Digital Camera Burst Mode Motion Analysis
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Solution Overview
Problem
Current digital camera burst image capture modes require users to manually set image capture settings, leading to unsatisfactory results due to unknown or unadjusted motion of moving objects, resulting in poor composite images.
Innovation Solution
A digital camera system that captures evaluation images to determine the motion of objects, adjusts the frame rate and other settings automatically to optimize image capture, ensuring proper spatial displacement of moving objects in composite images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If user manually sets image capture settings, then device complexity is reduced, but image quality deteriorates due to unknown motion characteristics
Solution Approach 1:
The system automatically analyzes motion characteristics of subjects in the scene and adjusts image capture settings without requiring manual user input. The camera performs self-diagnosis of the scene and self-adjustment of parameters such as frame rate, exposure time, and shutter speed based on detected motion, enabling the device to serve itself in optimizing capture settings.
Solution Approach 2:
The system captures preliminary images, analyzes motion characteristics from these images, and uses this feedback information to adjust capture settings before final image acquisition. This closed-loop feedback mechanism ensures that settings are optimized based on actual scene conditions rather than fixed predetermined values.
2Measurement precision
If frame rate is increased to capture fast motion, then motion analysis accuracy improves, but image capture speed deteriorates
Solution Approach 1:
The system dynamically adjusts the frame rate based on the detected motion characteristics of subjects in the scene. For fast-moving subjects, a higher frame rate is selected to accurately capture motion details. For slow-moving or stationary subjects, a lower frame rate is used to maintain efficient capture speed. This dynamic adaptation resolves the contradiction between measurement precision and productivity.
Solution Approach 2:
The system changes capture parameters including frame rate, exposure time, and shutter speed based on analyzed motion characteristics. By adjusting these parameters dynamically rather than using fixed values, the system optimizes both motion analysis accuracy and capture efficiency for different scene conditions.
3Extent of automation
If evaluation images are captured to determine motion, then image capture time increases, but automation level improves
Solution Approach 1:
The system performs preliminary actions by capturing evaluation images and analyzing motion characteristics before the actual image capture sequence. This preliminary analysis enables automatic determination of optimal capture settings, significantly improving the automation level. The time invested in preliminary evaluation is offset by eliminating the need for manual settings adjustment and ensuring optimal capture parameters are used from the start.
Data Source
AI summary
A digital camera having a burst image capture mode, comprising: an image sensor; an optical system; a data processing system; an image memory; and a program memory storing instructions configured to implement a method for capturing a sequence of digital images in the burst image capture mode. The instructions include: capturing two or more evaluation digital images of a scene that includes a moving object; analyzing the evaluation digital images to determine a rate of motion for the moving object; determining a frame rate responsive to the rate of motion for the moving object; initiating an image capture sequence; capturing a sequence of digital images; and storing a set of captured digital images corresponding to the determined frame rate in the image memory.