Multi-Camera Subject Tracking via Depth Map Analysis
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Solution Overview
Problem
Digital photographing apparatuses with multiple cameras struggle to automatically switch between wide-angle and telephoto images to accurately track and capture moving subjects without user intervention, leading to suboptimal image composition and focus.
Innovation Solution
Incorporating a processor that captures wide-angle and telephoto images simultaneously, detects motion information using depth maps, and automatically switches between the two based on subject speed and direction to maintain optimal focus and composition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a plurality of cameras with different focal lengths is used to capture images at various distances, then image quality at various distances is improved, but automatic switching between cameras without user manipulation is difficult to achieve
Solution Approach 1:
The system uses depth information from depth maps as feedback to automatically determine which camera should be active. The processor analyzes the depth map to identify the main subject and its distance, then switches between wide-angle and telephoto cameras based on this feedback, achieving automation without user intervention.
Solution Approach 2:
The system performs self-service by automatically selecting and switching between cameras based on its own analysis of the scene. The processor independently evaluates depth information and motion information to determine the optimal camera configuration, eliminating the need for user input or manual switching.
2Measurement precision
If manual user manipulation is required to switch between wide-angle and telephoto images, then camera control precision is improved, but operation convenience deteriorates
Solution Approach 1:
The system allows the camera system to serve itself by automatically selecting between wide-angle and telephoto modes based on depth map analysis. The processor independently determines the main subject and switches cameras without requiring user manipulation, thereby improving ease of operation while maintaining control precision through algorithmic accuracy.
3Measurement precision
If the second camera is controlled to move to track the main subject, then subject tracking accuracy is improved, but device complexity increases
Solution Approach 1:
The system implements dynamics by enabling the second camera to move and track the main subject dynamically. Based on motion information detected from depth maps, the processor controls the second camera to follow the subject's movement, achieving high tracking accuracy while adapting to changing scene conditions.
Data Source
AI summary
A digital photographing apparatus includes: a first camera configured to acquire a wide-angle image including a main subject, a second camera configured to capture a telephoto image having the main subject zoomed in with respect to the wide-angle image; and a processor configured to acquire motion information of the main subject based on the wide-angle image and the telephoto image and configured to determine one of the wide-angle image and the telephoto image as a main image based on the motion information.