CN107563321B - A kind of human body target real-time analysis method - Google Patents

A kind of human body target real-time analysis method Download PDF

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CN107563321B
CN107563321B CN201710751525.2A CN201710751525A CN107563321B CN 107563321 B CN107563321 B CN 107563321B CN 201710751525 A CN201710751525 A CN 201710751525A CN 107563321 B CN107563321 B CN 107563321B
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amplitude
variation
image
pixel
processing
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CN107563321A (en
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不公告发明人
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Shenzhen Aosika Biotechnology Co ltd
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Shenzhen Olympic Silk Biotechnology Co Ltd
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Abstract

The present invention relates to a kind of human body target real-time analysis methods, the method includes using human body target real-time analyzer to carry out the real-time detection of subregional tall and big passengers quantity in vehicle car, the system comprises top spherical cameras, it is arranged in car body top, for carrying out realtime image data capture to interior environment, to obtain and export real-time top image;First amplitude of variation detection device, connect with top spherical camera, for obtaining the first amplitude of variation;Second amplitude of variation detection device, connect with top spherical camera, for obtaining the second amplitude of variation.

Description

A kind of human body target real-time analysis method
Technical field
The present invention relates to target analysis field more particularly to a kind of human body target real-time analysis methods.
Background technology
High ferro has many advantages, such as that handling capacity of passengers is high, take less, safety is good, percent of punctuality is high, comfort and convenient and energy consumption are relatively low. It can also be to playing propulsion and proportionality action to regional economic development along the line;Urban economy development and territory are opened along promoting Hair;Number of the enterprise increase along the line makes national tax and land tax accordingly increase;It is energy saving and reduce environmental pollution.Edge can be driven simultaneously Line economy, along the line city shine new vigor high ferro very important facilitation played to industrialization and the development of urbanization, Promote key city along high ferro " to be laid out " again with satellite selection, i.e., radiates and drive Zhou Biancheng with high ferro key city City's synchronized development.
Personnel monitoring in current high-iron carriage generally uses picture control pattern, i.e., camera is installed in compartment to vehicle Personnel in compartment carry out Image Acquisition and image procossing, the result based on image procossing take corresponding counter-measure, this mould Formula easy tos produce monitoring blind area in the case of personnel's congestion, if the work(of electronic equipment can be improved by increasing excessive camera again Consumption.
Invention content
To solve the above-mentioned problems, the present invention provides a kind of human body target real-time analysis methods, and top is introduced in compartment Portion's spherical camera and multiple dot matrix cameras, multiple dot matrix cameras are uniformly arranged on the top affiliated compartment of spherical camera The different location at top, each dot matrix camera is shot towards compartment, under default conditions, each dot matrix camera All it is in off state;DSP processing chips are introduced, for location determination each point based on each tall and big passenger in compartment The quantity of tall and big passenger opens corresponding dot matrix camera when quantity is more than or equal to preset quantity threshold value near battle array camera, Otherwise, corresponding dot matrix camera is closed.
According to an aspect of the present invention, a kind of human body target real-time analysis method is provided, the method includes users Body target real-time analyzer in vehicle car to carry out the real-time detection of subregional tall and big passengers quantity, the system packet It includes:Top spherical camera, setting is in car body top, for carrying out realtime image data capture to interior environment, to obtain It obtains and exports real-time top image;First amplitude of variation detection device, connect with top spherical camera, for receiving real-time top Its pixel value is subtracted its same column downlink pixel by portion's image for the pixel value of each pixel in real-time top image The difference obtained after pixel value is done square to obtain the first square value, its pixel value is subtracted to the pixel value of its following pixel of going together The difference obtained afterwards is done square to obtain the second square value, being obtained after the first square value is added with the second square value and carry out Evolution is to obtain the first amplitude of variation, wherein the first amplitude of variation of each pixel of last column of real-time top image Directly take the first amplitude of variation of the same column pixel of lastrow, the of each pixel of last row of real-time top image One amplitude of variation directly takes the first amplitude of variation of colleague's pixel of previous column;Second amplitude of variation detection device, with top Spherical camera connects,, will for the pixel value of each pixel in real-time top image for receiving real-time top image Its pixel value takes absolute value after subtracting the pixel value of its same column downlink pixel to obtain the first absolute value, its pixel value is subtracted it It takes absolute value after the pixel value for following pixel of going together to obtain the second absolute value, after the first absolute value is added with the second absolute value It is obtaining and as the second amplitude of variation, wherein the second variation width of each pixel of last column of real-time top image Degree directly takes the second amplitude of variation of the same column pixel of lastrow, each pixel of last row of real-time top image Second amplitude of variation directly takes the second amplitude of variation of colleague's pixel of previous column.
