Abandoned Item Detection and Person Tracking in Video Monitoring
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Solution Overview
Problem
Conventional image monitoring systems require manual and time-consuming processes for identifying individuals who have left abandoned items and tracking their movement, lacking real-time capabilities and user convenience.
Innovation Solution
An integrated image monitoring system comprising imaging devices, a monitoring server, and a user terminal, which automates the detection of abandoned items, identifies individuals, and tracks their movement by analyzing images using features like facial and clothing characteristics, and displays the results in a user-friendly format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual procedures are used for identifying persons who left abandoned items and tracking their movement, then system complexity is reduced, but user burden increases and real-time capability is lost
Solution Approach 1:
The patent combines the abandoned item detection system and the person search system into a single integrated monitoring system. The detection unit identifies abandoned items while the identification unit simultaneously identifies persons in the same image data, and the tracking unit automatically tracks the identified person's movement. This merging eliminates the need for separate manual operations in both systems, reducing user burden while the automation handles the complexity internally.
Solution Approach 2:
The monitoring system performs self-service by automatically identifying persons who left abandoned items and tracking their movement without requiring manual intervention. The system autonomously processes image data, identifies relevant persons based on proximity to abandoned items, and continuously tracks their movement throughout the facility, eliminating the need for operators to manually review images and record movements.
2Productivity
If manual image review and input work are required, then measurement precision is maintained, but productivity decreases and real-time monitoring is unavailable
Solution Approach 1:
The patent replaces manual mechanical operations with automated electronic processing. Instead of operators manually reviewing images and inputting data, the system uses automated image processing algorithms to identify abandoned items, detect persons in the images, extract personal features, and track movements. This substitution dramatically increases productivity and enables real-time monitoring while reducing the time operators would spend on manual tasks.
Solution Approach 2:
The system performs preliminary action by continuously analyzing image data as it is captured, rather than waiting for manual review. The detection unit, identification unit, and tracking unit operate in sequence on incoming image data, enabling real-time identification and tracking of persons who leave abandoned items. This continuous automated processing eliminates delays associated with manual operations.
3Productivity
If automated person search is implemented, then productivity increases, but device complexity increases
Solution Approach 1:
The monitoring system achieves multi-functionality by integrating multiple capabilities into a single system: abandoned item detection, person identification, feature extraction, and movement tracking. The image processing unit serves multiple purposes by analyzing the same image data for both abandoned item detection and person identification, reducing the need for separate dedicated systems while maintaining automated efficiency.
Data Source
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AI summary
An abandoned item detection unit 202 detects an abandoned item shown in an image taken by any of a plurality of imaging devices 100. A person identification unit 203 specifies the image directly before or directly after the appearance of the abandoned item as an image of abandonment timing, and identifies at least one person shown in the image of abandonment timing as a target person. A person search unit 205 searches for an image showing the target person from among the images respectively taken by any of the plurality of imaging devices 100. A result display unit 206 outputs a display showing the movement of the target person on the screen of a user terminal 300 on the basis of the imaging device that has taken each image showing the target person and the imaging time at which each image showing the target person was taken.