User-Adjustable Threshold Tracking for Video Object Detection
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Solution Overview
Problem
Existing person tracking techniques face challenges in accurately tracking targets when they intersect with other individuals or objects, leading to incorrect identification or loss of tracking due to predefined frequency settings that do not align with user needs.
Innovation Solution
A tracking device that extracts image frames based on time and space threshold values, allowing users to set and update these values, enabling dynamic adjustment of the collation range for accurate tracking target identification and minimizing incorrect identifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the frequency of determining whether an object is a predetermined object is dynamically changed based on predefined rules, then the accuracy of determining the object is improved, but the ability to match user monitoring needs is worsened
Solution Approach 1:
The patent makes the determination frequency dynamically adjustable by users rather than following fixed predefined rules. The system allows users to freely set and modify the frequency of object determination based on their specific monitoring requirements, transforming a static rule-based system into a dynamic user-controlled system that adapts to different monitoring scenarios
Solution Approach 2:
The patent enables users to change the parameter of determination frequency according to their needs. By allowing direct user input and modification of the frequency parameter, the system can adapt to various monitoring situations (such as high-traffic periods requiring frequent checks versus low-traffic periods where less frequent checks suffice), resolving the contradiction between measurement precision and adaptability
2Extent of automation
If predefined rules are used to switch determination frequency, then automated operation is improved, but user-specific monitoring requirements are worsened
Solution Approach 1:
The patent empowers users to directly control and adjust the determination frequency themselves rather than relying on automated predefined rules. Users can manually set and modify parameters according to their specific monitoring needs, making the system serve user requirements directly without being constrained by automated decision-making that may not align with actual monitoring goals
Data Source
AI summary
A tracking device that includes a tracking unit that extracts image frames from video data based on a time threshold value that is a reference for extracting the image frames to be collated with a verification frame that is a verification target, detects a tracking target in the image frames, and sets a collation range for the tracking target based on a space threshold value that is a reference of the collation range for the tracking target, a display information generation unit that generates display information including a tracking image in which the collation range is associated with the tracking target in the image frames and an operation image for setting the time threshold value and the space threshold value, and a threshold value update unit that updates the space threshold value and the time threshold value with values set by the user who refers to the display information.