کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
526067 | 869058 | 2008 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Independent increment processes for human motion recognition
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
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چکیده انگلیسی
This paper describes an algorithm for classifying human motion patterns (trajectories) observed in video sequences. We address this task in a hierarchical way: high-level activities are described as sequences of low-level motion patterns (dynamic models). These low-level dynamic models are simply independent increment processes, each describing a specific motion regime (e.g., “moving left”). Classifying a trajectory thus consists in segmenting it into the sequence its low-level components; each sequence of low-level components corresponds to a high-level activity. To perform the segmentation, we introduce a penalized maximum-likelihood criterion which is able to select the number of segments via a novel MDL-type penalty. Experiments with synthetic and real data illustrate the effectiveness of the proposed approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Vision and Image Understanding - Volume 109, Issue 2, February 2008, Pages 126-138
Journal: Computer Vision and Image Understanding - Volume 109, Issue 2, February 2008, Pages 126-138
نویسندگان
J. Nascimento, M. Figueiredo, J. Marques,