Person Recognition Apparatus Using Time-Based Image Segmentation

The patent divides the image data into multiple time periods and creates separate identification elements for each period. Instead of maintaining a single identification element that becomes outdated over time, the system segments the recognition process into multiple time-based groups, each with its own accurate identification element. This resolves the contradiction by maintaining low processing complexity through structured segmentation while preserving high measurement precision within each time segment.

The patent implements a dynamic identification element management system where identification elements are created and updated based on time-dependent changes. The system dynamically adjusts which identification element to use based on the shooting date of images, ensuring that the most current and accurate identification element is applied. This dynamic approach maintains measurement precision without requiring continuous full-system reprocessing.

The patent segments the time range into multiple periods, each with its own identification element. Instead of creating one identification element for a long time period (which would maintain productivity but reduce precision), the system creates multiple segmented identification elements for shorter time periods. This allows the system to maintain high productivity through efficient segmentation while ensuring high measurement precision within each segment.

The patent changes the parameter of time range duration based on the specific time period being processed. By adjusting the time range parameter to match appropriate segmentation intervals, the system optimizes both productivity and measurement precision. The identification elements are created with time-range parameters that balance update efficiency with accuracy requirements for different time periods.

The patent reduces device complexity by segmenting the processing into organized time-based groups rather than performing continuous or frequent full-system processing. Each time period is processed independently with its own identification element, which simplifies the overall processing architecture while maintaining accuracy within each segment.

The patent performs preliminary actions by pre-creating identification elements for each time period before actual recognition tasks. This preliminary organization of identification elements by time period eliminates the need for complex real-time processing decisions, reducing device complexity while ensuring measurement precision is maintained through pre-prepared accurate reference data.