Imaging Device Group Detection Using Face Orientation
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Solution Overview
Problem
Conventional imaging devices face challenges in determining relationships between objects in a group based solely on distance, particularly when individuals are close to each other and oriented in specific ways, such as back-to-back, making it difficult to form accurate groups in captured images.
Innovation Solution
An imaging device equipped with an imaging unit, face recognition unit, and group detection unit that recognizes faces, detects their directions and positions, and forms groups based on adjacent face orientations, allowing for improved group detection and focused imaging operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If group detection is based solely on distance between objects, then the detection method is simple, but the detection accuracy deteriorates when individuals are closely positioned and oriented in complex ways
Solution Approach 1:
The patent changes the detection parameters from solely distance-based to include both distance and orientation information. By introducing orientation as an additional parameter, the system can accurately detect groups even when individuals are closely positioned but facing different directions, resolving the contradiction between detection accuracy and method simplicity.
Solution Approach 2:
The patent adds an orientation dimension to the traditional distance-based detection approach. By considering both the spatial distance and the directional orientation of individuals, the system creates a more comprehensive detection framework that accurately identifies groups in complex arrangements without excessive complexity.
2Measurement precision
If face recognition is used to identify objects, then the identification accuracy is improved, but the processing time increases
Solution Approach 1:
The patent extracts and utilizes specific facial features (such as the direction and position of eyes, nose, and mouth) rather than performing complete face recognition processing. This selective extraction of critical features maintains identification accuracy while significantly reducing processing time compared to full face recognition algorithms.
Data Source
AI summary
An imaging device includes an imaging unit configured to image an object and output a captured image, a face recognition unit configured to recognize a face included in the captured image and detect a direction and a position of the recognized face, and a group detection unit configured to detect a group formed by the faces included in the captured image based on directions and positions of two faces being adjacent to each other among the faces included in the captured image.