Thermal Motion Detection via Shadow Region Removal
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Solution Overview
Problem
Current image monitoring technologies struggle to accurately detect motion in thermal images due to the presence of shadows caused by heat transfer from moving objects, which are not effectively addressed in existing infrared light image technologies.
Innovation Solution
A motion detecting system that learns the size and brightness of shadows based on temperature characteristics of a reference object, allowing it to identify and remove shadow regions from thermal images, thereby enhancing the accuracy of motion detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If thermal imaging is used to detect motion in dark conditions, then detection capability in darkness is improved, but shadow regions caused by heat transfer reduce measurement precision
Solution Approach 1:
The patent segments the thermal image into multiple regions: object region, shadow region, and background region. By dividing the image and analyzing each region separately, the system can identify and exclude shadow regions from motion detection, thereby resolving the contradiction between maintaining darkness detection capability and improving motion detection accuracy.
Solution Approach 2:
The patent introduces temperature distribution analysis as an intermediary mechanism to identify shadow regions. By analyzing the thermal characteristics and temperature gradients in the image, the system can distinguish shadow regions caused by heat transfer from actual moving objects, allowing accurate motion detection while preserving darkness detection capability.
2Measurement precision
If shadow regions are removed from thermal images, then motion detection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent performs preliminary analysis of temperature distribution and shadow region identification before motion detection. By pre-processing the thermal image to identify and mask shadow regions in advance, the system simplifies the subsequent motion detection process while maintaining high accuracy, thus resolving the contradiction between improved precision and system complexity.
Solution Approach 2:
The system uses the inherent thermal characteristics of shadow regions (temperature differences, spatial distribution patterns) to automatically identify and remove them. This self-service approach eliminates the need for complex external shadow removal mechanisms, achieving accurate motion detection with minimal additional system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system significantly improves the detection accuracy of moving objects by distinguishing and removing shadow regions generated by heat transfer, allowing for more precise monitoring even in thermal images.
Implementation Method 1
thermal observation devices sense light having a longer wavelength than visible light and display the light as an image
Implementation Method 2
shadow by heat generated due to heat of the target object which is transferred to a background of the thermal image
Data Source
AI summary
A method and system for detecting a motion of a target object in a thermal image by removing a shadow by heat of the target object from the thermal image. The motion detecting system includes: a learning unit obtaining at least one of size and brightness of a shadow by heat of a reference object based on characteristics of the shadow by heat of the reference object by temperature; and a detecting unit removing a shadow region of the target object from the thermal image including the target object based on at least one of the size and the brightness of the shadow by heat of the object.