Vs-star: A visual interpretation system for visual surveillance

  • Authors:
  • Kaiqi Huang;Tieniu Tan

  • Affiliations:
  • National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China;National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2010

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Abstract

In recent year, intelligent visual surveillance has become more and more important for enhanced security. In this paper, we will introduce some recent work in image and video understanding. First, we will give an introduction of the related video surveillance system in recent years, in particular, we will describe algorithms and systems developed in our group for the automatic interpretation of human and vehicle motion in surveillance videos, where automatic interpretation involves object motion detection, object classification and recognition, object tracking and the analysis of object behaviors in order to detect abnormal behaviors. We also give some examples of the real applications of Vs-star system.