Linked Camera Tracking via Position and Orientation Data
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Solution Overview
Problem
Existing surveillance camera systems require extensive presetting of panning, tilting, and zooming values for multiple cameras, which is time-consuming and costly, and they cannot effectively surveil areas without predefined settings, limiting their ability to respond to dynamic events or objects.
Innovation Solution
A surveillance camera system that calculates and adjusts the movement of linked cameras using position and orientation data to intelligently and actively surveil objects by controlling panning, tilting, and zooming based on the detected object's location, allowing for real-time tracking and coverage of wide areas without pre-defined presets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If extensive presetting of panning, tilting, and zooming values is performed for multiple cameras, then the surveillance coverage and tracking capability are improved, but the time and cost required for system configuration increase significantly
Solution Approach 1:
The system enables cameras to automatically determine their own movement parameters by detecting the position of detected objects and calculating the required panning, tilting, and zooming adjustments based on the object's location relative to the camera's current view, eliminating the need for manual presetting of these parameters
Solution Approach 2:
The system dynamically adjusts camera parameters (panning angle, tilting angle, zoom level) based on real-time detection results and calculated movement amounts, allowing the cameras to adapt their surveillance parameters automatically rather than relying on fixed pre-configured values
2Ease of operation
If predefined settings are used for camera operation, then the system setup is simplified, but the ability to respond to dynamic events and objects is limited
Solution Approach 1:
The system transitions from static preconfigured camera settings to dynamic real-time adjustment, where camera parameters are continuously updated based on detected object positions and calculated movement amounts, enabling the system to adapt to changing surveillance needs automatically
Solution Approach 2:
The system uses feedback from object detection results to automatically calculate and execute camera movement adjustments, creating a closed-loop control system that responds to detected objects and events in real-time without requiring manual reconfiguration
3Adaptability or versatility
If multiple cameras are linked to surveil objects from different angles, then the surveillance intensity and coverage are improved, but the complexity of coordinating camera movements increases
Solution Approach 1:
The system employs a unified control architecture where a single controller manages all linked cameras, providing standardized commands for panning, tilting, and zooming operations to multiple cameras simultaneously, simplifying coordination while maintaining intensive surveillance coverage
Solution Approach 2:
The controller acts as an intermediary between the detection system and the cameras, calculating movement amounts based on object positions and translating these into coordinated control commands for multiple cameras, thereby reducing the complexity of direct camera-to-camera coordination
Data Source
AI summary
Provided is a surveillance camera system for controlling cameras by calculating a movement amount of the cameras based on position information and orientation information of the cameras and position information of an object being surveilled. The surveillance camera system includes: a camera receiving an image from a surveillance area; a driving device combined with the camera, wherein the driving device moves the camera; and a camera controller controlling the driving device by using initial coordinates defined with a position and an azimuth at which the camera is installed and a current direction of the camera, so that the camera faces a target position.