Image Synthesis Control for Moving Object Separation
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Solution Overview
Problem
Existing image processing technologies face challenges in controlling and synthesizing moving objects in electronic devices, particularly in managing overlapping or separation of objects during image capture and processing, which complicates image synthesis.
Innovation Solution
An electronic device method that detects motion objects, determines their separation or combination, and recommends a synthesis time point, allowing for precise control and synthesis of images by using a camera unit, control unit, and display unit to extract and display motion objects based on preset sequences or recommended time points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image processing technology tracks moving objects using a camera, then continuous operation of moving objects can be expressed, but overlapping or separation of moving objects occurs according to their displacement making it difficult to control image processing or image capturing for synthesis
Solution Approach 1:
The system performs preliminary detection of separation or combination events between moving objects before synthesis occurs. By detecting when objects separate or combine and determining their motion states in advance, the system can pre-select appropriate synthesis time points and control parameters, making the subsequent synthesis process more reliable and easier to control.
Solution Approach 2:
The system uses feedback from motion detection results to adjust synthesis parameters. By continuously monitoring object displacement and motion vectors, the system receives feedback about object separation or combination events and uses this information to dynamically control the synthesis process, improving both reliability and ease of operation.
2Loss of information
If multiple moving objects are captured and synthesized, then comprehensive image information is obtained, but the complexity of determining synthesis time points increases
Solution Approach 1:
The system segments the synthesis time point determination process into distinct stages: detecting separation or combination events, determining motion states of individual objects, and selecting synthesis time points based on preset sequences. This segmentation reduces the overall complexity by breaking down the complex determination process into manageable, automated steps while capturing comprehensive information about all moving objects.
Solution Approach 2:
The system performs self-service by automatically determining synthesis time points based on detected motion patterns and preset sequences. Rather than requiring manual intervention for each synthesis decision, the system autonomously analyzes object separation or combination events and selects appropriate synthesis moments, reducing operational complexity while maintaining information completeness.
Data Source
AI summary
A method for processing an image of an electronic device is provided, which includes detecting at least one motion object from image information. When there are two motion objects, determining whether the motion objects are separated from or combined with each other. At least one motion object is extracted the motion objects are separated from or combined with each other, determining whether or not there is a preset motion object synthesis sequence, and recommending a synthesis time point before and after a time point of separation or combination of the motion objects.