Hand Gesture Recognition via Dynamic Region Segmentation
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Solution Overview
Problem
Existing image processing technologies face challenges in recognizing hand gestures at high speed and with high accuracy, often requiring large image processing and being prone to erroneous recognition due to environmental factors and the need to process the entire image.
Innovation Solution
An image processing apparatus that includes a hand shape recognition unit to detect the position and size of a hand with a specific shape, a determination region setting unit to set regions near the hand for gesture recognition, and a gesture recognition unit that monitors movement within these regions, allowing for precise and efficient gesture recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire image is set as a monitoring target to recognize hand gestures, then the gesture recognition coverage is improved, but the processing time increases and recognition speed decreases
Solution Approach 1:
The patent divides the image processing into two stages: first performing hand shape recognition to locate the hand region, then setting a determination region around the detected hand for gesture monitoring. This segmentation allows the system to process only relevant regions rather than the entire image, improving recognition speed while maintaining coverage.
Solution Approach 2:
The patent applies different processing quality to different regions: high-precision hand shape recognition is applied to locate the hand, then a determination region is set around it. This local quality approach ensures accurate gesture recognition within the determined region without requiring full-image processing, thus improving speed while maintaining recognition coverage.
2Measurement precision
If the entire image is processed to improve gesture recognition accuracy, then the recognition accuracy is improved, but the processing complexity increases
Solution Approach 1:
The patent segments the processing into hand shape recognition followed by gesture recognition in a determination region. This reduces processing complexity by avoiding full-image analysis while maintaining accuracy through focused regional processing.
Solution Approach 2:
The patent performs preliminary hand shape recognition to locate the hand before performing gesture recognition. This preliminary action simplifies subsequent processing by pre-identifying the relevant region, reducing overall processing complexity while maintaining recognition accuracy.
3Speed
If the region of a moving subject is used to recognize gestures, then the gesture recognition speed is improved, but erroneous recognition occurs due to environmental factors
Solution Approach 1:
The patent applies local quality by setting a determination region around the detected hand with specific spatial relationships. This ensures that only movements within the hand's vicinity are considered for gesture recognition, filtering out environmental movements while maintaining fast recognition speed.
Solution Approach 2:
The patent uses feedback by continuously monitoring whether the hand moves into the determination region and recognizing gestures based on this feedback. This feedback mechanism improves reliability by confirming hand presence and movement within the relevant region, reducing erroneous recognition while maintaining speed.
Data Source
AI summary
Provided is an image processing apparatus including a hand shape recognition unit that performs hand shape recognition on an input image to detect a position and a size of a hand with a specific shape in the input image, a determination region setting unit that sets a region in a vicinity of the hand on the input image as a determination region used to recognize a gesture performed using the hand, based on the position and the size of the hand, and a gesture recognition unit that recognizes the gesture by monitoring movement of the hand to the determination region.