Vehicle Front Face Position Detection via Roadside Image Trajectory
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Solution Overview
Problem
Existing intelligent transport systems (ITS) face challenges in accurately detecting the position of a vehicle's front face from images captured by roadside cameras.
Innovation Solution
An information processing system that calculates a rectangular area including a vehicle in the image and determines the position of the vehicle's front face based on this area and a pre-set trajectory within the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a rectangular area (bounding box) is calculated to include a vehicle in the image, then the vehicle detection coverage is improved, but the precision of detecting the front face position deteriorates
Solution Approach 1:
The patent segments the vehicle detection task into two parts: first calculating a rectangular bounding box for general vehicle detection coverage, then further analyzing the trajectory and image features within this box to specifically locate the front face position. This segmentation allows the system to maintain both broad detection coverage and precise front face localization.
Solution Approach 2:
The patent transitions from two-dimensional bounding box coordinates to three-dimensional spatial information by incorporating trajectory data and calculating the front face position in the real-world coordinate system. This dimensional enhancement enables precise front face detection while maintaining the simplicity of bounding box calculation.
2Device complexity
If only image data is used for vehicle detection, then the system complexity is reduced, but the reliability of front face position detection deteriorates
Solution Approach 1:
The patent merges multiple data sources including image data, trajectory information, and coordinate system transformations into a unified detection framework. By combining these different types of information, the system achieves reliable front face position detection without requiring complex additional hardware, thus maintaining reasonable system complexity while improving reliability.
Solution Approach 2:
The patent introduces trajectory information as an intermediary element that bridges the gap between simple image data and accurate front face position. The trajectory data serves as a mediator that provides motion context and spatial relationships, enabling more reliable detection without directly increasing system complexity.
Data Source
AI summary
An information processing system includes a controlling portion configured to, based on an image captured by an image capturing apparatus provided on a roadside, calculate a rectangular area including a vehicle in the image, the controlling portion being configured to calculate the position of a front face of the vehicle based on the rectangular area thus calculated and a trajectory set in the image.