Target Tracking Apparatus Using Path-Based Camera Control
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Solution Overview
Problem
Current target tracking systems for cameras lack advanced features such as face recognition, multiple face tracking, priority setting, and automatic path adjustment, which limits their ability to smoothly follow subjects and capture high-quality images, especially in dynamic environments.
Innovation Solution
A target tracking method and apparatus that incorporates face recognition, allows for multiple face tracking, sets priorities for registered faces, adjusts camera rotation sensitivity, and automatically adjusts camera movement along predefined paths, using a gimbal system with a user interface for path progress indication and mode switching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If face recognition and multiple face tracking are implemented, then tracking precision is improved, but device complexity increases
Solution Approach 1:
The patent uses an intermediary processing system that includes a processor for face recognition and path determination, which mediates between the camera and the gimbal control system. This intermediary layer enables advanced tracking functionality while maintaining modular system architecture, resolving the contradiction between improved tracking precision and increased device complexity.
Solution Approach 2:
The tracking system is segmented into distinct functional modules: face recognition module, path determination module, and gimbal control module. This segmentation allows the system to implement complex face tracking capabilities while managing device complexity through modular design, where each module can be independently optimized and maintained.
2Ease of operation
If automatic path adjustment is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system implements self-service through automatic path determination and camera rotation control. The processor automatically determines the photographing path based on selected points and autonomously controls the gimbal to follow the path without requiring manual intervention, thereby improving ease of operation while the automated algorithms manage the inherent complexity.
Solution Approach 2:
The system performs preliminary action by pre-determining the photographing path based on user-selected points before actual photographing begins. This preliminary path planning enables the system to automatically guide the camera through the desired sequence of positions, simplifying operation while the path calculation algorithms handle the computational complexity.
3Reliability
If multiple recognition engines are used for peripheral area recognition, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple recognition engines into a unified recognition system that processes peripheral area features collectively. By combining the functionality of multiple engines and integrating their outputs through a single path determination algorithm, the system achieves improved reliability through redundant recognition capabilities while managing device complexity through unified system architecture.
Data Source
AI summary
Disclosed are a target tracking method and apparatus based on a path. The target tracking method may include displaying an image that is received through a camera included in a target tracking apparatus on a display included in the target tracking apparatus, setting two or more points based on the image displayed on the display, and tracking a path that is determined based on the two or more points by controlling a rotation of the camera through a driving unit included in the target tracking apparatus.