Image Processing Apparatus Subject Tracking ID Update
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Solution Overview
Problem
Automatic tracking techniques using PTZ cameras often fail when a tracking target crosses another object, resulting in the target being lost and tracking being disrupted.
Innovation Solution
An image processing system that detects subjects in frames, updates the tracking target's identification information if the detected subject's ID changes, allowing the system to continue tracking even after the target is temporarily obscured.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic tracking is performed using a PTZ camera, then tracking of the subject can be automated, but the tracking target is lost when it crosses another object
Solution Approach 1:
The system performs preliminary actions by detecting subject disappearance in advance and proactively searching for reappeared subjects before tracking is fully lost. When the tracked subject disappears from the detection range, the system doesn't immediately give up tracking but actively searches for the subject when it reappears, maintaining tracking continuity throughout the process.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring whether the tracked subject appears in detection results and adjusting tracking behavior accordingly. When the subject reappears after disappearing, the system receives feedback about the subject's return and automatically resumes tracking, creating a closed-loop control system that maintains reliable continuous tracking.
2Ease of operation
If the tracking target crosses another object, then occlusion occurs, but the subject detection fails and tracking is disrupted
Solution Approach 1:
The system performs preliminary actions by detecting subject disappearance in advance and proactively searching for reappeared subjects before tracking is fully lost. When the tracked subject disappears from the detection range, the system doesn't immediately give up tracking but actively searches for the subject when it reappears, maintaining tracking continuity throughout the process.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring whether the tracked subject appears in detection results and adjusting tracking behavior accordingly. When the subject reappears after disappearing, the system receives feedback about the subject's return and automatically resumes tracking, creating a closed-loop control system that maintains reliable continuous tracking.
3Reliability
If the subject reappears after being obscured, then tracking can be restored, but the subject may be assigned new identification information causing tracking loss
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring whether the tracked subject appears in detection results and adjusting tracking behavior accordingly. When the subject reappears after disappearing, the system receives feedback about the subject's return and automatically resumes tracking, creating a closed-loop control system that maintains reliable continuous tracking.
Solution Approach 2:
The system applies parameter changes by modifying the subject identification parameters when the tracked subject reappears. Instead of treating the reappeared subject as a completely new object with new ID, the system recognizes it as the same subject and maintains or restores the original identification information, ensuring continuous tracking without ID switching.
Data Source
AI summary
An image processing apparatus comprises one or more memories storing instructions and one or more processors that execute the instructions to detect subjects from a frame, and if no subject having same identification information as identification information of a tracking target subject is detected from a first frame, and identification information of subjects detected from the first frame includes new identification information different from identification information of subjects detected from a second frame, which is a frame before a timing at which the tracking target subject is no longer detected, update the identification information of the tracking target subject to the new identification information.