More specifically, in the human body target real-time analyzer, the system also includes:Amplitude of variation selection is set It is standby, it is connect respectively with the first amplitude of variation detection device and the second amplitude of variation detection device, for for real-time The pixel value of each pixel in top image compares its first amplitude of variation with its second amplitude of variation, take its Maximum value between one amplitude of variation and its second amplitude of variation is as final amplitude of variation.
More specifically, in the human body target real-time analyzer, the system also includes:Amplitude of variation processing is set It is standby, it is connect with amplitude of variation selection equipment, for the pixel value for each pixel in real-time top image, by it Final amplitude of variation is compared with default amplitude of variation threshold value, is more than or equal to default amplitude of variation threshold for final amplitude of variation Each pixel of value is sharpened processing to its pixel value with the pixel value that obtains that treated, is less than to final amplitude of variation pre- If each pixel of amplitude of variation threshold value, directly using its pixel value as treated pixel value, the institute in real-time top image There is a pixel treated that pixel value forms the corresponding amplitude of variation processing image of real-time top image.
More specifically, in the human body target real-time analyzer, the system also includes:
First conversion equipment is connect with amplitude of variation processing equipment, image is handled for receiving amplitude of variation, to the change The pixel value that change amplitude handles each pixel of image executes logarithmic transformation to obtain corresponding logarithm, by the variation The corresponding logarithm of all pixels point of amplitude processing image is according to pixel in the amplitude of variation handles image Composition two-dimensional array put in order to be exported as logarithmic transformation array;Second conversion equipment connects with first conversion equipment It connects, the logarithmic transformation array is decomposed for receiving the logarithmic transformation array, and using warp wavelet, to obtain State the high frequency conversion array of amplitude of variation processing image and the low frequency transform array of amplitude of variation processing image;
Break up processing equipment, is connect with second conversion equipment, the high frequency for handling the amplitude of variation image It converts array and executes bilateral filtering processing to obtain the first processing array, handle the amplitude of variation low frequency transform number of image Group execution is smooth to be filtered to obtain second processing array, and handles array and the second processing array group by described first Synthesize the corresponding differentiation processing image of the amplitude of variation processing image;Tall and big object detection apparatus connects with differentiation processing equipment It connects, the type identification of each target is carried out to differentiation processing image to determine that height value is more than high Mahayana of preset height threshold value Visitor, output differentiation handles the tall and big passengers quantity in image, and for each tall and big passenger in differentiation processing image, is based on Its depth of field in differentiation handles image determines its position in compartment;
Multiple dot matrix cameras are uniformly arranged on the different location at the top in the top affiliated compartment of spherical camera, each A dot matrix camera is all shot towards compartment, and under default conditions, each dot matrix camera is in off state;At DSP Chip is managed, for the number based on each tall and big passenger tall and big passenger near location determination each dot matrix camera in compartment Amount opens corresponding dot matrix camera when quantity is more than or equal to preset quantity threshold value, otherwise, closes corresponding dot matrix camera shooting Head;
Wherein, the differentiation processing equipment handles array by described first and the second processing array is combined into the change The corresponding differentiation of change amplitude processing image handles image and includes:The differentiation processing equipment is based on bent reconstructed wave pattern by described the One processing array and the second processing array are combined into the corresponding differentiation processing image of the amplitude of variation processing image.
