CN111354034A - Image recognition system and method for estimating surface area of passenger in rail transit - Google Patents
Image recognition system and method for estimating surface area of passenger in rail transit Download PDFInfo
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- CN111354034A CN111354034A CN202010130193.8A CN202010130193A CN111354034A CN 111354034 A CN111354034 A CN 111354034A CN 202010130193 A CN202010130193 A CN 202010130193A CN 111354034 A CN111354034 A CN 111354034A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61D—BODY DETAILS OR KINDS OF RAILWAY VEHICLES
- B61D27/00—Heating, cooling, ventilating, or air-conditioning
- B61D27/0018—Air-conditioning means, i.e. combining at least two of the following ways of treating or supplying air, namely heating, cooling or ventilating
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/181—Segmentation; Edge detection involving edge growing; involving edge linking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30268—Vehicle interior
Abstract
The invention discloses an image recognition system and method for estimating the surface area of a rail transit passenger, which are used for adjusting a vehicle-mounted intelligent air conditioner. The system comprises a camera and a vehicle-mounted computer, wherein an image preprocessing module, an image segmentation module, a feature extraction module, a height and weight estimation module and a body surface area estimation module are arranged in the computer. The method comprises the steps of shooting an image containing a passenger half-body image by using a camera, carrying out image processing by using modules in a computer, obtaining a body surface contour of the shot passenger, extracting body surface contour characteristics, estimating the height and the weight of the passenger, further obtaining the body surface area, and further obtaining the heat productivity of all passengers in the area. The intelligent air conditioner performs air supply regulation and control according to preset comfortable temperature and the heat productivity of all passengers in the area. The invention changes the traditional strategy of air conditioner regulation and control, and regulates the air conditioner at a new angle, thereby not only reducing the energy waste, but also improving the comfort of passengers.
Description
Technical Field
The invention particularly relates to an image recognition system and method for estimating the surface area of passengers facing rail transit, which are used for the field of high-speed rail air conditioner adjustment.
Background
The traditional high-speed rail air conditioning system uses a temperature sensor, and the proportion of cold and hot air flow is adjusted by using the feedback of the temperature sensor, so that the temperature of a carriage is adjusted. If the heat dissipation capacity of the passenger can be estimated, the problem of adjustment of the air conditioning system can be fundamentally solved, the comfort level of the passenger is improved, and energy is saved. The heat productivity of passengers on the high-speed rail is positively correlated with the body surface area, and the heat productivity of the passengers on the high-speed rail can be obtained by estimating the body surface area of the passengers, so that the targeted adjustment of the air conditioning system is realized.
Disclosure of Invention
Aiming at the problems that the adjustment mode of the conventional high-speed rail air conditioning system is temperature sensor adjustment, energy waste and insufficient comfort are caused due to the fact that the heat productivity of passengers is not considered, the invention provides the image identification system and method for estimating the passenger surface area of the rail transit, and the heat dissipation capacity of the area is further estimated by estimating the body surface area of the passengers, so that the air conditioning is adjusted and controlled.
The image recognition system for the rail transit passenger surface area estimation comprises a camera and an on-board computer, wherein an image preprocessing module, an image segmentation module, a feature extraction module, a height and weight estimation module and a body surface area estimation module are arranged in the on-board computer. The camera installed in the carriage is used for shooting images in the carriage and transmitting the images to the vehicle-mounted computer; the camera can shoot the contour of the half body of the passenger. And the image preprocessing module is used for preprocessing the image received by the computer, removing the region without passengers in the image and then inputting the image into the image segmentation module. The image segmentation module performs threshold segmentation on the color components of the selected pixels of the input image to obtain the body surface contour of the passenger and outputs the body surface contour to the feature extraction module. The feature extraction module extracts three features of height, width and projection area from the body surface contour of the passenger and outputs the three features to the height and weight estimation module. The height refers to the length of the passenger body surface contour on a vertical main axis, the width refers to the length of the passenger body surface contour on a horizontal main axis, and the projection area refers to the number of pixels of a closed area corresponding to the passenger body surface contour. The height and weight estimation module estimates the height and weight of the passenger according to a regression equation of three characteristics of the height and weight and the body surface contour which are fitted in advance and outputs the height and weight to the body surface area estimation module. The body surface area estimation module determines the body surface areas of the passengers according to the relationship between the height, the weight and the body surface areas, and obtains the heat productivity of all the passengers in the carriage according to the relationship between the body surface areas and the heat productivity which are fitted in advance. The intelligent air conditioner performs air supply regulation and control according to preset comfortable temperature and the heat productivity of all passengers in the carriage.
