Region Calibration for Multi-Camera Image Tagging Accuracy
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Solution Overview
Problem
Existing image collection systems suffer from inefficiencies and reduced accuracy due to the presence of irrelevant information in collected images, which interferes with analysis and processing tasks.
Innovation Solution
A region calibration method that involves displaying a scene image, allowing user-drawn candidate regions, determining non-overlapping calibrated regions, and associating these regions with image collection apparatuses to exclude irrelevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If image collection apparatus collects images of entire target scene, then coverage area is improved, but irrelevant information increases causing interference in analysis
Solution Approach 1:
The patent divides the target scene into multiple calibrated regions, each associated with a specific image collection apparatus. This segmentation allows the system to process only relevant portions of images, excluding irrelevant information while maintaining comprehensive coverage through the collective scope of multiple segmented regions.
Solution Approach 2:
The patent applies different processing qualities to different regions by calibrating specific areas of interest within the target scene. Each calibrated region receives focused processing resources, while non-calibrated regions are excluded from analysis, thereby improving analysis accuracy without sacrificing overall coverage.
2Measurement precision
If region calibration is performed to exclude irrelevant information, then analysis accuracy is improved, but processing time for region determination increases
Solution Approach 1:
The patent performs region calibration in advance before actual image analysis tasks. By pre-determining calibrated regions and their associations with image collection apparatuses, the system avoids time-consuming region determination during real-time analysis, thus improving processing speed while maintaining high accuracy.
3Productivity
If multiple calibrated regions are determined for different image collection apparatuses, then analysis efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal region calibration framework that can be applied across multiple image collection apparatuses simultaneously. The same calibration methodology and data structures are used for all apparatuses, allowing the system to handle multiple calibrated regions through a unified approach rather than requiring separate complex systems for each device.
Data Source
AI summary
A region calibration method includes: displaying a scene image collected by each of at least one first image collection apparatus located in a target scene, wherein the first image collection apparatus is used for performing image collection on part or all of regions in the target scene; displaying a candidate region selected by region drawing operation in a simulated image for simulating the target scene in response to the region drawing operation performed on the scene image; determining a calibrated region corresponding to each of a plurality of first image collection apparatuses based on the candidate region corresponding to each of the first image collection apparatuses; and respectively associating a plurality of calibrated regions with the plurality of first image collection apparatuses to indicate identification of objects to be identified in image regions framed by the calibrated regions in images collected by the first image collection apparatuses.