Imaging Control Apparatus Gesture Angle-of-View Adjustment
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Solution Overview
Problem
Conventional camera control systems fail to dynamically adjust the angle of view based on a person's gestures in real-time, leading to suboptimal image capture.
Innovation Solution
An imaging control apparatus that includes an input unit, a gesture detection unit, a first determination unit, and a control unit to detect and analyze gestures, determining whether they are predetermined and adjusting the camera's angle of view accordingly, ensuring the person and pointed regions remain within the frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera angle of view is adjusted based on every detected gesture, then the image capture accuracy is improved, but the system responsiveness deteriorates due to continuous processing requirements
Solution Approach 1:
The system dynamically adjusts the angle of view based on gesture continuity detection. When a gesture is determined to be continuous (persisting across multiple detection cycles), the angle of view is adjusted accordingly. This dynamic approach allows the system to differentiate between transient movements and intentional gestures, improving image capture accuracy while avoiding unnecessary adjustments for momentary movements, thus maintaining system responsiveness.
Solution Approach 2:
The system performs preliminary gesture detection and continuity verification before executing angle of view adjustment. By detecting gestures over multiple time points and determining continuity beforehand, the system prepares for adjustment only when confident a valid gesture is present. This preliminary action prevents premature or incorrect adjustments, improving accuracy while reducing the frequency of unnecessary processing cycles.
2Measurement precision
If gesture detection sensitivity is increased to capture subtle gestures, then the gesture recognition accuracy is improved, but the false detection rate increases
Solution Approach 1:
The system uses feedback from multiple detection cycles to verify gesture validity. When a gesture is detected, the system continues monitoring to determine if the gesture persists across subsequent time points. This feedback mechanism allows the system to confirm intentional gestures while filtering out random movements or noise, thereby improving gesture recognition accuracy without significantly increasing false detection rates.
Solution Approach 2:
The system dynamically adjusts detection thresholds based on gesture continuity. By requiring gestures to persist across multiple detection cycles, the system effectively raises the threshold for what constitutes a valid gesture. This dynamic thresholding maintains high sensitivity for genuine gestures while automatically filtering out transient false detections, balancing recognition accuracy with reliability.
Data Source
AI summary
An imaging control apparatus detects a gesture of a person in an image and motion information of the gesture. The imaging control apparatus firstly determines whether the detected gesture is a gesture requiring an angle-of-view change. In a case where the detected gesture is the gesture requiring an angle-of-view change, the imaging control apparatus secondly determines whether a time elapsed since the last time a gesture requiring an angle-of-view change is made is within a predetermined time. The imaging control apparatus generates a pan operation command to change an angle of view based on the second determination result.