کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
394768 665841 2011 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A lattice-based neuro-computing methodology for real-time human action recognition
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A lattice-based neuro-computing methodology for real-time human action recognition
چکیده انگلیسی

This work describes a computational approach for a typical machine-vision application, that of human action recognition from video streams. We present a method that has the following advantages: (a) no human intervention in pre-processing stages, (b) a reduced feature set, (c) modularity of the recognition system and (d) control of the model’s complexity in acceptable for real-time operation levels. Representation of each video frame and feature extraction procedure are formulated in the lattice theory context. The recognition system consists of two components: an ensemble of neural network predictors which correspond to the training video sequences and one classifier, based on the PREMONN approach, capable of deciding at each time instant which known video source has potentially generated a new sequence of frames. Extensive experimental study on three well known benchmarks validates the flexibility and robustness of the proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 181, Issue 10, 15 May 2011, Pages 1874–1887
نویسندگان
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