Smart TV Depth Map Operator Identification
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Solution Overview
Problem
Existing motion-sensing systems in Smart TVs struggle to accurately identify the main operator in a scene with multiple people, often leading to inaccuracy due to distance-based selection methods or increased system complexity when tracking user movements.
Innovation Solution
A method and system that generate depth maps of a target scene at multiple time points, compare differences to identify moving objects, and determine an effective operating area by defining a reference point and standard point, allowing for accurate control of electronic apparatuses even in crowded environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the operator is selected according to distance (closest person to Smart TV), then the system operation is simple, but the accuracy of operator identification deteriorates when passersby are present
Solution Approach 1:
The patent transitions from 2D image-based distance measurement to 3D depth map-based spatial measurement. By introducing depth information as an additional dimension, the system can accurately distinguish the actual operator from passersby based on their true spatial positions relative to the Smart TV, resolving the accuracy issue while maintaining operational simplicity.
Solution Approach 2:
The patent introduces depth maps as an intermediary element between the image capture device and the operator identification process. These depth maps provide accurate spatial information that mediates the selection of the effective operating area, enabling precise operator identification without complicating the overall system operation.
2Measurement precision
If every person in the background is defined as the operator, then operator identification coverage is complete, but system complexity and tracking requirements increase significantly
Solution Approach 1:
The patent extracts and focuses on the specific region where actual operation occurs by defining an effective operating area based on depth information. This extraction approach identifies only the relevant operator(s) within this area, eliminating the need to track and monitor all persons in the background, thus reducing system complexity while maintaining complete coverage of actual operators.
Solution Approach 2:
The patent applies different processing quality levels to different regions: high-precision depth-based analysis is applied specifically within the effective operating area, while peripheral regions receive minimal or no processing. This local quality approach ensures accurate operator identification where needed while minimizing overall system complexity.
3Measurement precision
If depth maps are generated and analyzed to identify moving objects and determine effective operating area, then operator identification accuracy is improved, but processing time and computational requirements increase
Solution Approach 1:
The patent performs preliminary generation of depth maps at multiple time points and pre-determination of the effective operating area before actual operator identification is needed. This preliminary action allows the system to have depth information and operating area boundaries ready, reducing real-time processing requirements and minimizing loss of time during actual operation.
Data Source
AI summary
An operating area determination method and system are provided. In the operating area determination method, a plurality of depth maps of a target scene is generated at several time points. At least two specific depth maps among the depth maps are selected and compared to identify a moving object in the target scene, and a position of the moving object in the target scene is defined as a reference point. A standard point in the target scene is obtained according to the reference point and a specific depth corresponding to the reference point. An effective operating area in the target scene is determined according to the reference point and the standard point for controlling an electronic apparatus.