Construction management educators are frequentlypresented with a difficult choice: Do I organize thefield trip and sacrifice hours of class time, for theability to provide a half-hour real-world experiencefor my students? This book describes theconfiguration of wireless webcam equipment as it waspiloted on construction sites and utilized for fieldtrips in two construction management classes atPurdue University. Lessons learned from the pilotactivities facilitated the development of bestpractices for wireless webcam field tripimplementation. A Wireless Webcam Lesson Plan Guideis provided as a framework for planning andimplementing field trips that enhance educationalobjectives. As a result, the field trip can become anintegrated part of the educational process ratherthan merely an entertaining diversion. The technicaland educational planning described should be usefulto construction educators and those that supportdistance learning activities as well as anyoneinterested in real-time audio and video communicationwith remote sites.
Networked 3D virtual environments allow multiple users to interact with each other over the Internet. Users can share some sense of telepresence by remotely animating an avatar that represents them. However, avatar control may be tedious and still render user gestures poorly. This work aims at animating a user s avatar from real time 3D motion capture by monocular computer vision, thus allowing virtual telepresence to anyone using a personal computer with a webcam. The approach followed consists of registering a 3D articulated upper-body model to a video sequence. The first contribution of this work is a method of allocating computing iterations under real-time constrain that achieves optimal robustness and accuracy. The major issue for robust 3D tracking from monocular images is the 3D/2D ambiguities that result from the lack of depth information. As a second contribution, this work enhances particle filtering for 3D/2D registration under limited computation constrains with a number of heuristics, the contribution of which is demonstrated experimentally. A parameterization of the arm pose based on their end-effector is proposed to better model uncertainty in the depth direction.
Robust, non-intrusive human eye detection problem has been a fundamental and challenging problem for computer vision area. Not only it is a problem of its own, it can be used to ease the problem of finding the locations of other facial features for recognition tasks and human-computer interaction purposes as well. Many previous works have the capability of determining the locations of the human eyes but the main task in this thesis is not only a vision system with eye detection capability. Our aim is to design a real-time, robust, scale-invariant face tracker system with human eye movement indication property using the movements of iris based on localization technique indicate from image processing and circle fitting technique. As a result, our eye tracker system was successfully implemented using non-intrusive webcam with less error.