Camera-Based Person Tracking for Exclusion Zone Entry Detection
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Solution Overview
Problem
Existing vehicle monitoring systems fail to effectively detect entry of passengers into no-entry zones, posing safety risks.
Innovation Solution
A monitoring device that tracks a person's position across multiple images to determine if they have been within an exclusion zone for defined periods, using a camera and processor to issue alerts when entry is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing vehicle monitoring systems are used, then general monitoring functions are provided, but detection of entry into no-entry zones is ineffective
Solution Approach 1:
The monitoring area is segmented into multiple zones: a no-entry zone (first area) and an adjacent warning zone (second area). This segmentation allows the system to differentiate between actual no-entry violations and approaching movements, improving detection accuracy while maintaining manageable system complexity through zone-based classification.
Solution Approach 2:
The system performs preliminary tracking of person positions over time periods before making final entry determination. By tracking positions during a first period within the no-entry zone and a second period within the adjacent zone, the system prepares detection data in advance, enabling reliable entry detection without requiring complex real-time analysis.
2Measurement precision
If tracking is performed for short periods only, then response speed is fast, but detection accuracy is insufficient
Solution Approach 1:
The system employs dynamic time period tracking where the first period and second period durations can be adjusted based on detection needs. The tracking duration is dynamically optimized to balance accuracy requirements with response time, allowing the system to adapt tracking lengths to different detection scenarios and maintain both precision and timeliness.
Solution Approach 2:
The system performs preliminary position tracking during defined time periods before making entry determination. This preliminary tracking accumulates sufficient position data to ensure accurate detection while establishing a clear decision threshold, thereby achieving both high measurement precision and timely detection without excessive time delay.
Data Source
AI summary
A monitoring device includes a processor configured to detect a person from each of a plurality of time-series images generated by a camera, track the detected person in one or more images representing the person among the plurality of images, determine whether the position of the detected person in the images has been within a first area in the images corresponding to an exclusion zone for a first period and whether the position of the detected person in the images has been within a second area in the images adjacent to the first area for a second period longer than the first period, based on the tracking result, and determine that the detected person has entered the exclusion zone, when the position of the detected person in the images has been within the first area for the first period or within the second area for the second period.