Behavior Analysis Device Using 2D Aspect Ratio
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Solution Overview
Problem
Existing behavior analysis systems require stereo cameras to generate three-dimensional images, leading to increased system size and cost, which is not feasible for all applications.
Innovation Solution
A behavior analysis device that processes frame images from a single camera to extract and analyze objects without relying on three-dimensional information, using object extraction, position detection, posture estimation, and behavior determination based on aspect ratios and shape similarity, while also considering environmental location information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If stereo cameras are used to generate three-dimensional images for behavior analysis, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts and utilizes only the necessary two-dimensional information (aspect ratio, shape characteristics) from the imaged object without requiring full three-dimensional image generation. This selective extraction of useful features allows behavior analysis to be performed with a single camera, removing the unnecessary stereo camera component while maintaining analysis accuracy.
Solution Approach 2:
The patent creates simplified two-dimensional representations (rectangular area models) of the imaged object that capture the essential behavioral characteristics. Instead of working with complex three-dimensional data, the system uses copied and simplified 2D features like aspect ratio and shape similarity that are sufficient for behavior determination.
2Reliability
If stereo cameras and image processing portions are used to generate three-dimensional images, then behavior analysis capability is improved, but manufacturing cost increases
Solution Approach 1:
The patent extracts essential behavioral information from simple two-dimensional image data without requiring expensive three-dimensional imaging systems. By focusing on key features like aspect ratio changes and shape similarity, the system achieves reliable behavior detection using only a single standard camera, significantly reducing hardware costs.
Solution Approach 2:
The patent replaces expensive, complex stereo camera systems with a single standard camera that can be easily manufactured and deployed. The simplified 2D analysis approach uses computationally efficient algorithms that do not require expensive processing hardware, making the overall system more cost-effective.
3Measurement precision
If three-dimensional image generation is used for behavior analysis, then posture detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies local quality analysis by examining specific local features of the object (such as the aspect ratio of rectangular areas representing different body parts) rather than requiring global three-dimensional reconstruction. This localized 2D feature analysis provides sufficient posture information without the complexity of full 3D imaging.
Solution Approach 2:
The patent changes the analysis parameters from three-dimensional spatial coordinates to two-dimensional parameters such as aspect ratio, area, and shape similarity. This parameter transformation allows posture estimation to be performed using simple 2D measurements that are computationally efficient and do not require complex 3D processing.
Data Source
AI summary
A behavior analysis device has an object extraction portion that processes a frame image of an imaging area being imaged by an imaging device and extracts an object being imaged, a position detection portion that detects a position in the imaging area, for each object extracted by the object extraction portion, a posture estimation portion that estimates an posture of the object, for each object extracted by the object extraction portion, and a behavior determination portion that determines a behavior of the object, for each object extracted by the object extraction portion, based on the position in the imaging area that is detected by the position detection portion and the posture estimated by the posture estimation portion.