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Estimating Departure Time Using Thermal Camera and Heat Traces Tracking Technique.

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This study introduces a thermalfoot model using thermal cameras to estimate departure times from heat traces left at crime scenes. The model shows high accuracy, aiding law enforcement in solving cases.

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Area of Science:

  • Forensic Science
  • Thermal Imaging Technology
  • Image Processing

Background:

  • Science and technology are crucial for solving complex cases.
  • Thermal cameras detect residual heat invisible to the naked eye.
  • Heat traces on floors can provide evidence of presence and departure times.

Purpose of the Study:

  • To develop a thermalfoot model for estimating departure times using thermal imaging.
  • To analyze the exponential decay of residual temperature based on Newton's Law of Cooling.
  • To validate the model's accuracy in forensic investigations.

Main Methods:

  • Acquiring thermal sequences of footprints using a thermal camera.
  • Processing thermal images into heat signals using algorithms.
  • Establishing the thermalfoot model based on observed temperature decay.
  • Conducting validation experiments and residual analysis.

Main Results:

  • Developed 107 thermalfoot models with correlation coefficients generally above 0.99.
  • Validation showed residuals between estimated and actual departure times within +/- 150 seconds.
  • Achieved reverse accuracy rates ranging from 71.96% to 11.21% depending on capture time.
  • Demonstrated effectiveness in estimating departure times, particularly within shorter time windows.

Conclusions:

  • The thermalfoot model effectively estimates departure times from thermal footprints.
  • This technology offers a valuable tool for law enforcement in crime scene investigations.
  • Further research can explore factors influencing model performance, such as ROI selection and environmental temperature.