Image Capture Apparatus Predictive Tracking for Shutter Lag Reduction
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Solution Overview
Problem
Existing image capturing technologies face challenges in quickly capturing still images of fast-moving objects, such as baseballs, due to the minimum time required between shutter release and image data readout, making it difficult for users to capture moments like a batter hitting a baseball at the desired time.
Innovation Solution
An image capturing apparatus and method that allows users to set a target position, track moving objects, estimate their position, and capture still images based on the estimated position, using information like object size, displacement, and frame rate, while adjusting focus and displaying guide lines and trajectories, and potentially adjusting frame rate to optimize capturing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If high-speed frame rate reading is used to capture fast-moving objects, then the ability to capture moving objects is improved, but the minimum shutter lag time remains and prevents capturing at the exact desired moment
Solution Approach 1:
The system performs preliminary tracking of the moving object to predict its future position and trajectory. By calculating the object's movement pattern in advance, the system can determine the optimal shutter release moment before the object reaches the desired capture point, thereby eliminating the effective shutter lag and capturing the exact moment desired.
2Measurement precision
If manual timing is used to capture specific moments, then capture precision is improved, but ease of operation deteriorates due to difficulty in timing
Solution Approach 1:
The system continuously provides feedback to the user through display elements showing the predicted capture moment, object trajectory, and timing information. This real-time feedback enables users to understand when the optimal capture moment will occur, making precise timing achievable without requiring expert manual judgment or complex operations.
3Measurement precision
If tracking and prediction algorithms are implemented, then capture accuracy at desired moments is improved, but device complexity increases
Solution Approach 1:
The system performs self-service by automatically tracking the moving object, calculating its trajectory, predicting future positions, and determining the optimal capture moment without requiring complex manual intervention. The apparatus uses its own sensor data and processing capabilities to serve the capture function, reducing the need for complex external control systems while maintaining high accuracy.
Data Source
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AI summary
Image capturing methods and image capturing apparatuses are provided. The image capturing method may include setting a target position of a live view image, tacking a moving object from the live view image, estimating a position of the moving object by using information on the tracked moving object, and capturing a still image based on the estimated position when the moving object is positioned on the target position of the live view image.