively reduces the distortion after merging Phenomenon, it is simple to more accurately target is identified, wherein setsWidth be 5, the value of weights T is 0.4, identify essence Degree improves 2%, and recognition speed improves 3%.

Embodiment 4

See Fig. 1, Fig. 2, the warning system of a kind of quick identification of the present embodiment, including warning system and with warning system phase Target Identification Unit even, is characterized in that, described warning system includes:

Warning system fixed host computer, it is characterised in that described warning system also includes and is arranged on one or more monitoring The headend equipment of field, by the connected mode of wired or wireless communication between described headend equipment and warning system fixed host computer Phase data exchange realizes by the monitoring place at warning system fixed host computer monitoring headend equipment place mutually, and described warning system is solid Determine main frame be additionally provided with this warning system fixed host computer by communication match use removable hand-held control fill Put, the integrated electricity being provided with by warning system fixed host computer between warning system fixed host computer and removable hand-held control device Road module realizes data exchange thus whether is controlled the action of warning system fixed host computer by removable hand-held control device, described Warning system fixed host computer pass through reception device from be provided with integrated circuit modules to 110 or 119 command centres transmit before The spied out warning message of end equipment.

Preferably, described removable hand-held control device is to have display device and the instrument of ease of Use keyboard or hands Machine communication tool, it is connected by radio signal with warning system fixed host computer and can realize hand-held being controlled dress by removable Put and whether control the action of warning system fixed host computer.

Preferably, described headend equipment is Safety defence detector, or fire detector, or Safety defence detector and detection The complex detector that device integrally combines.

Preferably, described Target Identification Unit includes:

(1) Target Acquisition module is suspected, for identifying that in monitor video suspecting that target reading comprise suspects target Original hardwood image, it includes the infrared CCD being connected with field computer, and described infrared CCD is by defeated The picture signal gone out is input to field computer and is made whether to there is the differentiation process suspecting target；

(2) colouring information processing module, described original hardwood image is carried out from RGB color to hsv color space by it Conversion and build the described suspection target tonal color model in hsv color space, conversion formula is as follows:

$s=\left\{\begin{array}{cc}0& Max(r,g,b)=0\\ \frac{Max(r,g,b)-Min(r,g,b)}{Max(r,g,b)}& Max(r,g,b)\&NotEqual;0\end{array}\right.$

V=Max (r, g, b)

Wherein, (r, g b) are the pixel RGB coordinate figure at RGB color of original hardwood image, virtual value model Enclose and be (0,1)；H is pixel form and aspect component in hsv color space, and s is saturated in hsv color space of pixel Degree component, v is pixel chrominance component in hsv color space；

Tonal color model is as follows:

$Q_{hue}=\{Q_{hue}\left(w\right),w=1,\mathrm{...}n;\underset{w=1}{\overset{n}{\&Sigma;}}{Q}_{hue}\left(w\right)b_w=1\}$

Herein

$Q_{hue}\left(w\right)=\frac{1}{\underset{i=1}{\overset{m}{\&Sigma;}}{e}^{-\frac{\left|\right|x_i-x_c|{|}^2}{\sqrt{2}{h}^{\&prime;}\mathrm{\&sigma;}}}}\&times;\underset{i=1}{\overset{m}{\&Sigma;}}\&lsqb;e^{-\frac{\left|\right|x_i-x_c|{|}^2}{\sqrt{2}{h}^{\&prime;}\mathrm{\&sigma;}}}\&times;\mathrm{\&delta;}\&lsqb;d\left(x_i\right)-w\&rsqb;\&rsqb;$

$h^{\&prime;}=\left\{\begin{array}{cc}h\&times;0.9+0.05& s\&times;v\&GreaterEqual;0.04\\ v\&times;0.1& s\&times;v<0.04,<0.2\\ v\&times;0.1-0.01& s\&times;v<0.04,0.2\&le;v<0.8\\ v\&times;0.1-0.05& s\&times;v<0.04,v\&GreaterEqual;0.8\end{array}\right.$