More specifically, in the human body target real-time analyzer:In the amplitude of variation processing equipment, according to sharp Change grade and determine default amplitude of variation threshold value, sharpening level is higher, and it is smaller to preset amplitude of variation threshold value.
More specifically, in the human body target real-time analyzer:The first amplitude of variation detection device, described Two amplitude of variation detection devices and amplitude of variation selection equipment are arranged on the side wall in compartment.
More specifically, in the human body target real-time analyzer:The amplitude of variation processing equipment, described first become Exchange device and second conversion equipment are arranged on the side wall in compartment.
More specifically, in the human body target real-time analyzer:The differentiation processing equipment, the tall and big target inspection Measurement equipment and the DSP processing chips are arranged in the indoor control box of vehicle control.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein:
Fig. 1 is the block diagram according to the human body target real-time analyzer shown in embodiment of the present invention.
Fig. 2 is the structure according to the differentiation processing equipment of the human body target real-time analyzer shown in embodiment of the present invention Block diagram.
Reference numeral:1 top spherical camera;2 first amplitude of variation detection devices;3 second amplitude of variation detection devices; 4 amplitudes of variation select equipment;5 amplitude of variation processing equipments;6 differentiation processing equipments;The 61 first sub- equipment of processing;62 second processings Sub- equipment;63 groups of zygote equipment
Specific implementation mode
The embodiment of the human body target real-time analyzer of the present invention is described in detail below with reference to accompanying drawings.
Compartment is the main tool of transporting passengers, all indispensable in the important vehicles such as train, automobile, high ferro, Such as railway carriage has semi-cushioned seat coach, cushioned seat coach, sleeper, dining car etc..When passenger is less in compartment, the environment in compartment is easypro Suitable pleasant, passenger can arbitrarily walk about in compartment, freely walk, and select viewing landscape according to the demand of oneself, handed over people It talks or is sitting in and have a rest on vehicle chair.
However, there is also the periods that passenger is crowded, such as festivals or holidays or weekend in compartment, since the destination of passenger is overlapped Property it is high, anxious passenger to be arrived at has been crowded in each compartment and has been certainly existed at this moment if taking single camera Visual angle blind zone meets monitoring requirement if taking the pattern that multiple cameras open simultaneously under jam situation, and non- But the waste of electronic equipment is caused under jam situation.In order to overcome above-mentioned deficiency, it is real that the present invention has built a kind of human body target When analysis method, it is subregional tall and big to be carried out in vehicle car the method includes using human body target real-time analyzer The real-time detection of passengers quantity.
Fig. 1 is the block diagram according to the human body target real-time analyzer shown in embodiment of the present invention, the system System includes:
Top spherical camera, setting is in car body top, for carrying out realtime image data capture to interior environment, To obtain and export real-time top image;
First amplitude of variation detection device, connect with top spherical camera, for receiving real-time top image, for reality When top image in each pixel pixel value, its pixel value is subtracted and is obtained after the pixel value of its same column downlink pixel Difference is done square to obtain the first square value, its pixel value is subtracted to the difference obtained after the pixel value of its following pixel of going together and is done It is being obtained after the first square value is added with the second square value and carry out evolution to obtain first square to obtain the second square value Amplitude of variation, wherein the first amplitude of variation of each pixel of last column of real-time top image directly takes lastrow Same column pixel the first amplitude of variation, real-time top image last row each pixel the first amplitude of variation it is direct Take the first amplitude of variation of colleague's pixel of previous column;
Second amplitude of variation detection device, connect with top spherical camera, for receiving real-time top image, for reality When top image in each pixel pixel value, its pixel value is subtracted and is taken after the pixel value of its same column downlink pixel absolutely Value is taken absolute value after its pixel value to be subtracted to the pixel value of its following pixel of going together to obtain second absolutely with obtaining the first absolute value It is being obtained after the first absolute value is added with the second absolute value and as the second amplitude of variation to value, wherein real-time top image Last column each pixel the second amplitude of variation directly take lastrow same column pixel the second amplitude of variation, it is real When top image last row each pixel the second amplitude of variation directly take previous column colleague's pixel second Amplitude of variation.
