Target Prioritizer System for Face Acquisition
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Solution Overview
Problem
Existing image acquisition systems face challenges in efficiently capturing close-up images of multiple individuals as they move within a camera's field of view before they pass out of range, particularly in prioritizing and optimizing the acquisition process for high-quality images.
Innovation Solution
A target prioritizer system utilizing a combination of wide and narrow field of view cameras, along with a processor-driven algorithm, determines the priority and sequence for capturing faces based on factors like velocity, distance, and image quality, ensuring that the most relevant faces are captured before they exit the camera's view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single narrow field of view camera is used to capture close-up images of multiple moving faces, then image quality improves, but the number of faces that can be captured before they exit the field of view decreases
Solution Approach 1:
The system divides the field of view into multiple zones using a wide field of view camera to identify different face targets, then assigns a narrow field of view camera to sequentially capture each identified face. This segmentation allows the narrow camera to focus on individual faces while the wide camera monitors multiple faces simultaneously, resolving the contradiction between image quality and number of faces captured.
2Productivity
If the camera pans and tilts quickly to capture multiple faces, then the number of faces captured increases, but image quality and focus accuracy deteriorate
Solution Approach 1:
The wide field of view camera performs preliminary detection and tracking of multiple faces, predicting their positions and velocities before the narrow field of view camera captures them. This preliminary action allows the narrow camera to be positioned optimally for each face capture, maintaining image quality while increasing the number of faces captured by using the wide camera's advance information.
3Measurement precision
If the system waits for faces to be stationary before capturing images, then image quality improves, but the time available for capture decreases as faces move through the field of view
Solution Approach 1:
The system uses continuous feedback from the wide field of view camera tracking face positions and velocities to dynamically adjust the narrow field of view camera's timing and positioning. This feedback loop allows the system to capture images at optimal moments when faces are in favorable positions, maintaining image quality while maximizing the number of captures within the available time window as faces move through the field of view.
Data Source
AI summary
A system having an approach for prioritizing targets for an order of capturing the targets photographically or otherwise. Prioritizing is based on cost of obtaining or capturing the target for viewing or photographing in high resolution. One acquisition mechanism is for obtaining a wide field of view of a scene of targets and another acquisition mechanism is for obtaining a narrow field of view of a target for capture. The cost for prioritizing is based on the time that the narrow field of view acquisition mechanism takes to pan and tilt to get a close-up image of a target divided by the width of the target. The targets may be faces of people.