Wherein, function δ [d (x_i)-w] it is pixel x_iProjection in w sub spaces region, w is characterized the rope in space Draw, b_wFor the weight of each subspace,It is with pixel x_cCentered by kernel function in two dimensional image；

Preferably, described Target Identification Unit also includes:

(3) profile information processing module, for carrying out characteristic area and non-spy to the TP of described original hardwood image The area type levying region divides, merges adjacent same type area, and the wave filter choosing different parameters is combined After characteristic area be smoothed respectively with non-characteristic area, the selection area in described TP is judged as feature The decision condition in region is:

Herein

$f\left(t\right)=\left\{\begin{array}{cc}0& \left|{k^{\&prime;}}_N\left(t\right)\right|<T\&times;max\left|{k^{\&prime;}}_N\left(t\right)\right|\\ 1& \left|{k^{\&prime;}}_N\left(t\right)\right|\&GreaterEqual;T\&times;max\left|{k^{\&prime;}}_N\left(t\right)\right|\end{array}\right.$

Wherein, t represents the profile point of the TP of described original hardwood image, t₀It is positioned at described selection area for default Interior initial profile point, s is default development length, and the value of development length is that the edge contour point of selection area is to described initial The distance of profile point,The real-time curvature revising described development length s for being used at initial profile point is repaiied Positive coefficient,For the radius of curvature of initial profile point,For being obtained by the window function that width range is [3,5] preset The mean radius of curvature of profile starting point；F (t) is for judging whether profile point is characterized characteristic function a little, and f (t)=1 represents This profile point is characterized a little, and f (t)=0 represents that this profile point is non-characteristic point, N_{F (t)=1}The spy being had in representing selection area Levy number a little, N_yFor the number needing the characteristic point included as characteristic area set, k'_NT () is by described window function pair The TP curvature that TP carries out neighborhood averaging and obtains, max | k'_N(t) | represent the absolute value of TP curvature Maximum, T be the span of weights and T be [0.2,0.5]；

(4) feature evaluation module, for the target set in the colouring information processed and profile information and data base Feature is compared coupling calculate matching degree, described matching degree reach to judge during default matching threshold described suspection target as Follow the tracks of target and export result of determination；

Wherein, described profile information processing module include the first wave filter that all characteristic areas are smoothed and The second wave filter being smoothed all non-characteristic areas, a length of of the confidence interval of described first wave filter owns 1/2 of minimum development length in characteristic area, a length of all non-characteristic areas of the confidence interval of described second wave filter In minimum development length 1/2；Curvature according to difference is different, development length correspondingly automatic adaptive change, effectively Reduce the distortion phenomenon after merging, it is simple to more accurately target is identified.

The mode that the present embodiment uses colouring information and profile information to combine describes tracking target, the to external world change of illumination Change and there is the strongest robustness, it is to avoid target is described by use single features, improve the precision identified；Revised face Colour space conversion formula more conforms to the visual effect of the mankind, it is possible to reflect more rich information, it is simple to realize quickly identifying with Track, introduces space weight in tonal color model and divides, repeatedly filter, make model more science, and practicality is higher；Wheel is set Wide message processing module, chooses the characteristic area after the wave filter of different parameters is combined and smooths respectively with non-characteristic area Process, it is contemplated that profile diversity between dissimilar region, obtain well between suppression noise and reservation details Balance, the curvature according to difference is different, development length correspondingly automatic adaptive change, effectively reduces the distortion after merging Phenomenon, it is simple to more accurately target is identified, wherein setsWidth be 5, the value of weights T is 0.5, identify essence Degree improves 2%, and recognition speed improves 2.5%.

