Image Processing Apparatus Detection Area Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing systems face challenges in easily and appropriately setting the size of detection areas for images of varying sizes, which is necessary for accurate detection of objects such as people in images or videos.
Innovation Solution
An image processing apparatus with a setting unit to establish a first detection area in one image and a modification unit to adjust this area based on the size of another image, allowing for the creation of a second detection area that is appropriate for the different image size, enabling detection of objects across images of varying dimensions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a detection area is manually set for each image of varying sizes, then detection accuracy is improved, but operation complexity and time consumption increase
Solution Approach 1:
The system performs preliminary action by automatically setting detection areas for images of varying sizes based on a reference detection area from a first image. The modification unit pre-calculates and sets appropriate detection areas for multiple images before actual object detection begins, eliminating the need for manual setting in each image while maintaining detection accuracy.
2Productivity
If detection areas are automatically set based on image size, then operation efficiency is improved, but detection precision may deteriorate
Solution Approach 1:
The modification unit changes parameters by automatically adjusting the detection area size and position parameters based on the relationship between the first image size and second image size. This parameter transformation maintains the proportional relationship of the reference detection area, ensuring detection precision is preserved while achieving automatic operation efficiency.
3Device complexity
If a fixed detection area is used across all images, then device complexity is reduced, but adaptability to different image sizes deteriorates
Solution Approach 1:
The modification unit implements universality by creating a multi-functional system that can handle images of various sizes using a single reference detection area. The unit universally applies size transformation logic to adapt the detection area to any target image, making the system versatile across different image dimensions without requiring separate detection area settings for each image size.
Data Source
AI summary
An image processing apparatus sets a first detection area as a detection area for detecting a predetermined object in a first image, modifies the first detection area based on a size of the first image and a size of the second image different from the size of the first image to set a second detection area as the detection area in the second image, and detects the predetermined object in the second detection area.