SOFTWARE AND HARWARE IMPLEMENTATION OF DIGITAL AUDIO WATERMARKING
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): G. N RATHNA , MADHUPARNA CHAKRABORTY
Abstract: Many digital files are shared nowadays through internet especially due to the increase in the number of cell phone users. However, digital files can be easily copied, distributed, and altered leading to the copyright infringement of intellectual property. One way to prevent this is by using watermarking technique. The file in which watermark is embedded can be audio, image, text or video file. In this paper watermarking on audio file is done. The audio watermarking algorithm using fast Fourier transform is studied here. The watermarking system consists of two main steps watermark embedding and watermark extraction system. The technique used here is to put the watermark into the selected prominent peaks of the magnitude spectrum of the audio signal. The reason of hiding the watermark in this position is that it will be imperceptible for the human auditory system. The algorithm is also implemented on Beagle board hardware for online operation
- Publication Date: 26-Oct-2014
- DOI: 10.15224/978-1-63248-029-3-78
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KALMAN FILTER AND PROJECTION HISTOGRAM BASED PEOPLE COUNTING
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): ADITYA PIRATLA , JAYALAKSHMI SURENDRAN , SATHISH KUMAR SHIVAGURUNATHAN
Abstract: This paper presents an algorithm for real time people counting using a stationary camera for outdoor and indoor scenarios. The objective of the algorithm is to count the number of people entering or leaving a particular area by checking for the crossing of a user defined line. The algorithm implemented consists of four modules. The first module deals with image segmentation where in the information obtained from the camera frames are converted into foreground objects using a temporal difference based algorithm, followed by a computation of an undirected optimized graph to establish the relationship between the foreground objects of two consecutive frames. The second module is related to object tracking using a Kalman based tracking mechanism. The third module is the object crossing detection module which discusses three techniques namely block matching, optimized block matching and a simple region crossover. The last module is related to counting based on a projection histogram based m
- Publication Date: 26-Oct-2014
- DOI: 10.15224/978-1-63248-029-3-79
- Views: 0
- Downloads: 0