Abstract
The face-tracking systems in use often suffer from converging to a false face-like region in a smart home environment. For this, we propose a technique to reduce errors due to false positives in the estimation scheme of face movement. In the proposed method, the face movement is estimated by using the information on face-candidate blobs obtained from the current frame as well as from the previous frame. This estimated face movement information is used in the face tracker for tracking faces in video images. Our experimental result shows a conspicuous improvement in the performance of the face tracking process in terms of success rates and with robustness against interruptions from face-like blobs.
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© 2008 Springer-Verlag Berlin Heidelberg
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Do, JH., Bien, Z. (2008). Robust Face Tracking with Suppressed False Positives in Smart Home Environment. In: Helal, S., Mitra, S., Wong, J., Chang, C.K., Mokhtari, M. (eds) Smart Homes and Health Telematics. ICOST 2008. Lecture Notes in Computer Science, vol 5120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69916-3_5
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DOI: https://doi.org/10.1007/978-3-540-69916-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69914-9
Online ISBN: 978-3-540-69916-3
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