Then, continue that the concrete structure of the human body target real-time analyzer of the present invention is further detailed.
In the human body target real-time analyzer, the system also includes:
Amplitude of variation selects equipment, is detected respectively with the first amplitude of variation detection device and second amplitude of variation Equipment connect, for for each pixel in real-time top image pixel value, by its first amplitude of variation and its second Amplitude of variation compares, and takes the maximum value between its first amplitude of variation and its second amplitude of variation as final amplitude of variation.
In the human body target real-time analyzer, the system also includes:
Amplitude of variation processing equipment is connect with amplitude of variation selection equipment, for in real-time top image Its final amplitude of variation is compared, for finally changing width by the pixel value of each pixel with default amplitude of variation threshold value Degree is more than or equal to each pixel of default amplitude of variation threshold value, is sharpened processing to its pixel value with the pixel that obtains that treated Value is less than final amplitude of variation each pixel of default amplitude of variation threshold value, directly using its pixel value as treated picture Element value, treated that pixel value is formed at the corresponding amplitude of variation of real-time top image for all pixels in real-time top image Manage image.
In the human body target real-time analyzer, the system also includes:
First conversion equipment is connect with amplitude of variation processing equipment, image is handled for receiving amplitude of variation, to the change The pixel value that change amplitude handles each pixel of image executes logarithmic transformation to obtain corresponding logarithm, by the variation The corresponding logarithm of all pixels point of amplitude processing image is according to pixel in the amplitude of variation handles image Composition two-dimensional array put in order to be exported as logarithmic transformation array;
Second conversion equipment is connect with first conversion equipment, for receiving the logarithmic transformation array, and using bent Wave conversion decomposes the logarithmic transformation array, with obtain the amplitude of variation handle image high frequency conversion array and The low frequency transform array of the amplitude of variation processing image;
Break up processing equipment, as shown in Fig. 2, connect with second conversion equipment, including the sub- equipment of the first processing, second Sub- equipment and group zygote equipment are handled, the sub- equipment of first processing handles the amplitude of variation high frequency conversion array of image Bilateral filtering processing is executed to obtain the first processing array, the sub- equipment of second processing handles image to the amplitude of variation The execution of low frequency transform array is smooth to be filtered to obtain second processing array, and described group of zygote equipment handles number by described first Group and the second processing array are combined into the corresponding differentiation processing image of amplitude of variation processing image;
Tall and big object detection apparatus is connect with differentiation processing equipment, and the type of each target is carried out to differentiation processing image To determine that height value is more than the tall and big passenger of preset height threshold value, output differentiation handles the tall and big passengers quantity in image for identification, And for each tall and big passenger in differentiation processing image, based on it, the depth of field determines it in compartment in differentiation handles image Position;
Multiple dot matrix cameras are uniformly arranged on the different location at the top in the top affiliated compartment of spherical camera, each A dot matrix camera is all shot towards compartment, and under default conditions, each dot matrix camera is in off state;
DSP processing chips, for attached based on location determination each the dot matrix camera of each tall and big passenger in compartment The quantity of nearly tall and big passenger opens corresponding dot matrix camera when quantity is more than or equal to preset quantity threshold value, otherwise, closes Corresponding dot matrix camera;
Wherein, the differentiation processing equipment handles array by described first and the second processing array is combined into the change The corresponding differentiation of change amplitude processing image handles image and includes:The differentiation processing equipment is based on bent reconstructed wave pattern by described the One processing array and the second processing array are combined into the corresponding differentiation processing image of the amplitude of variation processing image.
In the human body target real-time analyzer:
It in the amplitude of variation processing equipment, is determined according to sharpening level and presets amplitude of variation threshold value, sharpening level is got over It is smaller to preset amplitude of variation threshold value for height.
In the human body target real-time analyzer:
The first amplitude of variation detection device, the second amplitude of variation detection device and amplitude of variation selection are set It is standby to be arranged on the side wall in compartment.
In the human body target real-time analyzer:
The amplitude of variation processing equipment, first conversion equipment and second conversion equipment are arranged in compartment Side wall on.
