Yeong-Jae Choi

Learn More
With the rapid development and wide spread of the virtual reality technology, we can easily find VR systems in various places such as school, library and home. Translation and rotation, the most frequently used gestures for manipulating objects in the real world, need to be implemented in order to make a user feel comfortable while manipulating 3D objects(More)
Robust detection and tracking in a smart environment have numerous valuable applications. In this paper, an adaptive sensor fusion method which automatically compensates for bias between a laser scanner and video camera is proposed for tracking multiple people. The proposed system comprises five components: blob extraction, object tracking, scan data(More)
The popularization of virtual experience spaces involves several difficulties, and this paper focuses on part of them—additional equipment removal and cumbersome initialization process lightening. In this paper, a new automated initialization method to replace the traditional initialization process is proposed using the Kinect sensor, an affordable(More)
With the recent development of hardware technologies, vision sensor networks (VSNs) are widely deployed to communicate with environments. One of the key issues in a VSN is to build a topology graph and localize vision sensors in the network precisely and dynamically. This paper proposes a framework for estimating a topology graph for a VSN in a dynamic(More)
Face recognition is an important technique for Natural User Interface (NUI) and Human Robot Interaction (HRI) and many of the current state-of-the-art face recognition techniques are based on the local features which are extracted from a face alignment method like Constrained Local Model (CLM). But, in a real world environment, face alignment methods often(More)
Vision-based fire detection is a challenging research area, since the visual features of fire dynamically change due to several factors such as weather conditions. In this paper, we propose a novel fire detection approach in which detected fire-candidate blobs are categorized as fire or non-fire under recursive Bayesian estimation. By employing the(More)
  • 1