Remote Camera Control via Video Sub-region Segmentation
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Solution Overview
Problem
The existing methods for remotely controlling cameras at distant locations face significant challenges due to signal delays, which can result in failure to capture fast-moving subjects and difficulty in regaining the subject's view.
Innovation Solution
A method is introduced that involves capturing and processing video streams at a remote location, designating sub-regions of interest, and generating camera control signals to adjust the camera's field of view, pan, tilt, and zoom in real-time, thereby mitigating communication delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the camera is controlled remotely from a central facility, then operator safety and travel cost are improved, but signal delay increases causing failure to capture fast-moving subjects
Solution Approach 1:
The system segments the video stream processing by designating specific sub-regions of interest within the overall video feed. This allows the remote facility to focus computational resources on analyzing only the relevant portions of the video stream, reducing processing time and enabling faster response to fast-moving subjects despite the remote location.
Solution Approach 2:
The system performs preliminary actions by pre-designating sub-regions of interest in the video stream before full processing occurs. This advance preparation allows the remote facility to be ready to act immediately when subjects enter these designated areas, compensating for the signal delay inherent in remote control operations.
2Reliability
If the camera is controlled remotely, then operator safety is improved, but the ability to regain lost subject view deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring the video stream and automatically detecting when subjects leave the designated sub-regions. This real-time feedback enables the remote operator to immediately adjust camera positioning or re-acquire lost subjects, significantly improving ease of operation despite the remote location and signal delay.
Solution Approach 2:
The system provides self-service through automated subject tracking and camera control algorithms that can independently adjust the camera to follow subjects without requiring constant manual intervention from the remote operator. This reduces the difficulty of regaining lost subject views while maintaining operator safety.
3Manufacturing precision
If video is transmitted at high bandwidth, then video quality is improved, but transmission time and cost increase
Solution Approach 1:
The system extracts and transmits only the essential sub-regions of interest from the full video stream at high quality, rather than transmitting the entire video feed. This selective extraction maintains video quality for the most important portions while significantly reducing overall transmission time and bandwidth requirements.
Solution Approach 2:
The system applies local quality by providing high-bandwidth video transmission only for designated sub-regions of interest, while other portions of the video stream can be transmitted at lower quality or compressed more aggressively. This approach optimizes the balance between video quality and transmission time by allocating bandwidth where it is most needed.
Data Source
AI summary
A method for forming a processed video stream, comprising: capturing a first part of an input video stream using a camera and transmitting the first part of the video stream to a processing facility remote from the camera. At the processing facility, designating a first sub-region of the first part of the video stream for further processing. In dependence on the designation of a first sub-region. A first cropped video stream is formed by cropping the first part of the video stream to that sub-region. A processed video stream is formed incorporating the first cropped video stream.