Information Processing Apparatus for Multi-Camera Subject Coordination
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Solution Overview
Problem
In systems with multiple image capturing apparatuses, it is challenging for a single user to effectively control and obtain desired video images, especially when subjects are lost from view or when there are multiple targets or areas, due to the complexity of coordinating pan, tilt, and zoom functions across multiple devices.
Innovation Solution
An information processing apparatus that includes a reception unit for user designations, automatic subject detection, and manual lens operations, a determination unit to identify main and sub image capturing apparatuses, and a transmission unit to coordinate these apparatuses for efficient image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple image capturing apparatuses are used to capture video images from various viewpoints, then the variety of captured viewpoints increases, but it becomes difficult to appropriately retain the desired video image
Solution Approach 1:
A server acts as an intermediary between multiple image capturing apparatuses and the user. The server receives image capturing results from multiple devices, determines which device should capture the desired subject based on received information, and transmits control instructions to the appropriate device. This mediator approach resolves the contradiction by automating the selection process, maintaining viewpoint variety while eliminating manual selection difficulty.
Solution Approach 2:
The system implements feedback mechanisms where the server receives information from image capturing apparatuses about subject detection results, current capturing states, and operational status. Based on this feedback, the server dynamically determines which apparatus should capture the desired subject and adjusts control instructions accordingly. This feedback loop enables automatic adaptation to changing scenes while maintaining ease of operation.
2Measurement precision
If a single user operates multiple image capturing apparatuses with pan, tilt, and zoom functions, then control precision may improve, but the operational complexity increases significantly
Solution Approach 1:
The image capturing apparatuses perform self-service by automatically detecting subjects and providing information about their capturing state to the server. Each device autonomously monitors its own operational status, subject detection results, and positioning information, then transmits this data to the server. This self-service approach maintains control precision while reducing the complexity burden on the user.
Solution Approach 2:
The server serves as an intelligent intermediary that receives operational information from multiple apparatuses, processes this information centrally, and generates coordinated control instructions. Instead of requiring a single user to manually coordinate pan, tilt, and zoom functions across multiple devices, the server automates this coordination, maintaining precision while dramatically reducing operational complexity.
3Measurement precision
If automatic subject tracking is implemented in image capturing apparatuses, then subject tracking accuracy improves, but the system becomes difficult to control when multiple subjects or areas are involved
Solution Approach 1:
The server acts as a central intermediary that receives subject detection information from multiple image capturing apparatuses, each performing automatic tracking. The server processes this information to determine which subject and which apparatus should be prioritized, then transmits coordinated control instructions to multiple devices. This approach maintains high tracking accuracy for each device while resolving the complexity of managing multiple subjects and areas through centralized intelligence.
Solution Approach 2:
The system segments the control of multiple subjects and areas across different image capturing apparatuses based on their respective fields of view and capabilities. Each apparatus continues its automatic subject tracking independently within its own scope, while the server assigns different subjects or areas to different devices. This segmentation maintains tracking accuracy for each device while simplifying overall control by distributing multi-target management across multiple specialized units.
Data Source
AI summary
An information processing apparatus includes a reception unit configured to receive, from a plurality of image capturing apparatuses, at least one of information about designation of a subject by a user, information about automatic subject detection, and information about a manual operation on an image capturing lens by the user, a determination unit configured to determine a main image capturing apparatus and a sub image capturing apparatus from among the plurality of image capturing apparatuses, based on the information received by the reception unit, and a transmission unit configured to transmit a result of the determination to the main image capturing apparatus and transmit subject information set in the main image capturing apparatus to the sub image capturing apparatus.