An image recognition method facing rail transit passenger surface area estimation is used for adjusting an air conditioner in a carriage, and the following steps are executed periodically:
step 1, installing a camera in a carriage, acquiring images in the carriage through the camera, and requiring the camera to shoot the contour of the half body of a passenger; the camera transmits the shot image to the vehicle-mounted computer;
step 2, the computer preprocesses the image and removes the area without passengers in the image;
step 3, performing threshold segmentation on the color components of the selected pixels of the image output in the step 2 to obtain the body surface contour of the passenger;
step 4, extracting characteristics including height, width and projection area of the obtained passenger body surface contour; the height refers to the length of the passenger body surface contour on a vertical main shaft, the width refers to the length of the passenger body surface contour on a horizontal main shaft, and the projection area refers to the number of pixels of a closed area corresponding to the passenger body surface contour;
step 5, estimating the height and the weight of the passenger according to the regression equation of the height and the weight which are fitted in advance and the three characteristics, namely the height, the width and the projection area;
and 6, determining the body surface area of the passenger according to the relationship between the height, the weight and the body surface area, obtaining the heat productivity of all passengers in the carriage according to the pre-fitted relationship between the body surface area and the heat productivity, and performing air supply regulation and control on the intelligent air conditioner according to the preset comfortable temperature and the heat productivity.
Compared with the prior art, the image recognition system for estimating the surface area of the rail transit passenger has the following advantages and positive effects: according to the invention, the body surface contour of the passenger is obtained by using an image recognition technology, the height and the weight of the passenger are estimated, so that the surface area of the passenger is calculated, the heat dissipation capacity of the area is estimated, and the targeted adjustment of the high-speed rail air conditioner is realized. The invention provides completely different angles with the prior art for the adjustment of the intelligent air conditioner to realize, does not depend on a single temperature sensor, can realize energy conservation and emission reduction by combining temperature field simulation data, can perform targeted air supply on passenger areas by different heat productivity, and improves the comfort level of passengers.
Drawings
FIG. 1 is an overall structure of the image recognition system for rail transit passenger surface area estimation of the present invention;
FIG. 2 is a schematic flow chart of the image identification method for rail transit passenger surface area estimation according to the present invention;
fig. 3 is a schematic diagram of a contour of a surface of a passenger.
Detailed Description
The present invention will be described in further detail and with reference to the accompanying drawings so that those skilled in the art can understand and practice the invention.
The invention changes the traditional strategy of air conditioner regulation and control, and regulates the air conditioner at a new angle, thereby not only reducing energy waste, but also improving the comfort level of passengers. Specifically, the passenger height and weight are identified by the image, so that the passenger surface area is estimated, the passenger heat productivity is estimated, the targeted air supply is realized for different areas, and the more accurate adjusting function is realized.
The invention provides an image recognition system for estimating the surface area of passengers in rail transit, which aims at taking the adjustment of an air conditioner in a carriage of a high-speed rail as an application scene, and relates to a camera installed in the carriage, a computer arranged on the high-speed rail and an intelligent air conditioner, as shown in figure 1. The computer is provided with an image preprocessing module, an image segmentation module, a feature extraction module, a height and weight estimation module and a body surface area estimation module.
And the camera is used for regularly shooting images in the carriage and transmitting the images to the computer. The position and angle of the camera are required to be capable of shooting the bust image of the passenger. Images shot by cameras belonging to the same compartment have the identifier of the same compartment so as to distinguish the compartment area in the high-speed rail. Further, different identifications can be carried out aiming at different areas in the same compartment. The heat productivity of all passengers in the same area is counted, so that the method is used for accurately controlling the air supply of the air conditioner.
