@inproceedings{jojic2000detecting,
author = {Jojic, Nebojsa and Brumitt, Barry and Meyers, Brian and Harris, Steve},
title = {Detecting and estimating pointing gestures in dense disparity maps},
booktitle = {Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on},
year = {2000},
month = {March},
abstract = {We describe a real-time system for detecting pointing gestures and estimating the direction of pointing using stereo cameras. Previously, similar systems were implemented using color-based blob trackers, which relied on effective skin color detection; this approach is sensitive to lighting changes and the clothing worn by the user. In contrast, we used a stereo system that produces dense disparity maps in real-time. Disparity maps are considerably less sensitive to lighting changes. Our system subtracts the background, analyzes the foreground pixels to break the body into parts using a robust mixture model, and estimates the direction of pointing. We have tested the system on both coarse and fine pointing by selecting the targets in a room and controlling the cursor on a wall screen, respectively.},
publisher = {IEEE},
url = {http://approjects.co.za/?big=en-us/research/publication/detecting-estimating-pointing-gestures-dense-disparity-maps/},
edition = {Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on},
}