Multi-Camera Event Rule Synthesis for Video Surveillance
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Solution Overview
Problem
Current video security systems generate multiple redundant event detections from a single object, increasing processing burden and time due to the need for multiple event rules for each camera, which complicates event identification and management.
Innovation Solution
An apparatus and method that convert an event rule for a synthesized image from multiple cameras into individual event rules corresponding to each camera's coordinate system, allowing for the identification of a single event by determining if the extracted trace information complies with the converted rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple event rules are set for each camera to detect events, then event detection coverage is improved, but processing burden and time increase due to multiple redundant detections
Solution Approach 1:
The patent combines multiple event rules from different cameras into a single synthesized event rule. Instead of processing events separately for each camera, the system merges the rules and processes them together, reducing redundant processing while maintaining comprehensive event detection coverage across all cameras.
Solution Approach 2:
The synthesized event rule serves multiple cameras simultaneously, making it a universal rule that performs the function of multiple individual rules. This multi-functional approach allows a single rule to detect events across multiple camera views without requiring separate processing for each camera.
2Reliability
If multiple event rules are set for each camera, then event detection coverage is improved, but device complexity increases due to management of multiple rules
Solution Approach 1:
The patent merges multiple camera-specific event rules into a single synthesized rule, significantly reducing the complexity of rule management. Instead of maintaining and updating multiple separate rules for each camera, the system manages one unified rule that covers all cameras, simplifying the overall system complexity while preserving detection coverage.
3Measurement precision
If multiple individual event determinations are performed for synthesized images, then detection accuracy is improved, but the number of detecting devices increases
Solution Approach 1:
The synthesized event rule acts as a universal detector that performs event detection across multiple camera views simultaneously. This single multi-functional rule replaces the need for multiple separate detecting devices or rules, maintaining detection accuracy while reducing the quantity of detecting components required.
Data Source
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AI summary
An apparatus and a method for detecting an event from a plurality of captured images are disclosed. An apparatus for generating an individual event rule is provided, comprising an image receiver, an image synthesis unit, an event rule acquisition unit, an individual event rule generator and a rule transmitter. The image receiver receives multiple captured images from multiple cameras. The image synthesis unit synthesizes the multiple captured images through conversion functions corresponding to coordinate systems of the multiple cameras into a main image. The event rule acquisition unit acquires an event rule for the main image. The individual event rule generator converts the event rule through the conversion functions into individual event rules corresponding respectively to the cameras. The rule transmitter transmits the individual event rules for identifying a single event.