Camera Field-of-View Tracking Using Object-Identifying Light Codes
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Solution Overview
Problem
Current camera systems face challenges in efficiently tracking objects within a field-of-view, especially when multiple objects with distinct identifying codes need to be concurrently monitored, as existing methods lack precise alignment and tracking capabilities.
Innovation Solution
A method involving a camera device with a tracking controller that captures sequences of images, detects light sources producing object-identifying codes, and adjusts the field-of-view by generating control signals to align these light sources with a target position, utilizing both local and remote light emitters and reflective materials for enhanced detection and tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple objects with distinct identifying codes are concurrently tracked, then object identification capability is improved, but system complexity increases
Solution Approach 1:
The patent assigns distinct identifying codes to different objects, segmenting the tracking task into individual object identification streams. Each object is detected and tracked independently through its unique code, allowing multiple objects to be monitored concurrently without conflating their tracking data
Solution Approach 2:
The patent introduces an intermediary code structure that bridges objects and the camera system. These identifying codes act as mediators that carry object-specific information through the imaging pipeline, enabling the system to distinguish and track multiple objects without requiring complex direct tracking mechanisms for each object
2Measurement precision
If light sources are aligned with target position in field-of-view, then tracking precision is improved, but adjustment time increases
Solution Approach 1:
The patent performs preliminary detection of light sources producing identifying codes before final alignment. By detecting candidate light sources in advance and pre-calculating alignment requirements, the system reduces the time needed for final precise positioning while maintaining tracking accuracy
Solution Approach 2:
The patent implements a feedback mechanism where the camera system continuously monitors the position of light sources relative to the target position in the field-of-view. Based on this feedback, the system generates control signals to adjust the field-of-view alignment, creating a closed-loop control system that balances precision with response time
3Duration of action of stationary object
If continuous image capture is maintained during object movement, then tracking continuity is improved, but data processing load increases
Solution Approach 1:
The patent extracts only the identifying codes from continuous image data rather than processing entire images for each frame. By isolating and tracking the light source codes that carry object identification information, the system maintains continuous tracking while dramatically reducing the computational burden of processing full image sequences
Solution Approach 2:
The patent applies partial action by focusing computational resources only on detecting and tracking light sources that produce identifying codes, rather than analyzing all visual content in continuous images. This selective approach maintains tracking continuity for objects of interest while avoiding unnecessary processing of irrelevant scene elements
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 precise and concurrent tracking of multiple objects by aligning light sources with the camera's field-of-view, ensuring accurate object identification and continuous image capture without disruption, even when objects move within the scene.
Implementation Method 1
utilizing both local and remote light emitters and reflective materials for enhanced detection and tracking
Data Source
AI summary
A method for object tracking. The method includes capturing a sequence of images of a scene, detecting, by a hardware processor based on a pattern of local light change across the sequence of images, a light source in the scene, comparing, by the hardware processor in response to detecting the light source, a location of the light source in at least one image of the sequence of images and a target position within the at least one image to generate a result, and generating, by the hardware processor based on the result, a control signal for changing a field-of-view of a camera device such that the light source substantially aligns with the target position within the field-of-view, wherein the light source is configured to produce an object-identifying code.