Embodiment 5

See Fig. 1, Fig. 2, the warning system of a kind of quick identification of the present embodiment, including warning system and with warning system phase Target Identification Unit even, is characterized in that, described warning system includes:

Warning system fixed host computer, it is characterised in that described warning system also includes and is arranged on one or more monitoring The headend equipment of field, by the connected mode of wired or wireless communication between described headend equipment and warning system fixed host computer Phase data exchange realizes by the monitoring place at warning system fixed host computer monitoring headend equipment place mutually, and described warning system is solid Determine main frame be additionally provided with this warning system fixed host computer by communication match use removable hand-held control fill Put, the integrated electricity being provided with by warning system fixed host computer between warning system fixed host computer and removable hand-held control device Road module realizes data exchange thus whether is controlled the action of warning system fixed host computer by removable hand-held control device, described Warning system fixed host computer pass through reception device from be provided with integrated circuit modules to 110 or 119 command centres transmit before The spied out warning message of end equipment.

Preferably, described removable hand-held control device is to have display device and the instrument of ease of Use keyboard or hands Machine communication tool, it is connected by radio signal with warning system fixed host computer and can realize hand-held being controlled dress by removable Put and whether control the action of warning system fixed host computer.

Preferably, described headend equipment is Safety defence detector, or fire detector, or Safety defence detector and detection The complex detector that device integrally combines.

Preferably, described Target Identification Unit includes:

(1) Target Acquisition module is suspected, for identifying that in monitor video suspecting that target reading comprise suspects target Original hardwood image, it includes the infrared CCD being connected with field computer, and described infrared CCD is by defeated The picture signal gone out is input to field computer and is made whether to there is the differentiation process suspecting target；

(2) colouring information processing module, described original hardwood image is carried out from RGB color to hsv color space by it Conversion and build the described suspection target tonal color model in hsv color space, conversion formula is as follows:

$s=\left\{\begin{array}{cc}0& Max(r,g,b)=0\\ \frac{Max(r,g,b)-Min(r,g,b)}{Max(r,g,b)}& Max(r,g,b)\&NotEqual;0\end{array}\right.$

V=Max (r, g, b)

Wherein, (r, g b) are the pixel RGB coordinate figure at RGB color of original hardwood image, virtual value model Enclose and be (0,1)；H is pixel form and aspect component in hsv color space, and s is saturated in hsv color space of pixel Degree component, v is pixel chrominance component in hsv color space；

Tonal color model is as follows:

$Q_{hue}=\{Q_{hue}\left(w\right),w=1,\mathrm{...}n;\underset{w=1}{\overset{n}{\&Sigma;}}{Q}_{hue}\left(w\right)b_w=1\}$

Herein

$Q_{hue}\left(w\right)=\frac{1}{\underset{i=1}{\overset{m}{\&Sigma;}}{e}^{-\frac{\left|\right|x_i-x_c|{|}^2}{\sqrt{2}{h}^{\&prime;}\mathrm{\&sigma;}}}}\&times;\underset{i=1}{\overset{m}{\&Sigma;}}\&lsqb;e^{-\frac{\left|\right|x_i-x_c|{|}^2}{\sqrt{2}{h}^{\&prime;}\mathrm{\&sigma;}}}\&times;\mathrm{\&delta;}\&lsqb;d\left(x_i\right)-w\&rsqb;\&rsqb;$

$h^{\&prime;}=\left\{\begin{array}{cc}h\&times;0.9+0.05& s\&times;v\&GreaterEqual;0.04\\ v\&times;0.1& s\&times;v<0.04,<0.2\\ v\&times;0.1-0.01& s\&times;v<0.04,0.2\&le;v<0.8\\ v\&times;0.1-0.05& s\&times;v<0.04,v\&GreaterEqual;0.8\end{array}\right.$

Wherein, function δ [d (x_i)-w] it is pixel x_iProjection in w sub spaces region, w is characterized the rope in space Draw, b_wFor the weight of each subspace,It is with pixel x_cCentered by kernel function in two dimensional image；

Preferably, described Target Identification Unit also includes:

(3) profile information processing module, for carrying out characteristic area and non-spy to the TP of described original hardwood image The area type levying region divides, merges adjacent same type area, and the wave filter choosing different parameters is combined After characteristic area be smoothed respectively with non-characteristic area, the selection area in described TP is judged as feature The decision condition in region is:

