Dynamic Video Composite View for Surveillance ROI Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional video surveillance systems require operators to analyze multiple camera views simultaneously to monitor multiple regions of interest, which is inefficient and does not provide a single composite view to focus on the most important regions.
Innovation Solution
A video monitoring system and method that allows operators to identify and generate a composite operational view from multiple video sources, providing a single view port to monitor specific regions of interest (ROIs) within a secured premises, using user-controlled selection and arrangement of ROIs from multiple fields of view, without requiring complex video analytics processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If operators monitor multiple camera views simultaneously to cover all regions of interest, then complete coverage of monitored areas is achieved, but monitoring efficiency and operator focus deteriorate due to information overload
Solution Approach 1:
The system segments the full camera view into multiple regions of interest (ROIs) and allows operators to selectively monitor only the critical segments. This is achieved through ROI definition tools that divide the video feed into customizable zones, enabling focused monitoring of specific areas while maintaining the option to expand coverage if needed.
Solution Approach 2:
The system extracts and isolates only the critical regions from the complete camera view, presenting them as standalone monitoring targets. Operators can extract specific ROIs from the full scene and monitor them independently, eliminating the need to process irrelevant visual information while maintaining awareness of critical areas.
2Productivity
If a single composite view is created to focus on critical regions, then monitoring efficiency and operator focus improve, but the ability to view complete scene context deteriorates
Solution Approach 1:
The system merges multiple ROI views into a single composite display that consolidates critical monitoring areas into one unified view. This composite view combines selected ROIs from different cameras or regions into a single graphical interface, allowing operators to monitor multiple critical points simultaneously without switching between separate camera feeds.
Solution Approach 2:
The composite view serves multiple functions simultaneously: it provides focused monitoring of critical ROIs, maintains the ability to access full camera views when needed, and allows dynamic reconfiguration between different ROI combinations. The system can switch between composite view mode and full view mode, and operators can create multiple composite views for different operational scenarios.
3Extent of automation
If complex video analytics processing is applied to create intelligent composites, then automated object detection and tracking improve, but system complexity and processing requirements deteriorate
Solution Approach 1:
The system allows operators to manually define and configure ROIs based on their operational needs and expertise. Rather than relying on automated algorithms to determine what is critical, the monitoring system serves itself by allowing human operators to directly specify which regions require focused attention, eliminating the need for complex automated analysis to identify important areas.
Data Source
AI summary
A video surveillance system includes a plurality of video sources, where each video source is arranged to monitor and acquire video surveillance data within a field of view (FOV), a video manager connected to each of the plurality of video sources to control the video sources and to process video surveillance data acquired therefrom and a user interface connected to the video manager that allows an end-user to observe the FOVs from each of the plurality of video sources, and identify a region of interest (ROI) within particular FOVs to dynamically render a composite FOV comprising the ROIs from the particular FOVs. Where a video source includes enhanced abilities, such as a mega-pixel camera or video source, the enhanced video source may forward, instead of video data for the entire FOV, only that video dated from the selected ROI to realize reduced network traffic for more optimal video surveillance applications.