본문 바로가기
  • Home
Basic Search

Robust Object Detection from Indoor Environmental Factors

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2010, 15(2), pp.41-46
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

최미영 1,  Gye-young Kim 1,  HYUNG IL CHOI 1

1숭실대학교

Accredited

ABSTRACT

In this paper, we propose a detection method of reduced computational complexity aimed at separating the moving objects from the background in a generic video sequence. In generally, indoor environments, it is difficult to accurately detect the object because environmental factors, such as lighting changes, shadows, reflections on the floor. First, the background image to detect an object is created. If an object exists in video, on a previously created background images for similarity comparison between the current input image and to detect objects through several operations to generate a mixture image. Mixed-use video and video inputs to detect objects. To complement the objects detected through the labeling process to remove noise components and then apply the technique of morphology complements the object area. Environment variable such as, lighting changes and shadows, to the strength of the object is detected. In this paper, we proposed that environmental factors, such as lighting changes, shadows, reflections on the floor, including the system uses mixture images. Therefore, the existing system more effectively than the object region is detected.

Statistics

  • 271 Viewed
  • 85 Downloaded

Tools

Issue List

Citation status

* References for papers published after 2023 are currently being built.

Basic Search Advanced Search