Herein

$f\left(t\right)=\left\{\begin{array}{cc}0& \left|{k^{\&prime;}}_N\left(t\right)\right|<T\&times;max\left|{k^{\&prime;}}_N\left(t\right)\right|\\ 1& \left|{k^{\&prime;}}_N\left(t\right)\right|\&GreaterEqual;T\&times;max\left|{k^{\&prime;}}_N\left(t\right)\right|\end{array}\right.$

Wherein, t represents the profile point of the TP of described original hardwood image, t₀It is positioned at described selection area for default Interior initial profile point, s is default development length, and the value of development length is that the edge contour point of selection area is to described initial The distance of profile point,The real-time curvature revising described development length s for being used at initial profile point is repaiied Positive coefficient,For the radius of curvature of initial profile point,For being obtained by the window function that width range is [3,5] preset The mean radius of curvature of profile starting point；F (t) is for judging whether profile point is characterized characteristic function a little, and f (t)=1 represents This profile point is characterized a little, and f (t)=0 represents that this profile point is non-characteristic point, N_{F (t)=1}The spy being had in representing selection area Levy number a little, N_yFor the number needing the characteristic point included as characteristic area set, k'_NT () is by described window function pair The TP curvature that TP carries out neighborhood averaging and obtains, max | k'_N(t) | represent the absolute value of TP curvature Maximum, T be the span of weights and T be [0.2,0.5]；

(4) feature evaluation module, for the target set in the colouring information processed and profile information and data base Feature is compared coupling calculate matching degree, described matching degree reach to judge during default matching threshold described suspection target as Follow the tracks of target and export result of determination；

Wherein, described profile information processing module include the first wave filter that all characteristic areas are smoothed and The second wave filter being smoothed all non-characteristic areas, a length of of the confidence interval of described first wave filter owns 1/2 of minimum development length in characteristic area, a length of all non-characteristic areas of the confidence interval of described second wave filter In minimum development length 1/2；Curvature according to difference is different, development length correspondingly automatic adaptive change, effectively Reduce the distortion phenomenon after merging, it is simple to more accurately target is identified.

The mode that the present embodiment uses colouring information and profile information to combine describes tracking target, the to external world change of illumination Change and there is the strongest robustness, it is to avoid target is described by use single features, improve the precision identified；Revised face Colour space conversion formula more conforms to the visual effect of the mankind, it is possible to reflect more rich information, it is simple to realize quickly identifying with Track, introduces space weight in tonal color model and divides, repeatedly filter, make model more science, and practicality is higher；Wheel is set Wide message processing module, chooses the characteristic area after the wave filter of different parameters is combined and smooths respectively with non-characteristic area Process, it is contemplated that profile diversity between dissimilar region, obtain well between suppression noise and reservation details Balance, the curvature according to difference is different, development length correspondingly automatic adaptive change, effectively reduces the distortion after merging Phenomenon, it is simple to more accurately target is identified, wherein setsWidth be 4, the value of weights T is 0.3, identify essence Degree improves 2.5%, and recognition speed improves 3.5%.

Last it should be noted that, above example is only in order to illustrate technical scheme, rather than the present invention is protected Protecting the restriction of scope, although having made to explain to the present invention with reference to preferred embodiment, those of ordinary skill in the art should Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention Matter and scope.

Claims (6)

1. a warning system for quick identification, including warning system and the Target Identification Unit that is connected with warning system, it is special Levying and be, described warning system includes:

Warning system fixed host computer, it is characterised in that described warning system also includes and is arranged on one or more monitoring field Headend equipment, mutual by the connected mode of wired or wireless communication between described headend equipment and warning system fixed host computer Data exchange realizes by the monitoring place at warning system fixed host computer monitoring headend equipment place, and described warning system is fixing main Machine be additionally provided with this warning system fixed host computer by communication match use removable hand-held control device, report The integrated circuit die being provided with by warning system fixed host computer between alarm system fixed host computer and removable hand-held control device Block realizes data exchange thus whether is controlled the action of warning system fixed host computer by removable hand-held control device, described report Alarm system fixed host computer passes through be provided with integrated circuit modules and sets to the reception device transmission front end of 110 or 119 command centres Standby spied out warning message.

