Target Tracking via Sensor-Image Fusion
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Solution Overview
Problem
Existing methods for tracking targets in images, such as in sports or crime prevention, face accuracy issues due to concentration of targets, occlusion, and insufficient image resolution, leading to erroneous detection and tracking.
Innovation Solution
An information processing apparatus that combines image data from an imaging device with sensor information from sensors attached to targets, using interpolation and identification techniques to improve tracking accuracy by distinguishing and following targets even in complex scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If target tracking is performed solely based on captured images, then the system structure remains simple, but tracking accuracy deteriorates due to target concentration and occlusion
Solution Approach 1:
The patent combines image data from imaging devices with sensor data from sensors attached to targets. The information processing apparatus integrates multiple data sources (image data and sensor data) to perform target tracking, thereby improving tracking accuracy while managing system complexity through unified processing.
Solution Approach 2:
The patent introduces sensor data as an intermediary element that bridges the gap between image-based tracking and actual target position. Sensors attached to targets provide auxiliary information that mediates the tracking process, enabling more accurate position determination even when visual tracking fails due to occlusion or target concentration.
2Measurement precision
If only image data is used for target identification, then the system remains simple, but identification accuracy deteriorates in complex scenarios
Solution Approach 1:
The patent merges image data and sensor data in the information processing apparatus. The processing unit integrates both data types to identify targets, combining the visual information from imaging devices with the positional and motion information from sensors, thereby achieving more accurate identification in complex scenarios.
Solution Approach 2:
The patent adds another dimension of information by incorporating sensor data alongside image data. This multi-dimensional approach allows the system to identify targets more accurately by considering both visual characteristics and sensor-measured parameters such as position and motion, enabling differentiation of targets in complex scenarios.
3Measurement precision
If manual corrections are applied to correct erroneous tracking, then tracking accuracy improves, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by continuously collecting and processing both image data and sensor data before tracking errors occur. The information processing apparatus proactively integrates multiple data sources to maintain accurate tracking, preventing erroneous detection rather than correcting it later, thereby reducing the need for time-consuming manual corrections.
Solution Approach 2:
The patent implements feedback mechanisms by continuously comparing image-based tracking results with sensor-based position information. This feedback loop enables the system to automatically detect and correct potential tracking errors in real-time, maintaining high accuracy without requiring manual intervention and minimizing processing time delays.
Data Source
AI summary
There is provided an information processing apparatus including a processing unit that tracks a target on the basis of a captured image that has been captured by an imaging device and sensor information obtained by communication from a sensor that senses the target.