Imaging Apparatus Motion Detection Under Flicker Light
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Solution Overview
Problem
Existing imaging systems face challenges in accurately detecting the motion of objects under flicker light sources due to long sampling intervals and differences in exposure times required for photometry and motion vector detection, leading to reduced accuracy and potential image blurring.
Innovation Solution
The implementation of an imaging apparatus with a processing unit that performs photometric processing and flicker light source detection using a shortened sampling interval, allowing for high-accuracy motion detection by calculating motion vectors from continuously acquired image signals while accounting for the flicker phenomenon.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a long sampling interval is used for motion detection, then the processing load is reduced, but the motion detection accuracy decreases
Solution Approach 1:
The patent divides the image processing into two separate processing paths: one for photometry with longer exposure time and one for motion detection with shorter exposure time and higher sampling rate. This segmentation allows each path to be optimized independently, enabling high-accuracy motion detection without increasing overall processing load.
Solution Approach 2:
The patent dynamically adjusts the sampling rate and exposure time based on the detection target and shooting conditions. By making these parameters adaptable rather than fixed, the system can optimize motion detection accuracy for moving objects while maintaining efficient processing for static scenes.
2Measurement precision
If different exposure times are used for photometry and motion vector detection, then each function is optimized, but the system complexity increases
Solution Approach 1:
The patent uses the same imaging unit for both photometry and motion detection functions. By making the imaging unit multi-functional rather than having separate sensors, the system achieves optimized performance for both functions while avoiding the complexity of multiple dedicated components.
Solution Approach 2:
The system dynamically switches between different exposure times and sampling rates depending on whether photometry or motion detection is the primary function. This dynamic parameter adjustment allows optimized performance for each function without requiring permanently separate hardware paths.
3Measurement precision
If the number of samplings within a certain period is increased, then motion detection accuracy improves, but the processing load increases
Solution Approach 1:
The patent segments the processing by dedicating specific high-speed sampling paths only to motion detection regions, while other regions use lower sampling rates. This selective segmentation increases motion detection accuracy where needed without proportionally increasing overall processing load.
Solution Approach 2:
The system applies different sampling rates and processing intensities to different regions of the image based on motion characteristics. Regions with detected motion receive higher sampling rates and more intensive processing, while static regions use lower rates, optimizing the balance between accuracy and processing load.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables precise motion detection of objects even under flicker light sources, reducing image blurring and maintaining real-time processing capabilities by optimizing exposure times and comparison areas in image analysis.
Implementation Method 1
an imaging unit for imaging an object and acquiring an image signal
Data Source
AI summary
An imaging apparatus includes a photometric sensor, and can continuously acquire a plurality of images by a single imaging operation. A CPU for image processing and an arithmetic operation acquires image data output by a photometric sensor and performs photometric processing. The CPU determines presence or absence of a flicker light source using a plurality of pieces of acquired image data, and calculates a motion vector of an object by comparison of image data. If it is determined that there is a flicker light source in a photographing environment, gain adjustment is performed on the basis of a result of flicker detection so as to have a brightness of an image suitable for detection of a motion vector, and the motion vector is calculated using image data after gain adjustment.