The image preprocessing module preprocesses the image to remove the region without passengers in the image, and then inputs the region into the image segmentation module.
The image segmentation module performs threshold segmentation on the color components of the selected pixels of the input image to obtain the body surface contour of the passenger in the shot image and outputs the body surface contour to the feature extraction module.
The feature extraction module extracts three features of height, width and projection area from the body surface contour of the passenger and outputs the three features to the height and weight estimation module. The height refers to the length of the passenger body surface contour on a vertical main axis, the width refers to the length of the passenger body surface contour on a horizontal main axis, and the projection area refers to the number of pixels of a closed area corresponding to the passenger body surface contour.
The height and weight estimation module estimates the height and weight of the passenger according to a regression equation of three characteristics of the height and weight and the body surface contour which are fitted in advance and outputs the height and weight to the body surface area estimation module.
The body surface area estimation module determines the body surface areas of the passengers according to the relationship between the height, the weight and the body surface areas, and obtains the heat productivity of all the passengers in the carriage according to the relationship between the body surface areas and the heat productivity which are fitted in advance.
The intelligent air conditioner performs air supply regulation and control according to preset comfortable temperature and the heat productivity of all passengers in the carriage.
The invention provides an image identification method for estimating the surface area of a rail transit passenger, which is illustrated in fig. 2 and is divided into the following steps 1-6.
Step 1, a camera in a carriage is used for collecting images. The installation of a camera at a proper position of the carriage enables the information of passengers in the carriage to be collected. The installed camera is required to be able to photograph the bust of the passenger. The camera is connected to a computer, and in the embodiment of the invention, the image information of the camera is obtained by using an opencv library in Python.
And 2, preprocessing the shot image by the computer. The useful information in the image is the body surface contour of the passenger, so the image is preprocessed, the useful information is reserved, and redundant areas are removed. Since the seats of the high-speed rail are fixed, the photographed image can be divided according to the areas of the seats, the aisles, and the like at the time of preprocessing.
And 3, segmenting the image output in the step 2 to obtain the body surface contour of the passenger. The invention selects a threshold classification algorithm to segment the image, and selects the color components of the pixels to segment the threshold. When the passenger is on the seat, the background color of the seat is relatively fixed, and the body surface contour of the passenger is cut according to the RGB color components of the image. As shown in fig. 3, is the body surface contour of a passenger.
And 4, extracting characteristics according to the obtained body surface contour of the passenger. According to the body type characteristics of people, three components of the body surface outline of a passenger, namely height, width and projection area, are selected as the characteristics to be extracted. The height refers to the length of the passenger body surface contour on a vertical main axis, the width refers to the length of the passenger body surface contour on a horizontal main axis, and the projection area refers to the number of pixels of a closed area corresponding to the passenger body surface contour.
And 5, estimating the height and the weight of the passenger.
Sampling the height and the weight of the human body in advance, taking a picture of each person sitting on the seat, executing the steps 3 and 4 to obtain three characteristics of the body surface outline, performing data fitting according to the collected height and the weight and the three characteristics to obtain the relation between the height and the weight and the three characteristics, and expressing by using a regression equation. After obtaining the regression equation, inputting the three characteristics of the passenger body surface contour extracted in the step 4 into the regression equation to estimate the height and the weight of the passenger when the regression equation is actually applied. In order to make the estimation more accurate, when data fitting is performed in advance, a plurality of regression equations are obtained according to more fine division of gender and age stages, so that more accurate estimation is performed.
And 6, estimating the body surface area of the passenger, and further obtaining the corresponding heating value, thereby pertinently adjusting the high-speed rail air conditioner.
The body surface area of a person is approximately related to the height and weight of the person, and SA ═ cH α1Wα2；
Wherein SA is the human body surface area and the unit is m2H is height in cm, W is weight in kg, c is α1,α2Is a constant term. Taking the natural logarithm on both sides of the equation, the above equation can be linearized as:
lnSA＝α0+α1lnH+α2lnW
wherein constant α0＝lnc。
α in this embodiment of the invention0The value is-0.1529, α1Value of 0.0061, α2And (4) taking the value as 0.0128, substituting the height H and the weight W obtained in the step (5) into the formula, calculating to obtain lnSA, and further determining the body surface area SA of the passenger.