And in the human body target real-time analyzer:
The differentiation processing equipment, the tall and big object detection apparatus and the DSP processing chips are arranged on vehicle control It makes in indoor control box.
In addition, the inside of dsp chip has special hardware multiplier using the separated Harvard structure of program and data, Widely used pile line operation provides special DSP instructions, can be used for quickly realizing various digital signal processing algorithms.
According to the requirement of Digital Signal Processing, dsp chip generally has some following main features:(1) refer at one A multiplication and a sub-addition can be completed by enabling in the period.(2) program and data space is separated, can simultaneously access instruction sum number According to.(3) there is quick RAM in piece, usually can simultaneously be accessed in two pieces by independent data/address bus.(4) there is low overhead Or without overhead loop and the hardware supported redirected.(5) quickly interrupt processing and Hardware I/O are supported.(6) have within the monocycle Multiple hardware address generators of operation.(7) multiple operations can be executed parallel.(8) it supports pile line operation, makes fetching, translates The operations such as code and execution can be with Overlapped Execution.
Classified according to the data format of dsp chip work.Data are known as pinpointing with the dsp chip that fixed point format works Dsp chip, TMS320C1X/C2X, TMS320C2XX/C5X, TMS320C54X/C62XX such as TI companies are serial, AD companies ADSP21XX series, the DSP16/16A of AT & T Corp., the MC56000 etc. of Motolora companies.What is worked in a floating-point format is known as Float-point DSP, the ADSP21XXX such as the TMS320C3X/C4X/C8X of TI companies, AD companies is serial, AT & T Corp. The MC96002 etc. of DSP32/32C, Motolora company.
Not exclusively, some dsp chips use customized floating-point to floating-point format used by different float-point DSPs Format, such as TMS320C3X, and some dsp chips then use the standard floating-point format of IEEE, such as motorola inc The ZR35325 etc. of the MB86232 and ZORAN companies of MC96002, FUJITSU company.
Human body target real-time analyzer using the present invention, excessively for picture control scheme in compartment in the prior art Inflexible technical problem, by carrying out high-precision, targetedly Image Acquisition and image procossing to the passenger in compartment, to obtain Corresponding Customer information is taken, the switching mode that each camera is current in compartment is determined based on the Customer information, to keep away While having exempted from electronic equipment waste, the effect of compartment monitoring ensure that.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention, Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention is right according to the technical essence of the invention Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection It is interior.

Claims (1)

1. a kind of human body target real-time analysis method, the method includes using human body target real-time analyzer in vehicle vehicle The real-time detection of subregional tall and big passengers quantity is carried out in compartment, which is characterized in that the human body target real-time analyzer packet It includes:
Top spherical camera, setting is in car body top, for carrying out realtime image data capture to interior environment, to obtain It obtains and exports real-time top image;
First amplitude of variation detection device, connect with top spherical camera, for receiving real-time top image, for pushing up in real time Its pixel value is subtracted the difference obtained after the pixel value of its same column downlink pixel by the pixel value of each pixel in portion's image It does square to obtain the first square value, its pixel value is subtracted to the difference obtained after the pixel value of its following pixel of going together and is done square To obtain the second square value, obtained after the first square value is added with the second square value and progress evolution is to obtain the first variation Amplitude, wherein the first amplitude of variation of each pixel of last column of real-time top image directly takes the same of lastrow First amplitude of variation of the first amplitude of variation of row pixel, each pixel of last row of real-time top image is directly taken First amplitude of variation of colleague's pixel of previous column;
Second amplitude of variation detection device, connect with top spherical camera, for receiving real-time top image, for pushing up in real time The pixel value of each pixel in portion's image, its pixel value is subtracted take absolute value after the pixel value of its same column downlink pixel with The first absolute value is obtained, is taken absolute value after its pixel value to be subtracted to the pixel value of its following pixel of going together to obtain second absolutely Value obtaining and as the second amplitude of variation, wherein in real time top image after being added the first absolute value with the second absolute value Second amplitude of variation of each pixel of last column directly takes the second amplitude of variation of the same column pixel of lastrow, in real time Second amplitude of variation of each pixel of last row of top image directly takes the second change of colleague's pixel of previous column Change amplitude;
