Virtual Space Target Tracking for Reduced Processing Load
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Solution Overview
Problem
Existing image processing systems face challenges in accurately tracking positions and sizes of approaching vehicles and pedestrians while managing a large processing load, which can lead to tracking errors and decreased accuracy.
Innovation Solution
The system employs an information processing apparatus with an input interface, processor, and output interface that maps detected targets from observation data into a virtual space, tracks their position and velocity, and estimates their size based on observed and past values, thereby reducing processing load and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system tracks positions and sizes of approaching vehicles and pedestrians using image processing, then detection accuracy is improved, but processing load increases
Solution Approach 1:
The patent segments the tracking task into two independent parts: position tracking (using bounding box coordinates) and size estimation (separate calculation based on position and observed size). This segmentation allows each sub-task to be optimized independently, reducing the overall processing load while maintaining detection accuracy.
Solution Approach 2:
The patent introduces a virtual space as an intermediary coordinate system that simplifies the relationship between camera observations and real-world positions. By mapping detection targets to a virtual space with defined gravitational acceleration and coordinate transformations, the system reduces complex 3D tracking to 2D position tracking with standardized size estimation, thereby reducing processing load.
2Reliability
If the system processes image signals from cameras to detect and display approaching vehicles and pedestrians, then detection capability is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary coordinate transformation by mapping detection target positions to a virtual space immediately upon detection. This preliminary action establishes a standardized reference frame that simplifies subsequent tracking and size estimation operations, reducing the time required for these follow-up processing steps.
Solution Approach 2:
The patent changes the parameter representation by transitioning from direct 3D coordinate tracking to 2D virtual space coordinates with implicit depth information. This parameter transformation reduces the computational complexity of tracking calculations and enables faster processing while maintaining detection reliability.
Data Source
AI summary
An information processing apparatus includes an input interface, a processor, and an output interface. The input interface obtains observation data obtained from an observation space. The processor detects a detection target included in the observation data. The processor maps coordinates of the detected detection target as coordinates of a detection target in a virtual space, tracks a position and a velocity of a material point indicating the detection target in the virtual space, and maps coordinates of the tracked material point in the virtual space as coordinates in a display space. The processor sequentially observes a size of the detection target in the display space and estimates a size of a detection target at a present time on a basis of observed values of a size of a detection target at the present time and estimated values of a size of a past detection target. The output interface outputs output information based on the coordinates of the material point mapped to the display space and the estimated size of the detection target.