Gimbal Camera Face Tracking With Registered Target Priority
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Solution Overview
Problem
Existing gimbal camera systems lack advanced face recognition and tracking capabilities, particularly in distinguishing registered from unregistered faces, handling multiple faces, setting priorities, adjusting sensitivity, and maintaining tracking when the face is not visible, and providing flexible control modes.
Innovation Solution
A target tracking method and apparatus that utilizes face recognition to register and differentiate between registered and unregistered faces, allows multiple face tracking with priority settings, adjusts gimbal and camera sensitivity, and offers various control modes including transverse and longitudinal, using a gimbal camera with a driving unit and processor for precise control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If face recognition and tracking capabilities are added to gimbal camera systems, then target tracking accuracy is improved, but device complexity increases
Solution Approach 1:
The processor in the gimbal camera system performs multiple functions including face recognition, face tracking, and general image processing. By making the processor universal and capable of handling various tasks, the system achieves improved target tracking accuracy without adding separate dedicated hardware modules, thus managing device complexity.
Solution Approach 2:
The patent introduces an intermediate processing layer where the processor analyzes facial features and generates tracking data that guides gimbal movement. This intermediary processing step bridges the gap between simple image capture and complex tracking control, enabling accurate tracking while organizing system complexity into manageable stages.
2Adaptability or versatility
If multiple face tracking with priority settings is implemented, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary face recognition and registration before tracking begins. Faces are pre-identified and assigned priorities in advance, allowing the tracking system to efficiently manage multiple targets without real-time decision complexity. This preliminary classification simplifies the ongoing tracking control.
Solution Approach 2:
The patent changes the parameter of face priority levels to manage multiple tracking targets. By assigning different priority parameters to different faces, the system can adaptively adjust which faces are tracked and with what intensity, providing versatility while using a simple parameter-based control mechanism rather than complex multi-variable control.
3Ease of operation
If face registration and differentiation functions are added, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system provides self-service face registration by automatically detecting and registering faces in the captured images without requiring manual intervention. The processor autonomously identifies facial features, creates face records, and manages the face database, making the operation easy for users while consolidating processing complexity within the automated system.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and flexible face tracking, maintaining focus on registered individuals even when their faces are obscured, and allows for smooth image capture along predefined paths, enhancing user interaction and control.
Implementation Method 1
an image that is received through a camera included in the target tracking apparatus
Data Source
AI summary
Disclosed are a target tracking method and apparatus using a gimbal camera. The target tracking method may include recognizing a face of a person by analyzing an image that is received through a camera included in a target tracking apparatus, determining whether the recognized face is a registered face, providing a user interface for registering the recognized face when the recognized face is not the registered face, registering the recognized face when receiving a registration request for the recognized face through the user interface, and tracking the recognized face by controlling the rotation of the camera through a driving unit included in the target tracking apparatus when the recognized face is the registered face.


