Motion Vector-Based Image Capture Triggering
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Solution Overview
Problem
Conventional digital photographing methods using predetermined intervals often fail to capture desired scenes effectively, as they do not account for the dynamic motion and interactions of objects within the frame.
Innovation Solution
A digital photographing method and apparatus that generate a frame image, locate objects, detect motion vectors, and determine if these vectors meet specific conditions such as distance, direction, and convergence/divergence, to generate an image capturing signal for optimal scene capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If consecutive photographs are taken using predetermined intervals, then the photographing process is simple and automated, but the desired scene may not be captured effectively
Solution Approach 1:
The system continuously monitors motion vectors of objects in consecutive frames and uses this feedback to dynamically adjust photographing timing. When motion vectors indicate that objects are approaching optimal capture conditions (e.g., contact, convergence, separation), the system triggers photographing at that precise moment rather than following a fixed interval schedule.
Solution Approach 2:
The photographing interval is transformed from a static predetermined value to a dynamic parameter that adapts based on real-time motion analysis. The system adjusts the timing between shots according to the actual motion states of objects, allowing the photographing process to respond flexibly to changing scene conditions.
2Measurement precision
If motion vector analysis is performed to determine optimal capture timing, then scene capture accuracy improves, but processing complexity increases
Solution Approach 1:
The frame image is divided into multiple blocks, and motion vectors are calculated independently for each block. This segmentation allows the complex motion analysis to be broken down into simpler, parallel computations, reducing overall processing complexity while maintaining high measurement precision.
Solution Approach 2:
Instead of analyzing the entire frame as a single unit, the system performs motion vector analysis on selected blocks or regions of interest. This partial action approach reduces the total computational load while still capturing the essential motion information needed for accurate timing determination.
3Adaptability or versatility
If multiple objects are tracked and their motion vectors analyzed, then the ability to capture interactions improves, but computational load increases
Solution Approach 1:
Motion vectors from multiple objects are merged and analyzed together to identify interaction patterns. By combining the motion information of multiple objects and evaluating their relative motions (convergence, divergence, contact), the system efficiently detects interactions without requiring separate complex analysis for each object pair.
Data Source
AI summary
A digital photographing method and apparatus include determining a motion vector of an object in a preview image, determining whether the motion vector meets a predetermined condition and, when it does, generating an image capturing signal to photograph a scene desired by a user.