Acoustic Based Surveillance System for Intrusion Detection

Zieger, Christian; Brutti, Alessio; Svaizer, Piergiorgio

doi:10.1109/avss.2009.49

Cited by 33 publications

(16 citation statements)

References 10 publications

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“…Both levels are controlled by a server where motion detection acts as a backup for the primary face recognition layer. Zieger [5] used audio signals to describe a surveillance system for intrusion detection in home environment. Acoustic sensors were exploited to estimate the acoustic event position in a test room.…”

Section: Introductionmentioning

confidence: 99%

Smart home automation system for intrusion detection

Chowdhry

Paranjape

Laforge

2015

2015 IEEE 14th Canadian Workshop on Information Theory (CWIT)

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In the area of home security and protection, visionbased home automation systems (HAS) play a significant role. In this paper, we present the design and implementation of a smart HAS with incorporated intrusion detection to minimize damages caused by burglary. In addition, the proposed HAS integrates a web server to home appliances in order to remotely access and control their status. Intrusion detection, on the other hand, uses Histogram of Oriented Gradients (HOG) feature descriptors and a Support Vector Machine (SVM) classifier for accurate human detection by smartly rejecting false alarms arising from pets. This system comprised of a simple architecture and requires no human intervention. It allows for prompt accessibility, efficient usage of electricity and provides user convenience.

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Section: Introductionmentioning

confidence: 99%

Smart home automation system for intrusion detection

Chowdhry

Paranjape

Laforge

2015

2015 IEEE 14th Canadian Workshop on Information Theory (CWIT)

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“…Remote acoustic detection has become increasingly important owing to its wide-ranging applications such as large area audio-based surveillance in noncooperative and hostile environments, including intrusion detection, abnormal situation detection in public places, and search and rescue in the field [1,2]. In the last years, many different technologies have been reported to acquire voice information [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Analysis of backscattering characteristics of objects for remote laser voice acquisition

Zeng

Zhang

et al. 2014

Appl. Opt.

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This study is focused on numerical simulation analysis and experimental study regarding the influence of backscattering characteristics of objects for long-range laser voice acquisition. Based on theoretical analysis, three parameters, including surface roughness of an object, incident angle, and refractive index, which will influence the performance of remote scattered reflection laser interference voice acquisition, are investigated and analyzed. After analysis and simulation, an experimental system is set up to demonstrate the influence of backscattering characteristics of an object. The results show that the restored amplitude of a voice signal decreases gradually, corresponding to an increase of surface roughness from 0.4 to 12.5 μm; the incident angle of the measured laser shall reside between 57.32 deg (1 rad) and -57.32 deg (-1 rad); the optimal incident angle is 0 deg for all kinds of objects; and the metal object is a better choice of material selection. In addition, the restored amplitude of a voice signal rises with the attenuation coefficient of metal increasing. It also increases with the refractive index for a nonmetallic object. Comparing a metal to a nonmetallic object, the amplitude of voice signal varies significantly.

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“…It can be used for audio-based surveillance, including intrusion detection [1], abnormal situations detection in public places such as banks, subways, airports, and elevators [2], [3], underwater acoustic environment monitoring [4], and etc.. It can also be used as a complementary source of information for video surveillance and tracking [5], [6], where audio-visual integration has been successfully utilized in a wide range of security applications, such as automatic speech recognition, human activity recognition and human tracking.…”

Section: Introductionmentioning

confidence: 99%

An active multimodal sensing platform for remote voice detection

Wang

Zhu

2010

2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics

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Abstract-To improve the performance and the efficiency of Laser Doppler Vibrometers (LDVs) for long-range hearing, we design an active multimodal sensing platform that integrates a Pan-Tilt-Zoom (PTZ) camera, a mirror and a Pan-Tilt-Unit (PTU) to the LDV. With the assistance of the vision and active control components, the LDV can automatically select the best reflective surfaces, point the laser beam to the selected surfaces, and quickly focus the laser beam. For accomplishing these functions, distance measurement and sensor calibration methods are proposed using the triangulation between the PTZ camera and the mirrored LDV laser beam. Based on both the measured distances and the return signal levels of the LDV, a fast and automatic LDV focusing algorithm is designed. Furthermore, strategies of surface selection and laser pointing are designed for the platform to automatically point the laser beam to the designated surfaces. Experimental results are shown to validate the performance improvement of the LDV in remote automatic voice detection by using the active multimodal sensing platform.

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Acoustic Based Surveillance System for Intrusion Detection

Cited by 33 publications

References 10 publications

Smart home automation system for intrusion detection

Smart home automation system for intrusion detection

Analysis of backscattering characteristics of objects for remote laser voice acquisition

An active multimodal sensing platform for remote voice detection

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