본문 바로가기
  • Home

Object Detection Using Predefined Gesture and Tracking

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2012, 17(10), pp.43-53
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

배대희 1 Joonhwan Yi 1

1광운대학교

Accredited

ABSTRACT

In the this paper, a gesture-based user interface based on object detection using predefined gesture and the tracking of the detected object is proposed. For object detection, moving objects in a frame are computed by comparing multiple previous frames and predefined gesture is used to detect the target object among those moving objects. Any object with the predefined gesture can be used to control. We also propose an object tracking algorithm, namely density based meanshift algorithm, that uses color distribution of the target objects. The proposed object tracking algorithm tracks a target object crossing the background with a similar color more accurately than existing techniques. Experimental results show that the proposed object detection and tracking algorithms achieve higher detection capability with less computational complexity.

Citation status

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

This paper was written with support from the National Research Foundation of Korea.