Dynamic Image Region Assignment for Flexible Camera Positioning
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Solution Overview
Problem
Conventional image processing systems that use images to output sounds restrict the position of the camera, distance between the player and the camera, and the standing position of the player, requiring fixed camera settings and sensitive lighting conditions, leading to operational difficulties and low robustness.
Innovation Solution
An image processing system that captures moving image data, specifies playing regions, detects specific images, assigns sounds to these regions, and outputs signals, allowing for flexible camera positioning and improved robustness by using a detecting component, assigning component, and signal outputting component, along with optional features like dividing, displaying, and action sensing components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pattern detection regions are assigned beforehand on the screen, then the system can detect specific patterns and produce sounds, but the camera position, distance, and player standing position are restricted
Solution Approach 1:
The patent transforms the fixed pattern detection regions into dynamic regions that are generated in real-time based on the actual captured image. The system divides the image into multiple regions dynamically and determines detection regions based on object positions and image characteristics, allowing the camera and player to move freely while maintaining detection accuracy.
Solution Approach 2:
The system changes the parameters of detection regions from fixed predetermined positions to variable positions determined by image analysis. It adjusts region boundaries, sizes, and locations based on detected objects and image features, enabling adaptability to different camera positions and player stances while preserving detection precision.
2Ease of operation
If input areas and tracking areas are assigned beforehand on the screen, then the system can recognize patterns and produce sounds, but the camera direction and player position are unequivocally set
Solution Approach 1:
The patent replaces static input areas and tracking areas with dynamic regions that adapt to the captured image content. The system generates detection regions based on real-time image analysis, allowing players to operate freely while maintaining ease of pattern recognition through adaptive region positioning.
Solution Approach 2:
The system performs preliminary image analysis and object detection to determine appropriate detection regions before pattern recognition occurs. This preliminary action of dividing the image and identifying objects enables the system to set up optimal detection regions dynamically, maintaining ease of operation without restricting camera positioning.
3Measurement precision
If a picture equivalent to a predetermined input area is drawn on the display device, then the system can recognize patterns, but the drawing region cannot be used as a playing region
Solution Approach 1:
The patent merges the detection region functionality with the playing region functionality. Instead of having separate drawn input areas that cannot be played, the system uses the same image regions for both detection and playing purposes, allowing players to interact with detected objects directly in the captured image areas.
Solution Approach 2:
The system extracts detection region definitions from predetermined drawn pictures and generates them dynamically from the captured image content itself. This extraction of the drawing requirement allows the entire image area to be used as a playing region while maintaining accurate pattern detection through dynamically generated detection regions.
4Measurement precision
If the picture pattern shape and color are fixed for detection, then the system can recognize specific patterns, but it cannot recognize variations under different lighting conditions
Solution Approach 1:
The patent changes the detection approach from fixed color and shape parameters to dynamic parameters determined by real-time image analysis. The system detects objects based on their positions, boundaries, and relative characteristics rather than predetermined colors and shapes, enabling reliable recognition under varying lighting conditions while maintaining detection accuracy.
Data Source
AI summary
An image processing system is provided. A region specifying component specifies one or more playing regions for generating predetermined sounds in an image represented by the moving image data that have been acquired by the acquiring component. A detecting component detects a specific image showing a specific subject existing in the image represented by the moving image data that have been acquired by the acquiring component. An assigning component assigns, for each of the playing regions that have been specified by the region specifying component, sounds to be outputted in a case where the specific image that has been detected by the detecting component overlaps those playing regions. A signal outputting component outputs signals representing the sounds that have been assigned to those playing regions by the assigning component, in a case where the specific image overlaps the playing regions.