By observing human driving with a “digital head" (combined video camera and accelerometers) and taking a few hand annotations, we can automatically annotate regions in a robot's field of view that should be interpreted as obstacles to be avoided. This is accomplished by detecting the movement for a given frame in a video. Some hand annotations of video frames are necessary and they are used to create Probability Grids. Using the movement data and the Probability Grids, it is possible to annotate large amounts of video data quickly in an automated system.
College and Department
Physical and Mathematical Sciences; Computer Science
BYU ScholarsArchive Citation
Clement, Michael David, "Obstacle Annotation by Demonstration" (2007). Theses and Dissertations. 1042.
digital head, video, annotation, video, robot, obstacle