Object Tracking via Light Source Detection for Region-of-Interest Analysis
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Solution Overview
Problem
Current image processing methods for analyzing objects in a scene require significant computing resources, as they often analyze the entire field-of-view, including areas outside the region-of-interest, which is inefficient and resource-intensive.
Innovation Solution
A method that captures a sequence of images with a light source attached to an object, detects the light source using a pattern of local light change, determines its location, and generates a region-of-interest based on this information and a dynamic model of the object, allowing for focused analysis and reducing the need to process unnecessary areas of the scene.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire field-of-view is analyzed to ensure complete object detection, then measurement precision is improved, but computing resources and processing time are excessively consumed
Solution Approach 1:
The patent divides the field-of-view into multiple regions and processes them independently. The image processing system segments the scene based on detected object locations, allowing different processing strategies to be applied to different regions. This segmentation enables the system to maintain high detection accuracy in regions of interest while reducing processing effort in less important areas, thus resolving the contradiction between measurement precision and productivity.
Solution Approach 2:
The patent applies different processing qualities to different parts of the image. High-resolution, computationally intensive analysis is applied only to regions containing detected objects or suspected object locations, while other regions receive minimal or no processing. This local quality approach ensures that measurement precision is maintained where needed while significantly improving overall processing efficiency by avoiding unnecessary computation in irrelevant areas.
2Measurement precision
If a light source is attached to track the object, then object tracking precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces a light source as an intermediary element attached to the object being tracked. This light source serves as a mediator between the object and the image processing system, providing a distinct visual marker that significantly enhances tracking accuracy. The light source acts as an intermediary that the detection algorithm can easily identify and follow, improving measurement precision while the added complexity is confined to this single, simple component rather than the entire system.
Data Source
AI summary
A method for analyzing an object. The method includes capturing, using a camera device, a sequence of images of a scene comprising a light source attached to a first element of a plurality of elements comprised in an object, detecting, by a hardware processor based on a pattern of local light change across the sequence of images, the light source in the scene, determining, by the hardware processor, a location of the light source in at least one image of the sequence of images, generating, by the hardware processor based on the location of the light source and a dynamic model of the object, a region-of-interest for analyzing the object, and generating an analysis result of the object based on the region-of-interest, wherein a pre-determined task is performed based on the analysis result.