Analysis of Head-Mounted Wireless Camera Videos for Early Diagnosis of Autism
In this paper we present a computer based approach to analysis of social interaction experiments for the diagnosis of autism spectrum disorders in young children of 6–18 months of age. We apply face detection on videos from a head-mounted wireless camera to measure the time a child spends looking at people. In-Plane rotation invariant Face Detection is used to detect faces from the diverse directions of the children’s head. Skin color detection is used to render the system more robust to cluttered environments and to the poor quality of the video recording.
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- 1.Paul Viola and Michael Jones. Rapid object detection using a boosted cascade of simple features. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, 2001.Google Scholar
- 2.R. Lienhart and J. Maydt. An extended set of haar-like features for rapid object detection. In Proceedings IEEE Gonf. on Image Processing, pages 900–903, 2002.Google Scholar
- 4.Guillaume Heusch, Yann Rodriguez, and Sebastien Marcel. Local binary patterns as an image preprocessing for face authentication. In FGR’ 06: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition (FGR06), pages 9–14, Washington, DC., USA, 2006. IEEE Computer Society.Google Scholar
- 5.L. Piccardi, B. Noris, G. Schiavone, F. Keller, C. Von Hofsten, and A. G. Billard. Wearcam: A head mounted wireless camera for monitoring gaze attention and for the diagnosis of developmental disorders in young children. In RO-MAN’ 07: Proceedings of the 16th International Symposium on Robot and Human Interactive Communication, 2007.Google Scholar
- 6.R. Lienhart, A. Kuranov, and V. Pisarevsky. Empirical analysis of detection cascades of boosted classifiers for rapid object detection. Mrl technical report, Intel Labs, Dec 2002.Google Scholar
- 7.Henry Rowley, Shumeet Baluja, and Takeo Kanade. Rotation invariant neural network-based face detection. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, June 1998.Google Scholar
- 9.G. Gomez, M. Sanchez, and Luis Enrique Sucar. On selecting an appropriate colour space for skin detection. In MICAI’ 02: Proceedings of the Second Mexican International Conference on Artificial Intelligence, pages 69–78, London, UK, 2002. Springer-Verlag.Google Scholar
- 10.M.W. Powell and R. Murphy. Position estimation of microrovers using a spherical coordinate transform color segmenter. Fort Collins, CO, Jun 1999.Google Scholar