We demonstrate a system capable of tracking, in real world image sequences, landmarks such as eyes, mouth, or chin on a face. In a first version knowledge previously collected about faces is used for finding the landmarks in the first frame. In a second version the system is able to track the face without any prior knowledge about faces and is thus applicable to other object classes.
CITATION STYLE
Maurer, T., & Von Der Malsburg, C. (1996). Tracking and learning graphs on image sequences of faces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1112 LNCS, pp. 323–328). Springer Verlag. https://doi.org/10.1007/3-540-61510-5_57
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