Camera Subject Tracking Using Light and Focus Data
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Solution Overview
Problem
Conventional subject tracking systems in cameras rely solely on light measurement information, leading to potential errors where background regions with similar light information are mistakenly tracked instead of the main subject, due to differences in focus detection information.
Innovation Solution
A subject tracking apparatus comprising a light detector, focus detector, and tracking controller that determines regions with matching light and focus information to accurately track the subject by using light measurement and focus detection information from multiple regions, preventing tracking errors caused by differing focus amounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subject tracking relies solely on light measurement information, then the tracking system is simple to operate, but tracking accuracy deteriorates due to background regions with similar light information being mistakenly tracked
Solution Approach 1:
The patent combines light measurement information and focus detection information into a unified tracking determination process. The tracking control unit integrates both types of data to identify the main subject, merging two different measurement systems to resolve the contradiction between operational simplicity and tracking accuracy.
Solution Approach 2:
Focus detection information serves as an intermediary parameter that mediates between light measurement data and subject identification. By introducing this intermediate focus metric, the system can distinguish the main subject from background regions with similar light characteristics without complicating the user interface.
2Device complexity
If only light measurement information is used for tracking, then the device complexity is reduced, but reliability deteriorates due to potential tracking errors
Solution Approach 1:
The patent merges light measurement functionality with focus detection functionality into an integrated tracking system. By combining these two existing camera functions, the system improves reliability without adding entirely new complex subsystems, as both components already exist in conventional cameras.
Solution Approach 2:
The tracking control unit performs multiple functions: it processes light measurement data, integrates focus detection data, and determines subject tracking targets. This multi-functional approach allows the system to improve reliability through diverse data sources while avoiding the complexity of separate dedicated tracking hardware.
3Speed
If background regions with similar light information are tracked, then the tracking system responds quickly to light changes, but tracking precision deteriorates due to incorrect subject identification
Solution Approach 1:
Focus detection information acts as a mediator that filters quick light-based tracking responses. When light measurement indicates a potential subject change, the focus detection data verifies whether the change represents the actual main subject, maintaining fast response while preventing incorrect identifications.
Solution Approach 2:
The system uses focus detection information as feedback to validate light measurement-based tracking decisions. This feedback mechanism allows the system to maintain rapid response to light changes while correcting potential errors through focus-based verification, improving subject identification accuracy.
Data Source
AI summary
A subject tracking apparatus includes a light detector, a focus detector, and a tracking controller. The focus detector is configured to detect focus information at a plurality of focus detection regions in a view of an image. The focus information includes at least focus information detected at a subject region of a subject in the view. The tracking controller is configured to determine at least one first region having substantially same light information as light information detected at the subject region from among a plurality of light measurement regions, to determine at least one second region having substantially same focus information as the focus information detected at the subject region from among the plurality of focus detection regions, and to determine reference information for tracking the subject in the view based on the at least one first region and the at least one second region.