Stop-Motion Animation Frame Extraction Using Posture Estimation
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Solution Overview
Problem
Existing methods for generating stop-motion animation rely on timed or manual frame extraction, which are inefficient and labor-consuming.
Innovation Solution
A method and apparatus that utilize a posture estimation algorithm to automatically extract video frames corresponding to the same or different postures in periodic motion sequences, generating a stop-motion animation without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual frame extraction is used, then the stop-motion animation can be generated with flexibility in frame selection, but the process is labor-consuming and inefficient
Solution Approach 1:
The system performs automatic frame extraction by itself without requiring manual intervention. The posture estimation algorithm automatically identifies and extracts frames containing the target object, making the system self-sufficient in the frame selection process while maintaining operational flexibility through algorithmic decision-making
Solution Approach 2:
The manual mechanical process of frame extraction is replaced with an automated computational system. The posture estimation algorithm and automatic extraction mechanism substitute the manual operational process, eliminating labor-consuming manual frame-by-frame selection while maintaining the ability to flexibly select appropriate frames based on posture analysis
2Extent of automation
If timed frame extraction is used, then the process is simple and automated, but it is not intelligent enough and may extract irrelevant frames
Solution Approach 1:
The system uses posture estimation as a feedback mechanism to evaluate each video frame and determine whether it contains the target object in the desired posture. This feedback loop allows the automatic extraction process to intelligently select only relevant frames while filtering out irrelevant ones, combining automation with accuracy
Solution Approach 2:
The system changes the extraction criterion from simple time-based intervals to posture-based parameters. By using posture estimation algorithms to analyze frame content and determine extraction based on detected posture states, the system transforms the extraction process from blind automated sampling to intelligent parameter-driven selection
3Measurement precision
If manual frame extraction is used, then frame selection accuracy can be high, but the time consumption and labor cost increase significantly
Solution Approach 1:
The time-consuming manual frame selection process is replaced with automated posture estimation and extraction algorithms. The computational system rapidly analyzes video frames to identify and extract relevant frames based on detected postures, achieving high accuracy without the time loss associated with manual review and selection of each frame
Data Source
AI summary
A method for generating a stop-motion animation comprises: acquiring a video containing a periodic motion of a target, the video containing a preset number of continuous motion periods; determining an initial motion period of the target in the video by using a posture estimation algorithm; determining a start period node according to the initial motion period, determining subsequent period nodes according to the start period node, and for the preset number of continuous motion periods, respectively extracting, in each motion period, a video frame corresponding to the same posture, or respectively extracting, in each motion period, a video frame corresponding to a different posture in a sequential order or reversed sequential order of motion, so as to obtain a video frame sequence of the stop-motion animation; and generating a stop-motion animation video according to the video frame sequence of the stop-motion animation.