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Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

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When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
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IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

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Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
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Association Areas of the Cortex01:21

Association Areas of the Cortex

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
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IR Spectrometers01:25

IR Spectrometers

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There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
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IR Spectrum01:19

IR Spectrum

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When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
Transmittance is defined as the ratio of the radiant power passing through a sample to that from the radiation's source. Multiplying the transmittance by 100 gives the percent transmittance (%T), which varies between 100% (no absorption) and 0%...
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Related Experiment Video

Updated: Apr 26, 2026

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
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Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

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Trends in correlation-based pattern recognition and tracking in forward-looking infrared imagery.

Mohammad S Alam1, Sharif M A Bhuiyan2

  • 1Department of Electrical and Computer Engineering, University of South, Alabama Mobile, AL 36688-0002, USA. malam@southalabama.edu.

Sensors (Basel, Switzerland)
|July 26, 2014
PubMed
Summary

This review covers advancements in correlation-based pattern recognition for forward-looking infrared (FLIR) imagery. It analyzes matched filters like MACH and DCCF for real-time target detection and tracking in FLIR sequences.

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Area of Science:

  • Computer Vision
  • Infrared Imaging
  • Pattern Recognition

Background:

  • Forward-looking infrared (FLIR) imagery is crucial for real-time applications.
  • Correlation-based pattern recognition is a key technique for analyzing FLIR data.
  • Effective target detection and tracking in FLIR are challenging due to image characteristics.

Purpose of the Study:

  • To review recent trends and advancements in correlation-based pattern recognition for FLIR imagery.
  • To discuss the application of matched filter-based correlation techniques for target detection and tracking.
  • To analyze and present test results of advanced matched filters in real-life FLIR sequences.

Main Methods:

  • Review of recent literature on correlation-based pattern recognition in FLIR.
  • Discussion of matched filter techniques, including Maximum Average Correlation Height (MACH) filter and Distance Classifier Correlation Filter (DCCF) variants.
  • Analysis and presentation of test results using real-life FLIR image sequences for single/multiple target detection and tracking.

Main Results:

  • Evaluation of MACH filter and DCCF variants performance in FLIR target detection and tracking.
  • Demonstration of the effectiveness of these filters in various real-life FLIR scenarios.
  • Comparative analysis of different matched filter approaches for specific FLIR applications.

Conclusions:

  • Correlation-based pattern recognition, particularly with advanced matched filters, shows significant promise for FLIR target detection and tracking.
  • MACH and DCCF filters offer robust solutions for real-time applications using FLIR imagery.
  • Further research into matched filter variants can enhance performance in complex FLIR environments.