Multi-Camera Video Interface with Spatial Proximity Grouping
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Solution Overview
Problem
Current video surveillance systems face challenges in efficiently tracking individuals across multiple cameras due to the large quantity of video streams, lack of metadata, and difficulty in spatially correlating camera views, making it hard for security personnel to identify and follow activities of interest.
Innovation Solution
A system is developed that selects and displays keyframes from video streams based on activity levels and spatial proximity, allowing users to view multiple camera feeds in temporal and spatial relationships, with animation to maintain orientation when switching between views.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple video streams are displayed to track activity across cameras, then the ability to monitor and identify events of interest improves, but the complexity of managing and navigating the video streams increases
Solution Approach 1:
The system segments the large set of video streams into spatial groups based on camera proximity. When a user selects a main video stream, the system automatically identifies and groups related streams from geographically nearby cameras, creating manageable subsets of video feeds that are spatially correlated rather than presenting all streams simultaneously.
Solution Approach 2:
The system introduces a spatial map as an intermediary interface between the user and the video streams. This map visually represents camera locations and allows users to select cameras based on spatial relationships. The map acts as a mediator that organizes and presents video stream options in a comprehensible spatial context, reducing the cognitive load of managing multiple streams.
2Reliability
If all available video streams are made accessible to users, then complete coverage of monitored areas is achieved, but the difficulty of locating and recognizing tracked persons in small images increases
Solution Approach 1:
The system applies local quality by displaying video streams from spatially proximate cameras together in the interface. When a user views a main video stream, the system presents additional streams from nearby cameras in close proximity on the screen, allowing users to easily spot tracked persons across multiple views without having to search through distant or unrelated camera feeds.
Solution Approach 2:
The system adds a spatial dimension to the video stream interface by incorporating a visual map that shows camera locations. This spatial dimension allows users to understand the geographic relationships between cameras and predict where a tracked person might appear next, transforming the navigation task from searching through abstract stream lists to following spatial paths on a map.
3Ease of operation
If video streams from geographically near cameras are prioritized for display, then the ease of tracking activity between cameras improves, but the loss of information from distant cameras increases
Solution Approach 1:
The system dynamically adjusts which video streams are displayed based on the user's current selection and tracking needs. As users follow a tracked person across cameras, the system automatically updates the group of displayed streams to include cameras that are spatially relevant to the current location and movement of the tracked person, ensuring that the most useful information is always visible while maintaining the ability to access other streams when needed.
Data Source
AI summary
An interface and display of video from multiple fixed-position cameras is provided. A main video stream captured by a camera is selected to be the main video stream and is displayed to the interface. Video streams captured by the set of cameras and the main camera that are temporally related to the displayed main video stream are selected, including playback positions from one or more of a first segment of time in each of their respective video streams at the time of the main video stream, a second segment of time in each of their respective video streams prior to the time of the main video stream, and a third segment of time in each of their respective video streams after the time of the main video stream. The selected video streams are displayed to the interface in temporal relation to the display of the main video stream.