Multi-Image Space Visualization for Wide-Area Object Mapping
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Solution Overview
Problem
Existing systems struggle to effectively visualize and manage a wide variety of objects and events scattered over a large area, such as in disaster situations, due to the complexity of coordinating multiple imaging devices from varying distances and angles, leading to cumbersome operations and difficulty in grasping the overall situation.
Innovation Solution
A space visualization system that includes a calculation device for constructing a spatial structure from multiple images, detecting objects, and fusing image semantic information with spatial structure to estimate object positions, storing this information for quick visualization and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple imaging devices capture images from various distances and angles to cover a wide area, then the coverage area and detection capability are improved, but the complexity of coordinating and managing these devices increases significantly
Solution Approach 1:
The patent merges multiple imaging devices into a unified management system that processes images from various sources (fixed surveillance cameras, mobile wearable cameras, and UAVs) through a single image management server. This consolidation reduces coordination complexity by providing centralized control while maintaining wide-area coverage capabilities.
Solution Approach 2:
The image management server performs multiple functions including image acquisition, spatial structure construction, object detection, and situation visualization. This multi-functional approach eliminates the need for separate systems for each task, thereby reducing overall system complexity while handling diverse imaging devices.
2Measurement precision
If a user manually designates coordinates on a three-dimensional model to acquire specific images, then image retrieval precision is improved, but the operation time and user burden increase
Solution Approach 1:
The system automatically generates situation overview images by processing and analyzing stored images from multiple imaging devices. The image management server autonomously constructs spatial structures, detects objects, and synthesizes overview images without requiring manual user intervention, thereby reducing operation time while maintaining precision through automated coordinate mapping.
Solution Approach 2:
The system pre-processes and stores images from multiple imaging devices, constructing spatial structures and detecting objects in advance. When a situation overview is needed, the pre-processed data is quickly retrieved and synthesized, eliminating the need for time-consuming manual operations at the moment of need.
3Measurement precision
If detailed object detection and spatial structure construction are performed on all images, then detection precision is improved, but the processing time and computational load increase
Solution Approach 1:
The system performs detailed spatial structure construction and object detection selectively based on the situation overview requirements. For generating overall situation images, the system uses streamlined processing that focuses on key spatial relationships and prominent objects, rather than exhaustive analysis of every detail in all images, thereby reducing processing time while maintaining sufficient precision for situational awareness.
Data Source
AI summary
A space visualization system includes: a calculation device configured to execute predetermined calculation processing; and a storage device accessible by the calculation device. The calculation device includes a spatial structure recognition unit configured to construct a spatial structure based on a plurality of images. The calculation device includes an image semantic recognition unit configured to detect an object included in each of the plurality of images. The calculation device includes an image semantic and spatial structure fusion unit configured to estimate a spatial position of the detected object on the spatial structure. The storage device stores information on the image as a source of constructing the spatial structure, the constructed spatial structure, and information on the detected object.