Abnormal Situation Detection Using Object Motion Analysis
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Solution Overview
Problem
Existing monitoring systems face challenges in accurately detecting abnormal situations in public places due to factors like viewing angle changes and high costs associated with infrared or microwave detection methods, which often require human cooperation and are difficult to implement effectively.
Innovation Solution
A method and apparatus that detect whether a target in an image holds an object by obtaining motion information, using a camera system to recognize the object and determine the presence of an abnormal situation based on the object's motion, providing a more accurate and robust recognition of potential risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional image recognition methods are used to detect abnormal situations, then the system is easy to implement, but the determination result is easily influenced by viewing angle changes and obstacles, reducing measurement precision
Solution Approach 1:
The patent transitions from two-dimensional image recognition to three-dimensional spatial reasoning by introducing depth information and spatial relationships. The system establishes a three-dimensional coordinate system and uses spatial vectors to represent object positions and movements, enabling accurate detection regardless of viewing angle or obstacles.
Solution Approach 2:
The patent introduces motion information as an intermediary element to bridge the gap between image recognition and abnormal situation determination. By analyzing motion vectors, speed, and acceleration of objects, the system can accurately identify potential threats even when visual recognition is ambiguous due to angle or obstruction.
2Measurement precision
If infrared, tomography or microwave detection apparatus are used to determine object risk, then characteristic information can be stably obtained, but the cost is high and human cooperation is required, reducing ease of operation
Solution Approach 1:
The patent creates a virtual three-dimensional model (copy) of the physical environment using data from ordinary cameras and sensors. This digital twin approach allows the system to perform complex spatial and motion analysis without requiring physical infrared or microwave scanning apparatus, achieving similar detection capabilities with more accessible technology.
Solution Approach 2:
The patent replaces complex mechanical scanning systems (infrared, tomography, microwave apparatus) with a combination of standard cameras and computational algorithms. The system uses software-based three-dimensional reconstruction and motion analysis to substitute for hardware-based scanning methods, reducing cost and operational complexity.
Data Source
AI summary
A method and an apparatus for detecting an abnormal situation are disclosed. The method includes detecting whether a first target exists in an obtained image; recognizing whether the first target holds an object, when the first target exists in the image; obtaining motion information of the object, when the first target holds the object; and determining, based on the motion information of the object, whether the abnormal situation exists.