3D-Based Unattended Object Detection Method for Video Surveillance

Chia Hung Yeh, Kahlil Muchtar, Chih Yang Lin*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter


Inspired by 2D GrabCut for still images, this paper proposes automated abandoned object segmentation by introducing 3D GrabCut in surveillance scenario. This allows the method to produce precise object extraction without needing user intervention. Both RGB and depth input are utilized to build abandoned object detector which can resist to shadow and brightness changes. We performed the indoor experiments to show that our system obtains an accurate detection and segmentation. Both quantitative and qualitative measurements are provided to analyze the result.

Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
Number of pages8
Publication statusPublished - 2018

Publication series

NameLecture Notes in Networks and Systems
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


  • 3D processing
  • Abandoned object detection
  • GrabCut

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications


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