Optimized Surveillance Solution for Unattended Baggage Recognition

Abstract

Abstract—The system automatically recognize activities around protected area to improve safety and security by multiplexing hundreds of video streams in real time. Object tracking method has important role in real time environment because it enables applications such as Security and surveillance to recognize people and to provide better sense of security using visual information. A novel algorithm for unattended baggage detection based on image segmentation is proposed by using segmentation results of successive frames. An adaptive background subtraction technique is used to handle illumination changes and sudden change in backgrounds.

Authors and Affiliations

R. Karthikeyan , P. Mahalakshmi , N. GowriShankar

Keywords

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  • EP ID EP141334
  • DOI -
  • Views 74
  • Downloads 0

How To Cite

R. Karthikeyan, P. Mahalakshmi, N. GowriShankar (2013). Optimized Surveillance Solution for Unattended Baggage Recognition. International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 2(1), 42-46. https://europub.co.uk/articles/-A-141334