Vehicle Face Detection Search Area Expansion
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Solution Overview
Problem
Face detection devices struggle when the face to be detected moves out of the search area due to occupant movement, leading to failed detections and continuous searching within the same area.
Innovation Solution
A face detection device that includes processing circuitry to acquire images from a vehicle-mounted imaging device, set a search area, detect faces, and expand the search area when detection fails, thereby improving detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the search area is kept fixed for continuous searching, then the processing load is reduced and the searching is efficient, but the detection reliability deteriorates when the face moves out of the search area
Solution Approach 1:
The search area is made dynamic by automatically expanding it when face detection fails. The system transitions from a static fixed search area to a dynamic adaptive search area that adjusts its size based on detection results, allowing the search area to grow outward from the original position to cover a larger region and capture the moved face.
Solution Approach 2:
The system uses feedback from the detection result to control the search area size. When detection fails, the system receives feedback that the face is not in the current search area, and responds by expanding the search area. This closed-loop feedback mechanism ensures the search area adapts to the actual position of the face.
2Reliability
If the search area is expanded to cover a larger region, then the detection reliability is improved when the face moves, but the processing load increases and searching efficiency decreases
Solution Approach 1:
Instead of continuously searching the entire possible region, the system applies partial action by expanding the search area only when necessary (when detection fails). The expansion is controlled and incremental, starting from the original search area and growing outward only to the extent needed to capture the moved face, avoiding unnecessary processing of the entire image.
Solution Approach 2:
The system changes the parameter of search area size dynamically. The search area size is not fixed but is adjusted as a variable parameter based on detection performance. When detection fails, the size parameter is increased by expanding the area outward; when detection succeeds, the parameter returns to the original smaller size, optimizing the balance between reliability and efficiency.
3Device complexity
If the detection system continuously searches the original search area, then the processing is simple and fast, but the detection accuracy deteriorates when the face position changes
Solution Approach 1:
The system prepares for potential face movement by having a pre-defined expansion mechanism ready. When detection fails, the expansion action is immediately executed without complex real-time calculations. The expansion follows a predetermined pattern (outward expansion from the original search area), which simplifies the processing while maintaining the ability to track the moved face.
Data Source
AI summary
A face detection device includes processing circuitry configured to acquire, from an imaging device mounted on a vehicle and imaging an at least one occupant inside the vehicle, a captured image in which the at least one occupant is imaged; set a search area in which a face of the at least one occupant is searched in the acquired captured image; search the search area and detect the face of the at least one occupant; determine whether or not the detection of the face of the at least one occupant has succeeded; and expand the search area when determining that the detection of the face of the at least one occupant has failed.