3D Virtual Model for Multi-Camera Surveillance Tracking
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Solution Overview
Problem
Current surveillance systems, particularly in urban and complex environments, face challenges in providing comprehensive situational awareness and monitoring due to disjointed video feeds and inadequate tracking capabilities, which hampers the ability of security forces to respond effectively to threats and requires extensive training.
Innovation Solution
A system that combines video streams from monocular and stereo cameras with sensor information to construct a 3D model of a site, detects and tracks objects, and fuses these tracks into global tracks, providing immersive visualization and alerting operators to potential threats through a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If more cameras, monitors and sensors are installed to improve surveillance coverage, then the area of monitoring is improved, but the device complexity increases and overwhelms the ability of security forces to comprehend the situation
Solution Approach 1:
The patent combines multiple video streams from numerous cameras and sensor data into a single integrated 3D virtual model of the monitored environment. This merging approach consolidates dispersed information sources into one unified display, allowing security forces to comprehend the entire situation without being overwhelmed by individual camera feeds or sensor readings.
Solution Approach 2:
The system transitions from 2D video feeds and flat sensor data to a 3D virtual model representation of the monitored space. This dimensional transformation provides spatial context and depth, enabling operators to understand object locations, movements, and relationships in three-dimensional space rather than interpreting disjointed 2D images.
2Device complexity
If traditional surveillance systems are used to monitor complex environments, then the device complexity is kept low, but the loss of information occurs due to disjointed video feeds and inadequate tracking
Solution Approach 1:
The patent introduces a virtual model of the monitored environment as an intermediary layer between the physical scene and the operator's understanding. This virtual model acts as a mediator that integrates and contextualizes data from multiple cameras and sensors, preserving complete situational information while presenting it in a comprehensible format.
Solution Approach 2:
The system creates a universal 3D virtual model that serves multiple functions simultaneously: it displays static environment geometry, tracks moving objects, integrates sensor data, provides spatial context, and enables various viewing perspectives. This multi-functional approach eliminates information loss by consolidating all surveillance functions into one integrated representation.
3Reliability
If security personnel are asked to be more vigilant to improve threat detection, then the reliability of security is improved, but the loss of time occurs due to extensive training requirements
Solution Approach 1:
The system provides self-service by automatically integrating sensor inputs, detecting potential threats, and presenting information in a context that speeds comprehension. The virtual model and tracking system perform the analytical work that would otherwise require extensive human training, allowing security personnel to focus on threat response rather than situational analysis.
Solution Approach 2:
The system provides continuous feedback by tracking objects across multiple cameras and presenting their locations and movements in the 3D virtual model. This automated feedback mechanism highlights potential threats and provides real-time situational updates, reducing the need for personnel to actively scan and interpret multiple video feeds while maintaining high threat detection reliability.
Data Source
AI summary
A sentient system combines detection, tracking, and immersive visualization of a cluttered and crowded environment, such as an office building, terminal, or other enclosed site using a network of stereo cameras. A guard monitors the site using a live 3D model, which is updated from different directions using the multiple video streams. As a person moves within the view of a camera, the system detects its motion and tracks the person's path, it hands off the track to the next camera when the person goes out of that camera's view. Multiple people can be tracked simultaneously both within and across cameras, with each track shown on a map display. The track system includes a track map browser that displays the tracks of all moving objects as well as a history of recent tracks and a video flashlight viewer that displays live immersive video of any person that is being tracked.