Abstract
We propose a multi-camera system that can track multiple human faces and hands as well as focus on them for face and hand-sign recognition. Our current system consists of four video cameras. Two cameras are fixed and used as a stereo camera to estimate position. The stereo camera detects faces and hands using a standard skin color method we proposed. The distances of targets are then estimated. To track multiple targets, we evaluated position and size of targets in consecutive frames. The other two cameras perform target tracking. Our system selects a target for recognition by using size and motion information sequentially. If size of the selected target is too small for recognition, tracking cameras acquire its zoomed image. Using our system, we experimented on multiple target tracking.
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References
S. Morishima, T. Ishikawa and D. Terzopoulos: “Facial Muscle Parameter Decision from 2D Frontal Image”, Proc. ICPR’98, pp.160–162 (1998)
Jin Liu: “Determination of Point of Fixation in a Head-Fixed Coordinate System”, Proc. ICPR’98, pp.501–504 (1998)
T. Shigemura, M. Murayama, H. Hongo, K. Kato and K. Yamamoto: “Estimating the Face Direction for the Human Interface”, Proc. Vision Interface’98, pp.339–345 (1998)
M. Ohya, H. Hongo, K. Kato and K. Yamamoto: “Face Detection System by Using Color and Motion Information” Proc. ACCV2000 pp.717–722 (2000)
K. Sobottka and I. Pitas: “Extraction of Facial Regions and Features Using Color and Shape Information”, Proc. IAPR 96, Vol.3, pp.421–425 (1996)
G. Xu and T. Sugimoto: “A Software-Based System for Realtime Face Detection and Tracking Using Pan-Tilt-Zoom Controllable Camera”, Proc. ICPR’98, pp.1194–1197 (1998)
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© 2000 Springer-Verlag Berlin Heidelberg
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Ohya, M., Hongo, H., Kato, K., Wang, C., Yamamoto, K. (2000). Multiple Faces Tracking and Zooming System. In: Tan, T., Shi, Y., Gao, W. (eds) Advances in Multimodal Interfaces — ICMI 2000. ICMI 2000. Lecture Notes in Computer Science, vol 1948. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40063-X_22
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DOI: https://doi.org/10.1007/3-540-40063-X_22
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41180-2
Online ISBN: 978-3-540-40063-9
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