Information Processing Apparatus for Automated Target Tracking on Maps
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Solution Overview
Problem
Current systems for monitoring and tracking individuals using camera images require observers to manually search for targets within camera images and verify their positions on maps, making the process inefficient.
Innovation Solution
An information processing apparatus that detects objects in captured images, calculates their positions, and displays a clipped image of the detected object on a map, along with symbols indicating similar objects, allowing for efficient tracking and visualization of monitoring targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If camera images are provided to the observer as they are, then the observer can check the actual appearance and behavior of persons, but the observer has to manually find and verify tracking targets from the camera images, increasing the workload and time consumption
Solution Approach 1:
The system performs preliminary actions by automatically detecting objects in camera images, calculating their positions on the map, and determining similarity to tracking targets before the observer views the information. This preprocessing eliminates the need for manual search and verification, resolving the contradiction between identification accuracy and time consumption
Solution Approach 2:
The system creates a simplified copy of the camera image information by displaying clipped images and symbolic representations on the map. This copy contains the essential information (position, appearance, similarity) without requiring the observer to examine the full camera image, thus reducing time while maintaining identification reliability
2Ease of operation
If the position of every detected object is displayed with its clipped image on the map, then the observer can easily check target positions, but the display becomes cluttered and difficult to interpret when multiple objects are present
Solution Approach 1:
The system applies local quality by differentiating the display representation based on the object's importance. High-similarity tracking targets are displayed with clipped images showing actual appearance, while low-similarity objects are displayed with simple symbols. This differentiated approach maintains ease of checking for important targets while reducing display clutter
Solution Approach 2:
The system performs partial action by selectively displaying detailed information (clipped images) only for objects that meet a similarity threshold, while using simplified symbols for other objects. This partial application of detailed display maintains ease of operation for relevant targets while avoiding the complexity of displaying all objects with equal detail
Data Source
AI summary
In order to reduce a load of checking a result of image analysis, an information processing apparatus detects an object in an image, acquires a position in a monitoring region, acquires a similarity between a target and the detected object, and changes a display format of the object displayed at a position on a region image based on a notice level.