کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6867481 680432 2015 31 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application of acoustic directional data for audio event recognition via HMM/CRF in perimeter surveillance systems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Application of acoustic directional data for audio event recognition via HMM/CRF in perimeter surveillance systems
چکیده انگلیسی
This work reports an audio event identification methodology implemented as a test-bed system for a surveillance application to reduce FAR, maximize blind-spot coverage and improve audio event classification accuracy. The first phase utilizes a nonlinear autoregressive classifier to locate and classify discrete audio events via an exogenous sound direction variable to improve classifier confidence. The second phase implements a time-series-based system to recognize various audio activity groups from nominal everyday sound events such as traffic and muffled speech. The discretely labeled data is thus trained with HMM and Conditional Random Field classifiers and reports a substantial improvement in classification accuracies of indoor human activities.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Robotics and Autonomous Systems - Volume 72, October 2015, Pages 15-28
نویسندگان
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