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MPFDD

MPFDD is a multi‑person fall dataset comprising indoor and outdoor scenes with 2 to 5 participants. The dataset contains 220 videos, of which 80 depict daily activities and 140 depict falls. Indoor scenes feature an activity room equipped with chairs, tables, computers, etc., while outdoor scenes are open areas primarily with tables and chairs. The dataset details video distribution across different participant counts.

Updated 5/30/2024
github

Description

MPFDD Dataset Overview

Dataset Name

  • Name: Multi-Person Falls Dataset (MPFDD)

Scene Types

  • Scenes: Indoor and outdoor
  • Participant Range: 2 to 5 people

Video Content

  • Total Videos: 220
  • Categories:
    • Daily Activity (ADL) videos: 80
    • Fall videos: 140

Video Distribution

  • 2‑Person Scenes:
    • Daily Activity videos: 20
    • Fall videos:
      • Single‑person fall: 10
      • Two‑person fall: 10
  • 3‑Person Scenes:
    • Daily Activity videos: 20
    • Fall videos:
      • Single‑person fall: 10
      • Two‑person fall: 10
      • Three‑person fall: 10
  • 4‑Person Scenes:
    • Daily Activity videos: 20
    • Fall videos:
      • Single‑person fall: 10
      • Two‑person fall: 10
      • Three‑person fall: 10
      • Four‑person fall: 10
  • 5‑Person Scenes:
    • Daily Activity videos: 20
    • Fall videos:
      • Single‑person fall: 10
      • Two‑person fall: 10
      • Three‑person fall: 10
      • Four‑person fall: 10
      • Five‑person fall: 10

Indoor Scene Description

  • Elements: Chairs, tables, computers, and other accessories.

Outdoor Scene Description

  • Elements: Primarily tables and chairs.

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Topics

Fall Detection
Scene Analysis

Source

Organization: github

Created: 5/30/2024

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