Distributed Surveillance Event Definition via Template Segmentation
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Solution Overview
Problem
Current surveillance systems face challenges in centrally defining and managing events across multiple disparate sites with non-uniform layouts and camera configurations, lacking scalability and data consistency.
Innovation Solution
The system separates event definition into global and local components, allowing central authorities to define global aspects while local operators customize site-specific components, using a template-based approach for event definition and monitoring, with rules applied to detect events across sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a global operator interacts with a surveillance system at each individual site to define events of interest, then centralized control and management of events is achieved, but time and resource constraints prohibit scalability across many sites
Solution Approach 1:
The event definition process is segmented into two distinct phases: a centralized template definition phase where global operators define event structures, and a distributed instantiation phase where local systems automatically generate site-specific event definitions by substituting site-specific parameters into the templates. This segmentation eliminates the need for global operators to manually configure each site while maintaining centralized control over event structures.
Solution Approach 2:
Event templates are defined in advance at the centralized level, containing the structural framework, detection logic, and parameters for events of interest. These pre-defined templates are then distributed to all sites, where they are automatically instantiated with site-specific information. This preliminary action at the centralized level enables rapid deployment across numerous sites without requiring proportional increases in operational resources.
2Reliability
If similar locations across all sites are required to be identical in floor-plan and sensor placement, then a global operator can centrally define and replicate events across all locations, but this approach is not practical for disparate sites
Solution Approach 1:
The system allows event templates to contain both universal components (applicable to all sites) and site-specific parameters (customizable for each location). Local quality is achieved by enabling each site to define its own geometric relationships, sensor positions, and floor-plan characteristics while maintaining consistency in event detection logic and data structure through the centralized template framework.
Solution Approach 2:
The system uses parameterized event templates where site-specific characteristics are represented as configurable parameters rather than fixed values. Each site can modify parameters such as sensor locations, floor-plan dimensions, and spatial relationships while the core event detection methodology remains consistent. This parameter-based approach maintains data consistency through standardized structures while accommodating diverse site configurations.
3Productivity
If local site operators are given responsibility for event definition, then scalability is improved, but centralized control is relinquished and data consistency across sites is reduced
Solution Approach 1:
The system segments event definition into template creation (centralized) and template instantiation (distributed). Local operators only perform the instantiation step, which involves substituting site-specific information into pre-approved templates rather than creating events from scratch. This segmentation enables scalability by reducing the complexity of local configuration while maintaining data consistency through centralized template control.
Solution Approach 2:
Event templates serve as an intermediary between centralized control requirements and local customization needs. The templates encode standardized event structures and detection logic that ensure consistency across sites, while providing designated parameters that local operators can customize for their specific environments. This intermediary mechanism reconciles the conflicting requirements of centralized control and local adaptability.
Data Source
AI summary
Rules are applied to video surveillance data to detect events. Localization of the events is achieved by decomposing events into distinct components, each of which can, in some embodiments, be defined at different locations and by different users.