Example-based head tracking

作者: S. Niyogi , W.T. Freeman

DOI: 10.1109/AFGR.1996.557294

关键词:

摘要: We want to estimate the pose of human heads. This estimation involves a nonlinear mapping from input image an output parametric description. characterize through examples training set, outputting nearest example neighbor input. is vector quantization, with modification that we store parameter code each quantized code. For efficient indexing, use tree-structured quantizer (TSVQ). make design choices based on application monitoring automobile driver's face. The reliance stored data over computation power allows system be simple; organization it fast. incorporate tracking in position and scale within same quantization framework virtually no cost added computation. show reasonable experimental results for real-time prototype running inexpensive workstation.

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