Remote Camera Control via Video Sub-region Cropping
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Solution Overview
Problem
Remote camera control systems face significant delays in signal transmission, making it difficult to capture fast-moving subjects effectively, as the time lag between video feed and control signal response can result in the subject being lost from the camera's field of view, especially when filming events like sports or racing.
Innovation Solution
A method and system that processes video streams by designating a sub-region of interest, cropping the stream, and generating a camera control signal to adjust the camera's field of view, thereby mitigating communication delays and maintaining focus on the subject, which includes automatic analysis and adjustment of the camera's pan, tilt, and zoom based on the designated region and recognized delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the camera is controlled remotely from a central facility, then operator safety and travel cost are improved, but the time delay in signal transmission causes the camera to lose fast-moving subjects from its field of view
Solution Approach 1:
The system performs preliminary actions by automatically designating a sub-region of interest in the video stream and generating camera control signals in advance, so that when the signal transmission delay occurs, the camera has already been positioned to capture the fast-moving subject, thereby maintaining subject tracking despite the time delay
Solution Approach 2:
The system uses feedback by continuously analyzing the video stream to identify the sub-region of interest, comparing it with the current camera field of view, and automatically generating correction signals to adjust pan, tilt, and zoom parameters, ensuring the subject remains centered in the frame despite remote control delays
2Ease of operation
If the camera is controlled remotely, then the need for an operator at the camera location is eliminated, but the total delay in video feed and control signal makes it difficult to regain the subject once lost
Solution Approach 1:
The camera system performs self-service by automatically analyzing the video stream to identify the sub-region of interest and generating its own control signals for pan, tilt, and zoom adjustments, eliminating the need for manual operator intervention and maintaining reliable subject tracking despite remote control limitations
Solution Approach 2:
The system replaces the mechanical manual control system with an automated digital processing system that uses video stream analysis and algorithmic control signal generation to adjust camera parameters, thereby maintaining subject tracking reliability without requiring an operator at the camera location
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; 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, forming a first cropped video stream by cropping the first part of the video stream to that sub-region; forming the processed video stream incorporating the first cropped video stream.