The relationship between the human body surface area and the heat productivity can be obtained by sampling according to experiments, and can also be obtained according to historical empirical data. After the body surface area of each passenger in the carriage is determined, the heat productivity in the carriage is calculated, and then the air supply of the air conditioner can be intelligently regulated and controlled according to the comfortable temperature and the heat productivity to be set. And (5) regularly executing the steps 1-6, and adjusting the intelligent air conditioner according to the change of passengers in the carriage.
According to the intelligent air conditioner, image recognition is introduced into the control of the intelligent air conditioner, the surface area and the heat productivity of passengers are obtained by recognizing the outlines of the passengers, so that the heat productivity and the required air supply quantity in an area can be accurately obtained, the intelligent air conditioner can perform intelligent regulation and control, and air supply is regularly detected and regulated.
Claims (2)
1. An image recognition system for rail transit passenger surface area estimation for conditioning air conditioning in a vehicle cabin, comprising:
the camera is arranged in the carriage and is used for regularly shooting images in the carriage and transmitting the images to the vehicle-mounted computer; the camera can shoot the half-length outline of the passenger;
the image preprocessing module, the image segmentation module, the feature extraction module, the height and weight estimation module and the body surface area estimation module are installed in the vehicle-mounted computer; the image preprocessing module is used for preprocessing the image received by the computer, removing the region without passengers in the image and then inputting the image into the image segmentation module; the image segmentation module performs threshold segmentation on color components of selected pixels of the input image to obtain the body surface contour of the passenger and outputs the body surface contour to the feature extraction module; the feature extraction module extracts three features of height, width and projection area from the body surface contour of the passenger and outputs the three features to the height and weight estimation module; the height refers to the length of the passenger body surface contour on a vertical main shaft, the width refers to the length of the passenger body surface contour on a horizontal main shaft, and the projection area refers to the number of pixels of a closed area corresponding to the passenger body surface contour; the height and weight estimation module estimates the height and weight of the passenger according to a regression equation of three characteristics of the height and weight and the body surface contour which are fitted in advance and outputs the height and weight to the body surface area estimation module; the body surface area estimation module determines the body surface areas of passengers according to the relationship between the height, the weight and the body surface areas, and obtains the heat productivity of all the passengers in the carriage according to the relationship between the body surface areas and the heat productivity which are fitted in advance;
the intelligent air conditioner performs air supply regulation and control according to preset comfortable temperature and the heat productivity of all passengers in the carriage.
2. An image recognition method facing rail transit passenger surface area estimation is used for regulating air conditioners in a carriage, and is characterized in that the following steps are executed periodically:
step 1, installing a camera in a carriage, acquiring images in the carriage through the camera, and requiring the camera to shoot the contour of the half body of a passenger; the camera transmits the shot image to the vehicle-mounted computer;
step 2, the computer preprocesses the image and removes the area without passengers in the image;
step 3, performing threshold segmentation on the color components of the selected pixels of the image output in the step 2 to obtain the body surface contour of the passenger;
step 4, extracting characteristics including height, width and projection area of the obtained passenger body surface contour; the height refers to the length of the passenger body surface contour on a vertical main shaft, the width refers to the length of the passenger body surface contour on a horizontal main shaft, and the projection area refers to the number of pixels of a closed area corresponding to the passenger body surface contour;
step 5, estimating the height and the weight of the passenger according to the regression equation of the height and the weight which are fitted in advance and the three characteristics, namely the height, the width and the projection area;
and 6, determining the body surface area of the passenger according to the relationship between the height, the weight and the body surface area, obtaining the heat productivity of all passengers in the carriage according to the pre-fitted relationship between the body surface area and the heat productivity, and performing air supply regulation and control on the intelligent air conditioner according to the preset comfortable temperature and the heat productivity.
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| CN112924034A (en) * | 2021-01-26 | 2021-06-08 | 江苏霆善科技有限公司 | Machine vision-based heat source detection system and method |
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