Abstract
This paper propose a new algorithm to detect the intruder in room. The basic idea of the proposed method is to estimate the variation of features of the room acoustic transfer function (RTF). The room transfer function is computed by cross-correlation method. There are some methods to measure the RFT. For example there are the image methods, ray tracing method to measure actually the RFT. In this we estimated RTF using white Gaussian noise that is broadband signal. It is important to extract feature vectors. Feature extraction is the process of computing a numerical representation. We used various features to detect intruder. The features based on the short time Fourier transform (STFT) and the zero-crossing rates were used. Several simulations and actually tests show that the proposed method provides good performance for intruder detection.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
