Image Processing System Using Skeletal Data Analysis

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Solution Overview

Problem

Current image processing systems monitoring wide areas with multiple cameras lack efficiency in handling various events and processing images from multiple sources effectively.

Innovation Solution

An image processing system comprising a first terminal and a second terminal connected for image data acquisition, analysis of skeletal data for body structure similarity, detection of events, and output of results, enabling efficient processing of images from multiple cameras.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If multiple cameras are installed to monitor a wide area, then the coverage area is increased, but the complexity of processing images from multiple sources increases

Engineering Contradiction:
Improvemonitoring coverage areaVSAvoidimage processing system complexity
Core Design Contradiction:
Area of stationary objectVSDevice complexity

Solution Approach 1:

The patent divides the image processing task into separate modules: image data acquisition unit, analysis unit for skeletal data, and detection unit for events. This segmentation allows each component to handle specific functions independently, reducing overall system complexity while maintaining wide area monitoring capability through multiple cameras

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces skeletal data as an intermediary representation between raw image data and event detection. By converting image data into skeletal data (which represents body structures and movements), the system simplifies the processing of multiple camera inputs and enables more efficient event detection

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If image data from multiple cameras is processed in detail, then event detection accuracy is improved, but processing time increases

Engineering Contradiction:
Improveevent detection accuracyVSAvoidimage processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent extracts only the essential features from image data by converting them into skeletal data that represents body structures and movements. This extraction process removes unnecessary image details while retaining the critical information needed for event detection, thereby maintaining accuracy while reducing processing time

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent transforms image data into a different parameter representation (skeletal data with body structure information and movement patterns). This parameter change enables more efficient processing by focusing on relevant physical characteristics rather than processing entire image frames in detail

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20250014312A1Image processing system, image processing method, and non-transitory computer-readable medium
Publication Date: 2025.01.09 NEC CORP
  • US20250014312A1 patent drawing
  • US20250014312A1 patent drawing
  • US20250014312A1 patent drawing

AI summary

An image processing system includes a first terminal and a second terminal communicably connected to each other. The first terminal includes an image data acquisition unit configured to acquire image data related to an image of a predetermined space from a camera that photographs the predetermined space. At least one of the first terminal or the second terminal includes an analysis unit configured to analyze whether skeletal data relating to a structure of a body of a person included in the image are similar to predetermined reference skeletal data. The second terminal includes a detection unit configured to detect a predetermined event based on a result of the analysis, and an output unit configured to output result information that is a result of the detection.