Information-Centric Network Tracking via Search Area Constraints
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Solution Overview
Problem
Current IP networking systems require extensive processing to track a perpetrator using video records from security cameras, while information-centric networks struggle to efficiently filter out unnecessary records, leading to inefficient tracking of criminals in urban areas.
Innovation Solution
A communication device and system connected to an information-centric network that transmits request messages to designate search areas and periods, allowing for the efficient collection of passage trail information from detectors, such as cameras, to track mobile bodies by narrowing search areas and specifying search periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If IP networking is used to collect video records from security cameras, then the system can access camera data, but it requires extensive processing operations to track a perpetrator
Solution Approach 1:
The patent segments the video record collection process by introducing intermediate forwarding nodes (routers) that aggregate data from multiple cameras. Instead of one terminal directly accessing all cameras, the system divides the collection task across multiple network nodes, reducing the processing burden on any single device while maintaining tracking capability.
2Productivity
If information-centric network collects all security camera data, then it can find criminal records, but it includes a lot of unnecessary records from cameras that should have never shot a specific criminal
Solution Approach 1:
The patent applies local quality by enabling forwarding nodes to perform local filtering of video records based on relevant criteria. Instead of uniformly collecting all camera data, the system allows intermediate nodes to selectively forward only pertinent records, reducing the volume of unnecessary data while maintaining comprehensive criminal tracking capability.
3Reliability
If the system searches all urban area camera records, then it ensures no criminal escape, but it cannot track efficiently due to excessive data volume
Solution Approach 1:
The patent implements preliminary action by having forwarding nodes pre-process and filter video records before they reach the terminal device. This advance filtering reduces the data volume that requires detailed analysis, thereby decreasing tracking time while maintaining reliable criminal detection across the entire urban area.
4Ease of operation
If IP networking addresses each camera individually, then it can access specific camera data, but it needs to perform large amount of processing to find video records with criminal
Solution Approach 1:
The patent introduces forwarding nodes as intermediaries between terminals and cameras. These intermediary routers aggregate data from multiple cameras and perform initial filtering, simplifying the access operation for terminals while significantly improving search efficiency by reducing the volume of data that requires detailed processing.
Data Source
AI summary
In order to track a mobile body in an efficient manner, a server collects passage trail information relating to a mobile body to be tracked from a camera provided in an information-centric network to thereby track the mobile body. Specifically, the server transmits a request message which designates a search area and a search period to the information-centric network, requesting the information-centric network to provide passage trail information relating to the mobile body, the passage trail information being acquired by the camera; receives a response message including the passage trail information; and collects the passage trail information associated with the search area and the search period designated by the request message to thereby generate tracking information.


