Image Analysis Apparatus for Stable Feature Extraction from Moving Objects
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Solution Overview
Problem
Existing techniques face challenges in maintaining stable feature quantity extraction from moving objects in camera images, particularly when the object's direction changes rapidly, leading to image blur and mixed features, which complicates analysis processing.
Innovation Solution
An information processing apparatus with an evaluation unit assesses the suitability of image regions for analysis based on object tracking and stability calculations, and an output control unit adjusts imaging conditions to improve feature quantity reliability, including adjusting frame rate, shutter speed, and pan/tilt/zoom settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a camera is fixed at a predetermined position for monitoring, then the camera can continuously capture images, but it becomes difficult to acquire stable feature quantities from a target human body when the object's moving direction changes rapidly
Solution Approach 1:
The patent applies dynamics by making the camera system adjustable and adaptive rather than fixed. The camera can dynamically change its photographing conditions (position, angle, magnification) to track the target object, allowing the system to adapt to rapid direction changes while maintaining stable feature quantity extraction. This resolves the contradiction by transforming a static monitoring system into a dynamic tracking system.
Solution Approach 2:
The patent utilizes parameter changes by modifying imaging parameters (such as shutter speed, aperture, frame rate) based on the target object's motion state. When the object moves rapidly or changes direction, the system adjusts these parameters to maintain image quality and feature extraction stability, thereby resolving the contradiction between fixed positioning and adaptability to motion.
2Stability of the object's composition
If the camera maintains a fixed photographing range, then the monitoring coverage is stable, but image blur and feature mixing occur when the target object moves rapidly
Solution Approach 1:
The system dynamically adjusts the photographing range and camera parameters based on target object motion. When rapid motion is detected, the camera modifies its photographing conditions (zoom, focus, exposure) to maintain image sharpness and feature extraction precision, while preserving overall monitoring stability through controlled adaptability.
Solution Approach 2:
The patent changes imaging parameters (shutter speed, aperture, gain) in response to target motion characteristics. These parameter adjustments compensate for rapid object movement, preventing image blur and feature mixing, thereby maintaining both photographing range stability and feature extraction precision simultaneously.
3Productivity
If the camera continuously captures images at high frame rate, then the tracking of rapidly moving objects is improved, but the image quality and feature extraction reliability deteriorate due to motion blur
Solution Approach 1:
The patent dynamically adjusts the frame rate based on target object motion speed and other imaging conditions. When the target moves rapidly, the system increases frame rate to maintain tracking, but simultaneously adjusts other parameters (shutter speed, aperture) to compensate for motion blur and preserve feature extraction quality. This resolves the contradiction by coordinating multiple parameter changes rather than simply increasing frame rate alone.
Solution Approach 2:
The system employs dynamic parameter adjustment where frame rate, shutter speed, and other imaging parameters are continuously optimized based on real-time target motion analysis. This dynamic coordination allows the system to maintain both high frame rate for tracking and sufficient image quality for feature extraction.
Data Source
AI summary
An information processing apparatus includes an evaluation unit configured to evaluate whether a partial region of a photographing range of an imaging unit is a region suitable for analysis processing to be performed based on feature quantities of an object, with reference to a track of the object in an image captured by the imaging unit, and an output control unit configured to control the information processing apparatus to output information reflecting an evaluation result obtained by the evaluation unit. Accordingly, the information processing apparatus can support a user to improve the accuracy of the analysis processing to be performed based on the feature quantities of the object.