LAB: Facial Temperature Measurement with IR images
Detect Face Temperature from IR(Infra-Red) images
Last updated
Detect Face Temperature from IR(Infra-Red) images
Last updated
In this lab, you are required to create a simple program that detects the temperature of a person wearing a mask. You will be given a video of IR images of several people measuring their face temperature. Measure the maximum and average temperature of the face (excluding the mask) and show a warning sign if the average temperature is above 38.0 C.
We will not use any deep learning or any other complex algorithms. Just use simple image processing methods such as :
Ÿ InRange, Morphology, Filtering, findContour
Ÿ Refer to [Tutorial: Color Image Segmentation] for programming tips
Download the source Video file: Click here
Recommendation: use the program code given in [Tutorial:color segemtation]
Analyze the color space of the raw image. You can use either RGB or HSV space
Apply necessary pre-processing, such as filtering.
By using InRange(), segment the area of ROI: exposed skin (face and neck) that are not covered by cloth and mask. You must use inRange of all 3-channels of the color image.
Apply post-processing such as morphology to enhance the object segmentation.
Use findContours() to detect all the connected objects
Select only the proper contour around the face. (Hint: can use the contour area)
Then, draw the final contour and a box using drawContours( ), boundingRect(), rectangle( )
Need to show example results of each process.
The intensity value of the image is the temperature data scaled within the pre-defined temperature range. Use the intensity value to estimate the temperature.
Analyze the intensity values(grayscale, 0-255) of the given image.
The actual temperature for this lab is ranged from 25(I=0) to 40 C (I=255).
Estimate the (1) maximum temperature and (2) average tempearture within ONLY the segmented area (Contour Area)
For average tempeature, use the data within the Top 5% of the tempeature in Descending order.
Hint: cv∷sort( ) in SORT_DESCENDING
Show the result as TEXT on the final output image.
Hint: cv∷putText( )
Your final output should be similar to result of the the Demo_Video.
You are required to write a consice lab report and submit the program files and the demo video.
Lab Report:
Show what you have done with concise explanations and example results of each necessary process
In the appendix, show your source code.
Submit in both PDF and original file (*.docx etc)
No need to print out. Only the On-Line submission.
Demo Video:
Create a demo video with a title page showing the course name, data and your names
Submit in Hisnet
Source Code:
Zip all the necessary source files.
Only the source code files. Do not submit image files, project files etc.