The warning system of a kind of quick identification the most according to claim 1, is characterized in that, described removable hand-held control Device is to have display device and the instrument of ease of Use keyboard or mobile communication instrument, and it passes through with warning system fixed host computer Radio signal is connected and whether can realize the action by removable hand-held control device control warning system fixed host computer.

The warning system of a kind of quick identification the most according to claim 2, is characterized in that, described headend equipment is security protection Detector, or fire detector, or the complex detector that Safety defence detector integrally combines with fire detector.

The warning system of a kind of quick identification the most according to claim 3, is characterized in that, described Target Identification Unit bag Include:

(1) Target Acquisition module is suspected, for identifying that in monitor video suspecting that target reading comprise suspects the original of target Hardwood image, it includes the infrared CCD being connected with field computer, and described infrared CCD is by output Picture signal is input to field computer and is made whether to there is the differentiation process suspecting target；

(2) colouring information processing module, described original hardwood image is carried out turning to hsv color space from RGB color by it Changing and build the described suspection target tonal color model in hsv color space, conversion formula is as follows:

V=Max (r, g, b)

Wherein, (r, g, b) be the pixel RGB coordinate figure at RGB color of original hardwood image, and valid value range is equal For (0,1)；H is pixel form and aspect component in hsv color space, and s is that pixel saturation in hsv color space is divided Amount, v is pixel chrominance component in hsv color space；

Tonal color model is as follows:

Herein

Wherein, function δ [d (x_i)-w] it is pixel x_iProjection in w sub spaces region, w is characterized the index in space, b_wFor the weight of each subspace,It is with pixel x_cCentered by kernel function in two dimensional image.

The warning system of a kind of quick identification the most according to claim 4, is characterized in that, described Target Identification Unit also wraps Include:

(3) profile information processing module, for carrying out characteristic area and non-characteristic area to the TP of described original hardwood image After the area type in territory divides, merges adjacent same type area, and the wave filter choosing different parameters is combined Characteristic area is smoothed respectively with non-characteristic area, and the selection area in described TP is judged as characteristic area Decision condition be:

Herein

Wherein, t represents the profile point of the TP of described original hardwood image, t₀It is positioned at described selection area for default Initial profile point, s is default development length, and the value of development length is that the edge contour point of selection area is to described initial profile The distance of point,For the real-time curvature correction system for revising described development length s at initial profile point Number,For the radius of curvature of initial profile point,For obtained by the window function that width range is [3,5] preset The mean radius of curvature of profile starting point；F (t) is for judging whether profile point is characterized characteristic function a little, and f (t)=1 represents should Profile point is characterized a little, and f (t)=0 represents that this profile point is non-characteristic point, N_{F (t)=1}The feature being had in representing selection area The number of point, N_yFor the number needing the characteristic point included as characteristic area set, k'_NT () is to reality by described window function The TP curvature that border profile carries out neighborhood averaging and obtains, max | k'N (t) | represents the absolute value of TP curvature Maximum, T be the span of weights and T be [0.2,0.5]；

(4) feature evaluation module, for the target characteristic set in the colouring information processed and profile information and data base Coupling of comparing also calculates matching degree, and described matching degree reaches to judge during default matching threshold that described suspection target is as following the tracks of Target also exports result of determination.

The warning system of a kind of quick identification the most according to claim 5, is characterized in that, described profile information processing module Including the first wave filter that all characteristic areas are smoothed and all non-characteristic areas are smoothed Two wave filter, 1/2 of the minimum development length in a length of all characteristic areas of the confidence interval of described first wave filter, 1/2 of minimum development length in a length of all non-characteristic areas of the confidence interval of described second wave filter.