Image Output Device Movement Parameter Extraction for Object Identification
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Solution Overview
Problem
Conventional image processing technologies fail to account for the movements of mobile objects when visually identifying whether the same object is captured in multiple images, limiting the effectiveness of identification processes.
Innovation Solution
An image output device comprising an acquirer, extractor, search unit, associate unit, and output controller that acquires and processes images to extract parameters related to object movements, searches for similar parameters, and associates images based on these parameters to facilitate visual identification of the same mobile object across different image sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing technology is used to visually identify whether the same mobile object is captured in multiple images, then the identification process is simple, but the identification accuracy is limited because movements are not considered
Solution Approach 1:
The patent segments the identification process into multiple independent analysis dimensions: face image analysis, body image analysis, and movement pattern analysis. Each dimension extracts specific parameters (face orientation, body posture, movement trajectory) that are then combined to achieve comprehensive identification accuracy while maintaining modular processing complexity
Solution Approach 2:
The patent adds the movement dimension to the traditional static image comparison by extracting movement parameters such as trajectory, speed, and acceleration from video sequences. This transforms the identification from a two-dimensional static comparison to a multi-dimensional analysis including temporal movement patterns, thereby improving identification accuracy
2Measurement precision
If multiple parameters including movements are extracted and analyzed to identify the same mobile object, then identification accuracy improves, but the processing time and computational load increase
Solution Approach 1:
The patent performs preliminary extraction of movement parameters and body parameters from video frames before the actual identification comparison. By pre-processing and storing these parameters, the system avoids redundant calculations during identification, thereby reducing processing time while maintaining comprehensive analysis for high accuracy
Solution Approach 2:
The patent transforms complex movement data into simplified comparison parameters by extracting key features such as movement trajectory, speed variations, and acceleration patterns. This parameter transformation reduces computational complexity while preserving the essential information needed for accurate identification
Data Source
AI summary
According to an embodiment, an image output device includes an extractor, a search unit, an associate unit, and a controller. The extractor is configured to extract a first parameter that varies in accordance with a movement of an object from at least one first image of the object, and extract a second parameter that varies in accordance with a movement of the object from each second image of the object. The search unit is configured to search for a second parameter similar to the first parameter. The associate unit is configured to associate the first image from which the first parameter is extracted with the second image from which the second parameter that is retrieved with respect to the first parameter is extracted. The controller is configured to instruct an output unit to output an image based on the first and second images that are associated to each other.