Accident Detection Using Possession Motion for Hidden Person Falls
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Solution Overview
Problem
Existing accident detection technologies fail to detect falls in crowded areas, such as escalators, where individuals in the back may be hidden behind those in the front, leading to detection failures.
Innovation Solution
An accident detection apparatus that includes a detector to identify individuals and their possessions using camera images, and a determiner to assess accidents based on the movements and postures of both individuals and their possessions, thereby reducing detection failures in crowded environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a surveillance camera is used to detect falls by analyzing posture changes in captured images, then fall detection can be achieved in open areas, but detection fails when persons are hidden behind others in crowded areas
Solution Approach 1:
The patent uses possessions (bags, clothes, etc.) as intermediary objects to detect falls of hidden persons. When a person falls, their possession may continue moving or change position independently, providing detectable motion patterns even when the person themselves is obscured. The possession acts as a mediator that reveals information about the person's state without requiring direct visual contact with the person.
Solution Approach 2:
The patent replaces direct visual observation of human posture (mechanical/physical observation) with detection of object motion patterns. By tracking the movement characteristics of possessions rather than directly analyzing human body posture, the system can infer falls even when the person is not visible, substituting one detection mechanism for another that works under different conditions.
2Device complexity
If only person posture is analyzed for fall detection, then the detection system remains simple, but detection accuracy decreases when persons are obscured by others
Solution Approach 1:
The patent makes the detection system multi-functional by using the same camera and image processing infrastructure to detect both persons and their possessions. The system performs multiple detection tasks (person detection, possession detection, motion analysis) using a unified approach, allowing it to adapt to different scenarios (visible persons, hidden persons, crowded areas) without requiring separate specialized systems.
Data Source
AI summary
An accident detection device is provided with: a possession detection unit that uses a photographed images from a surveillance camera to detect a person and a possession, which is an object possessed by the person; and an accident determination unit that determines whether an accident has occurred on the basis of movement of the person and the possession in the photographed images from the surveillance camera.