Foreground segmentation-based human detection with shadow removal

Fadhlan Hafiz, A. A. Shafie, Othman Khalifa, M. H. Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Recent research in video surveillance system has shown an increasing focus on creating reliable systems utilizing non-computationally expensive technique for observing humans' appearance, movements and activities, thus providing analytical information for advanced human behaviour analysis and realistic human modelling. In order for the system to function, it requires robust method for detecting human form from a given input of video streams. In this paper, we present a human detection technique suitable for video surveillance. The technique we propose includes background subtraction, foreground segmentation, and shadow removal. The proposed detection technique will first try to extract all foreground objects from the background and then moving shadows will be eliminated by a shadow detection algorithm. Finally, we perform a morphological reconstruction algorithm to recover the distorted foreground objects after shadow removal process. We define certain features that describe human and match them with the final objects obtained from earlier processing. The experimental result proves its validity and accuracy in various fixed outdoor and indoor video scenes.

Original languageEnglish
Title of host publicationInternational Conference on Computer and Communication Engineering, ICCCE'10
DOIs
Publication statusPublished - Oct 15 2010
EventInternational Conference on Computer and Communication Engineering, ICCCE'10 - Kuala Lumpur, Malaysia
Duration: May 11 2010May 12 2010

Publication series

NameInternational Conference on Computer and Communication Engineering, ICCCE'10

Other

OtherInternational Conference on Computer and Communication Engineering, ICCCE'10
CountryMalaysia
CityKuala Lumpur
Period5/11/105/12/10

Keywords

  • Background subtraction
  • Foreground segmentation
  • Gaussian mixture model
  • Human detection
  • Shadow removal
  • Video surveillance

ASJC Scopus subject areas

  • Computer Networks and Communications

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