Motion Quantification Jitter Reduction via Static Feature Alignment

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Solution Overview

Problem

Existing digital video recording systems face challenges in accurately measuring object motion due to spatial and temporal jitter caused by camera wobble and inconsistencies in frame capture timing, leading to imprecise calculations of object motion.

Innovation Solution

The system normalizes spatial and temporal jitter by aligning image frames using static features and calculating a normalized motion value based on spatial distance and frame interval differences, thereby reducing the effects of camera movement and frame rate variations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If image frames are captured continuously to measure object motion, then motion detection capability is improved, but temporal jitter from inconsistent frame timing degrades measurement precision

Engineering Contradiction:

Improvemotion measurement accuracyVSAvoidframe timing consistency

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The system performs preliminary registration of static features in each image frame to establish reference positions before motion calculation. By pre-aligning frames based on static feature positions, the system compensates for temporal jitter from inconsistent frame timing, enabling accurate motion measurement despite variable frame intervals

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system calculates displacement of static features between consecutive frames and uses this feedback to normalize motion measurements. By continuously monitoring and compensating for frame timing variations through displacement calculations, the system maintains measurement precision despite inconsistent frame capture intervals

Inventive Principle:

Principle #23Feedback

2Measurement precision

If camera angle changes slightly between frames, then field of view adaptability is improved, but spatial jitter from camera wobble degrades measurement precision

Engineering Contradiction:

Improvespatial displacement accuracyVSAvoidcamera angle flexibility

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system extracts and isolates the motion component from static features by registering their positions across frames. By separating the static background registration from dynamic object motion, the system eliminates spatial jitter caused by camera wobble while preserving the ability to handle varying camera angles

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system uses static features as intermediary reference points to mediate between camera movement and object motion measurement. By aligning frames based on these intermediary static feature positions, the system compensates for camera angle changes and spatial jitter while maintaining measurement accuracy

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If frame capture timing is increased in frequency to improve motion detection resolution, then motion measurement capability is improved, but temporal jitter from hardware limitations degrades reliability

Engineering Contradiction:

Improvemotion detection resolutionVSAvoidframe interval consistency

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary registration of static features and calculates their displacement before proceeding to object motion analysis. This preliminary alignment action compensates for variable frame intervals, enabling high-frequency frame capture without sacrificing reliability due to timing inconsistencies

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system changes the parameter of frame interval normalization by calculating displacement based on actual frame timing rather than assuming uniform intervals. This parameter adjustment allows the system to handle variable frame rates from hardware limitations while maintaining reliable motion detection at high frequencies

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10594940B1Reduction of temporal and spatial jitter in high-precision motion quantification systems

Publication Date: 2020.03.17 VALE GROUP LLC

AI summary

A first image and a second image recorded during a video capture event is obtained. A correction factor is computed based at least in part on a target interval and an interval of time between recording the first image and recording the second image. A motion value is computed based at least in part on a difference between the first region and the second region, with the first region and the second region both containing a reference object present in the first image and the second image. A normalized motion value is provided based at least in part on normalizing the motion value according to the correction factor.