Welcome to Left Luggage Detection’s documentation!

Authors:

• Andrea Rizzo, andrearizzo[at]outlook.com
• Matteo Bruni, matteo.bruni[at]gmail.com

Abstract

This wiki describes the method used to detect abandoned items in a public space. Today, video surveillance is used airports, train stations and public spaces where it is essential guarantee a high security level. The video stream is obtained through the use of a Kinect device. The the RGB (intensity) and depth video streams are analyzed independently. From each stream we obtain a set of proposal, i.e. left luggage item, that are combined in the final step of our pipeline.

Contents

• Left luggage detection
  • Introduction
  • Background modeling
    • Depth background model and proposals
    • Intensity background model and proposals
  • Combination of proposals
  • Acknowledgments
• Developer Documentation
  • Depth Processing
    • Usage Example
    • DepthProcessing class
  • Intensity Processing
    • Usage Example
    • IntensityProcessing class
  • Background Modules
  • Kinect Connector
  • Kinect Calibration
  • Constant
  • Utility
  • Display
• Usage
  • Offline Usage
• Project Dependencies
  • 1. OpenKinect
    • Dependencies
    • Manual Build
  • 2. OpenCV
  • 3. Pygame
  • 4. Optional
    • SimpleCV
    • cProfile
• Dataset
• Performance
• GNU GENERAL PUBLIC LICENSE

Indices and tables

• Index
• Module Index
• Search Page