Surveillance Camera Network Blind Spot Contact Detection
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Solution Overview
Problem
Surveillance cameras often have blind spots due to installation costs, making it difficult to monitor areas outside their imaging range, which can be exploited by individuals committing crimes or spreading viruses, and existing systems do not account for contacts in these blind spots.
Innovation Solution
An information processing system that tracks individuals across multiple surveillance cameras, calculates traveling time between them, and determines the probability of contact by identifying individuals whose time exceeds the normal average, thereby interpolating blind spots and generating a contact list.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If surveillance cameras are installed to monitor areas, then monitoring capability is improved, but blind spots remain due to installation costs and practical constraints
Solution Approach 1:
The patent introduces an information processing system as an intermediary that connects multiple surveillance cameras. This system processes images from multiple cameras to infer contact probabilities of individuals in blind spots by analyzing temporal and spatial relationships between camera observations, effectively mediating the gap left by physical blind spots
Solution Approach 2:
The patent transitions from purely spatial monitoring to spatio-temporal analysis. By adding the time dimension to camera observations and calculating traveling times between cameras, the system can detect contacts in blind spots that would be invisible to any single camera at a single moment
2Reliability
If comprehensive camera coverage is implemented to eliminate blind spots, then monitoring reliability is improved, but installation costs increase
Solution Approach 1:
The patent creates a virtual copy of the physical monitoring system through image processing. By analyzing sequences of images from existing cameras and calculating traveling times, the system reconstructs information about individual movements and contacts in blind spots, effectively copying the monitoring function without requiring additional physical cameras
Solution Approach 2:
The information processing system performs multiple functions using existing camera infrastructure: it tracks individual movements, calculates traveling times, determines contact probabilities, and identifies potential crimes or virus transmission routes, making the existing camera network multi-functional without requiring additional dedicated equipment
3Ease of operation
If existing surveillance systems are used, then simple individual monitoring is achieved, but contacts outside imaging ranges cannot be detected
Solution Approach 1:
The patent performs preliminary actions by continuously calculating traveling times between cameras and storing this information. When an individual is detected in a blind spot, the pre-calculated traveling time data enables immediate determination of contact probability with other individuals, avoiding the need for complex real-time analysis during actual contact events
Data Source
AI summary
Provided are an information processing system, an information processing method and a program that can detect probability whether individuals contacted or not outside the imaging ranges of surveillance cameras. The invention includes: an image receiving unit that receives input of images captured by a plurality of imaging apparatuses including a first surveillance camera and a second surveillance camera; and a list generating unit that outputs information on two individuals when each of the two individuals satisfies the conditions of a moment of disappearing from the frame of an image of one of the surveillance cameras, and a moment of appearing in the frame of an image of the other one of the surveillance cameras.