Amplitude of variation select equipment, respectively with the first amplitude of variation detection device and the second amplitude of variation detection device Connection, for the pixel value for each pixel in real-time top image, by its first amplitude of variation and its second variation Amplitude compares, and takes the maximum value between its first amplitude of variation and its second amplitude of variation as final amplitude of variation;
Amplitude of variation processing equipment is connect with amplitude of variation selection equipment, for for each in real-time top image Its final amplitude of variation is compared by the pixel value of a pixel with default amplitude of variation threshold value, big for final amplitude of variation In each pixel equal to default amplitude of variation threshold value, processing is sharpened to its pixel value with the pixel value that obtains that treated, It is less than each pixel of default amplitude of variation threshold value to final amplitude of variation, directly using its pixel value as treated pixel Value, treated that pixel value forms the corresponding amplitude of variation processing of real-time top image for all pixels in real-time top image Image;
First conversion equipment is connect with amplitude of variation processing equipment, image is handled for receiving amplitude of variation, to the variation width The pixel value of each pixel of degree processing image executes logarithmic transformation to obtain corresponding logarithm, by the amplitude of variation Handle arrangement of the corresponding logarithm of all pixels point of image according to pixel in the amplitude of variation handles image Sequence composition two-dimensional array as logarithmic transformation array to export;
Second conversion equipment is connect with first conversion equipment, is become for receiving the logarithmic transformation array, and using bent wave It changes and the logarithmic transformation array is decomposed, the high frequency conversion array of image and described is handled to obtain the amplitude of variation Amplitude of variation handles the low frequency transform array of image;
Break up processing equipment, is connect with second conversion equipment, the high frequency conversion for handling the amplitude of variation image Array executes bilateral filtering processing to obtain the first processing array, and the low frequency transform array for handling the amplitude of variation image is held Row is smooth to be filtered to obtain second processing array, and the first processing array and the second processing array are combined into The amplitude of variation handles the corresponding differentiation of image and handles image;
Tall and big object detection apparatus is connect with differentiation processing equipment, and the type identification of each target is carried out to differentiation processing image To determine that height value is more than the tall and big passenger of preset height threshold value, the tall and big passengers quantity in output differentiation processing image, and needle Each tall and big passenger in image is handled to differentiation, the depth of field determines its position in compartment in differentiation handles image based on it It sets;
Multiple dot matrix cameras are uniformly arranged on the different location at the top in the top affiliated compartment of spherical camera, each point Battle array camera is all shot towards compartment, and under default conditions, each dot matrix camera is in off state;
DSP processing chips, for high near location determination each dot matrix camera in compartment based on each tall and big passenger The quantity of big passenger opens corresponding dot matrix camera when quantity is more than or equal to preset quantity threshold value, otherwise, closes and corresponds to Dot matrix camera;
Wherein, the differentiation processing equipment handles array by described first and the second processing array is combined into the variation width The corresponding differentiation of degree processing image handles image and includes:The differentiation processing equipment is based on bent reconstructed wave pattern will be at described first Reason array and the second processing array are combined into the corresponding differentiation processing image of the amplitude of variation processing image;
In the amplitude of variation processing equipment, is determined according to sharpening level and preset amplitude of variation threshold value, sharpening level is higher, in advance If amplitude of variation threshold value is smaller;
The first amplitude of variation detection device, the second amplitude of variation detection device and the amplitude of variation select equipment quilt It is arranged on the side wall in compartment;
The amplitude of variation processing equipment, first conversion equipment and second conversion equipment are arranged on the side in compartment On wall;
The differentiation processing equipment, the tall and big object detection apparatus and the DSP processing chips are arranged on vehicle control room In interior control box.
CN201710751525.2A 2017-08-28 2017-08-28 A kind of human body target real-time analysis method Expired - Fee Related CN107563321B (en)

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