PoseMotionAnalyzer

Human Pose and Motion Sequence Analysis System

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0. One-Sentence Goal

Extract human body keypoints from images or videos, construct temporal keypoint sequences, and provide structured data for downstream pose and motion analysis, recognition, and visualization.

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1. Project Overview

PoseMotionAnalyzer is a lightweight project focused on human pose and motion analysis.

Rather than emphasizing single-frame pose detection, it focuses on:

• Structuring extracted body keypoints
• Organizing frame-level keypoints into temporal sequences
• Providing clean and reusable data interfaces for downstream analysis and modeling

The project is designed as an extensible engineering framework for pose and motion-related tasks.

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2. Core Features

The current implementation provides:

• Human body keypoint extraction
  • Extract skeletal keypoints from images or video frames
• Keypoint sequence construction
  • Assemble frame-level keypoints into temporal motion sequences
• Structured data output
  • Unified data formats for analysis, modeling, and visualization
• Backend–frontend separation
  • Backend for computation and data processing
  • Frontend reserved for pose and motion visualization

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3. Project Structure

PoseMotionAnalyzer/
├─ backend/
│  └─ src/
│     ├─ config/                  # Configuration files
│     ├─ data/                    # Input or intermediate data
│     ├─ extractor/               # Keypoint and sequence extractors
│     │  ├─ body_keypoint_extractor.py
│     │  └─ body_keypoint_sequence_extractor.py
│     ├─ models/                  # Pose / motion models (reserved)
│     ├─ utils/                   # Utility functions
│     └─ main.py                  # Main entry point
├─ test/                           # Tests
├─ frontend/
│  ├─ app/                        # Frontend application (reserved)
│  └─ ui_design/                  # UI designs
├─ .gitignore
├─ README.md
├─ requirements.txt
└─ setup.ps1

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4. Conceptual Workflow

1. Input images or video data
2. Extract human body keypoints using body_keypoint_extractor
3. Construct temporal keypoint sequences with body_keypoint_sequence_extractor
4. Use the outputs for:
   • Motion analysis
   • Pose comparison
   • Visualization
   • Downstream model training or inference

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5. Use Cases

• Human pose analysis
• Motion sequence modeling
• Movement behavior research
• Pose and motion visualization
• Foundation module for action recognition systems

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6. Project Positioning Summary

PoseMotionAnalyzer is a structured framework that converts visual human motion into analyzable temporal representations, emphasizing clarity, extensibility, and engineering practicality.