Real-time video surveillance based on combining foreground extraction and human detection

Hui Chi Zeng*, Szu-Hao Huang, Shang Hong Lai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations


In this paper, we present an adaptive foreground object extraction algorithm for real-time video surveillance, in conjunction with a human detection technique applied in the extracted foreground regions by using AdaBoost learning algorithm and Histograms of Oriented Gradient (HOG) descriptors. Furthermore, a RANSAC-based temporal tracking algorithm is also applied to refine and trace the detected human windows in order to increase the detection accuracy and reduce the false alarm rate. The traditional background subtraction technique usually cannot work well for situations with lighting variations in the scene. The proposed algorithm employs a two-stage foreground/background classification procedure to perform background subtraction and remove the undesirable subtraction results due to shadow, automatic white balance, and sudden illumination change. Experimental results on some real surveillance video are shown to demonstrate the good performance of the proposed adaptive foreground extraction algorithm under a variety of different environments with lighting variations and human detection system.

Original languageEnglish
Title of host publicationAdvances in Multimedia Modeling - 14th International Multimedia Modeling Conference, MMM 2008, Proceedings
PublisherSpringer Verlag
Number of pages10
ISBN (Print)3540774076, 9783540774075
StatePublished - Jan 2008
Event14th International Multimedia Modeling Conference, MMM2008 - Kyoto, Japan
Duration: 9 Jan 200811 Jan 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4903 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th International Multimedia Modeling Conference, MMM2008


  • Background subtraction
  • Foreground extraction
  • Human detection
  • Lighting variation
  • Surveillance


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