Stripe Pattern Effectiveness Determination for Motion Tracking
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Solution Overview
Problem
In motion tracking systems using rolling shutter image sensors, incomplete stripe patterns caused by flashing light sources reaching the sensor edges lead to interference in image recognition, affecting the accuracy of gesture tracking and human-machine interaction.
Innovation Solution
A method to determine the effectiveness of a stripe set by obtaining connected domains in a binary image, selecting a target connected domain, calculating the center of the stripe pattern, and assessing whether the stripe set is effective based on the center, using techniques such as binarization, filtering, and thresholding to distinguish between stripe patterns and background noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a rolling shutter image sensor is used to capture flashing light sources for motion tracking, then the tracking capability is enabled, but incomplete stripe patterns occur when light sources reach sensor edges
Solution Approach 1:
The patent divides the image processing into multiple stages: raw image acquisition, binarization to obtain binary images, connected domain extraction, and effectiveness determination. This segmentation allows each stage to focus on specific tasks, with the effectiveness determination stage specifically addressing the completeness issue of stripe patterns by evaluating whether extracted connected domains represent valid complete stripes.
Solution Approach 2:
The patent performs preliminary binarization and connected domain extraction before final stripe pattern recognition. By pre-processing the image to identify potential stripe regions as connected domains and evaluating their effectiveness beforehand, the system prepares valid data for subsequent motion tracking, ensuring that only complete and valid stripe patterns are used.
2Productivity
If incomplete stripe patterns are present in the raw image, then image recognition accuracy deteriorates, but the rolling shutter sensor continues to capture data
Solution Approach 1:
The patent extracts connected domains from the binary image that correspond to potential stripe patterns. By isolating these connected domains and evaluating their effectiveness separately from the rest of the image data, the system can identify and exclude incomplete or invalid stripe patterns, thereby improving recognition accuracy without reducing the overall data capture rate.
Solution Approach 2:
The patent converts the potentially harmful effect of incomplete stripe patterns into a benefit by using the connected domain extraction and effectiveness determination process. Invalid or incomplete stripes are identified through their connected domain characteristics and filtered out, while valid complete stripes are selectively used for motion tracking, thereby transforming the mixed-quality data into a refined dataset.
3Measurement precision
If all connected domains are processed for stripe pattern recognition, then recognition coverage is maximized, but computational complexity increases
Solution Approach 1:
The patent applies different processing criteria to different connected domains based on their local characteristics. The effectiveness determination evaluates each connected domain's position, shape, and connectivity properties locally to decide whether it represents a valid stripe pattern. This localized evaluation approach maintains high recognition coverage by examining relevant features while avoiding unnecessary processing of obviously invalid regions.
Data Source
AI summary
The present application provides a method and device for searching stripe set and a system with the same. Wherein, the method includes: a plurality of first connected domains are obtained in the binary image. A target connected domain is selected from the plurality of first connected domains. The stripe set based on the target connected domain is determined to determine a stripe pattern. A center of the stripe pattern is calculated according to the target connected domain of the stripe set. Whether the stripe set is an effective stripe set is determined based on the center of the stripe pattern. The method can eliminate the impact of incomplete stripe pattern on the image and improve the accuracy of recognition.