Traffic Line Creation Using Adaptive Reference Points
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Solution Overview
Problem
Conventional traffic line creation devices inaccurately represent the movement of tracking targets, such as people, due to unnecessary movements of center points within the image space, especially when the target is crouching, spreading arms, or partially covered, leading to increased processing load when using image recognition techniques to correct these issues.
Innovation Solution
A traffic line creation device and method that includes an object detection unit, a state determination unit, and a reference point creation unit to accurately determine the state of the tracking target and create reference points based on detected areas, reducing incorrect traffic line creation without increasing processing load by using detection result information and environment data to differentiate between actual movement and state changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the traffic line is created by tracking the center point of the frame, then the traffic line creation process is simple, but the traffic line may not accurately represent the actual movement of the person in the target space
Solution Approach 1:
The patent applies local quality by selecting different reference points within the detection frame based on the target's state. Instead of uniformly using the center point, the system identifies whether the target is standing, crouching, or sitting, and accordingly selects the lower edge center, upper edge center, or other appropriate points. This localized adaptation ensures accurate movement tracking for each specific state while maintaining process simplicity.
2Measurement precision
If image recognition techniques are used to recognize gestures such as crouching and spreading arms, then the traffic line accuracy is improved, but the processing load increases
Solution Approach 1:
The patent changes parameters by using the aspect ratio (width-to-height ratio) of the detection frame as a simple indicator to determine target state. Instead of complex gesture recognition, the system compares the aspect ratio against predetermined thresholds to identify whether the target is standing, crouching, or sitting. This parameter-based approach significantly reduces processing load while maintaining sufficient accuracy for traffic line creation.
Data Source
AI summary
The traffic line creation device which creates the traffic line representing a motion trace of the tracking target comprising: an object detection unit which detects the tracking target from an image frame to create detection result information including a detected area of the tracking target; a state determination unit which determines a state of the tracking target based on the detection result information; a reference point creation unit which creates a reference point of the tracking target by using the detected area with a method corresponding to the state determined at the state determination unit; and a traffic line creation unit which creates the traffic line representing a motion trace of the tracking target by connecting a plurality of the reference points created for a plurality of the image frames.