Camera Layout Suitability Evaluation for Overlapping Objects
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Solution Overview
Problem
Existing camera layout evaluation techniques do not consider the likelihood of objects overlapping or the presence of movable parts within monitored areas, leading to unsuitable camera layouts for image processing, and require extensive camera installation and recalibration, incurring high costs.
Innovation Solution
A camera layout suitability evaluation apparatus that calculates image processing performance parameters based on environmental object information, including structural and placed objects, to assess the suitability of camera layouts for image processing, considering hiding levels, orientations, and movements of objects, and adjusts camera positions and angles for optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing camera layout evaluation techniques are used, then the evaluation process is simple, but the evaluation does not account for object overlapping or movable parts, leading to unsuitable camera layouts for image processing
Solution Approach 1:
The evaluation system segments the monitored area into multiple regions and evaluates camera layout suitability for each region separately. This allows the system to handle complex scenarios with multiple objects and movable parts by breaking down the overall evaluation into manageable regional assessments, improving reliability without proportionally increasing system complexity
Solution Approach 2:
The system performs preliminary evaluation of camera layout suitability by analyzing static environmental information and predicted object characteristics before actual image processing. This preliminary assessment identifies potential issues with object overlapping or movable parts, allowing camera layouts to be optimized in advance without requiring extensive trial installations
2Measurement precision
If a large number of cameras are installed to measure human traffic, then measurement accuracy improves, but installation cost and complexity increase significantly
Solution Approach 1:
The camera layout evaluation system serves multiple functions: it evaluates camera layout suitability for image processing, analyzes environmental objects including movable parts, predicts object characteristics, and assesses potential overlapping issues. This multi-functional approach replaces the need for separate extensive camera installations dedicated solely to human traffic measurement, reducing overall system complexity while maintaining evaluation accuracy
Solution Approach 2:
The system uses virtual modeling and simulation to evaluate camera layout suitability rather than requiring physical installation of numerous cameras for measurement purposes. By creating digital representations of the monitored area and simulating camera performance, the system achieves measurement accuracy without the physical complexity of installing large numbers of cameras
3Reliability
If camera layout is optimized for static environmental objects, then image processing performance improves, but the layout becomes unsuitable when objects overlap or movable parts change position
Solution Approach 1:
The evaluation system dynamically assesses camera layout suitability by considering not only static environmental objects but also predicted positions and characteristics of movable objects. It evaluates how camera layouts perform under different object configurations and overlapping scenarios, enabling the selection of layouts that maintain reliability across dynamic conditions rather than optimizing for a single static state
Solution Approach 2:
The system performs preliminary evaluation of camera layout adaptability by analyzing potential object overlapping scenarios and movable part positions before final layout determination. This advance assessment ensures that selected camera layouts remain suitable for image processing even when objects overlap or movable parts change position, improving both reliability and adaptability
Data Source
AI summary
A parameter calculation unit calculates, for camera layout information of the camera placed in the monitored area and environmental object information representing an environmental object including a structural object present in the monitored area and a placed object placed in the structural object, an image processing performance parameter indicating at least one of a hiding level of an object, an orientation of the object, and a movement of the object based on characteristic information representing characteristics of an appearance and a movement of the object determined depending on an environmental object. A suitability calculation unit calculates camera layout suitability based on image processing characteristic information representing a characteristic of the image processing and the image processing performance parameter, the camera layout suitability being an index of a level of suitability of a camera layout represented by the camera layout information for image processing of the object.