target detection and classification using seismic and pir sensors

Target Detection and Classification Using Seismic and PIR Sensors Abstract: Unattended ground sensors (UGS) are widely used to monitor human activities, such as pedestrian motion and detection of intruders in a secure region. Efficacy of UGS systems is often limited by high false alarm rates, possibly due to inadequacies of the underlying algorithms and limitations of onboard computation. In ...

DOI: / Corpus ID: 16181476. Target Detection and Classification Using Seismic and PIR Sensors article{Jin2012TargetDA, title={Target Detection and Classification Using Seismic and PIR Sensors}, author={X. Jin and S. Sarkar and A. Ray and S. Gupta and T. Damarla}, journal={IEEE Sensors Journal}, year={2012}, volume={12}, pages={17091718} }

The proposed method has been validated on data sets of seismic and passive infrared (PIR) sensors for target detection and classification. The proposed method has the advantages of fast execution ...

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The proposed method has been validated on data sets of seismic and passive infrared sensors for target detection and classification, as well as for payload and movement type identification of the targets. The proposed method has the advantages of fast execution time and low memory requirements and is potentially wellsuited for realtime implementation with onboard UGS systems. Unattended ...

The proposed method has been validated on data sets of seismic and passive infrared (PIR) sensors for target detection and classification, as well as for payload and movement type identification ...

One of the most challenging problems in target classification is the extraction of a robust feature, which can effectively represent a specific type of targets. The use of seismic signals in unattended ground sensor (UGS) systems makes this problem more complicated, because the seismic target signal is nonstationary, geologydependent and with highdimensional feature space. This paper ...

The proposed method has been validated on data sets of seismic and passive infrared sensors for target detection and classification, as well as for payload and movement type identification of the targets. The proposed method has the advantages of fast execution time and low memory requirements and is potentially wellsuited for realtime implementation with onboard UGS systems. Original ...

Fig. 8. (a) Human without payload. (b) Human with payload. (c) Animal without payload. (d) Animal with payload. Examples of seismic sensor measurements (top) and the corresponding feature vectors extracted by SDF (bottom) for payload identification. "Target Detection and Classification Using Seismic and PIR Sensors"

In this regard, this paper presents a waveletbased method for target detection and classification. The proposed method has been validated on data sets of seismic and passive infrared sensors for target detection and classification, as well as for payload and movement type identification of the targets. The proposed method has the advantages of fast execution time and low memory requirements ...

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20111123· Target Detection and Classification Using Seismic and PIR Sensors Abstract: Unattended ground sensors (UGS) are widely used to monitor human activities, such as pedestrian motion and detection of intruders in a secure region. Efficacy of UGS systems is often limited by high false alarm rates, possibly due to inadequacies of the underlying algorithms and limitations of onboard …

20130704· The WPMbased classification method enables seismic sensor nodes to carry out precise classification, it does not require the target to be at a certain range from the sensor nodes or a very homogenous underlying geology conditions. Thanks to the excellent merits of WPM in lowdimensionality and feature robustness, the WPMC is very suitable for UGS. Nevertheless, the WPMC …

20111123· Target Detection and Classification Using Seismic and PIR Sensors. Abstract: Unattended ground sensors (UGS) are widely used to monitor human activities, such as pedestrian motion and detection of intruders in a secure region. Efficacy of UGS systems is often limited by high false alarm rates, possibly due to inadequacies of the underlying ...

Theproposed method has been validated on data sets of seismic andPassive Infrared sensors (PIR) for target detection and classification,as well as for payload and movement type identification ofthe targets. The proposed method has the advantages of fastexecution in less time and low memory requirements and is potentiallywellsuited for realtime implementation with onboard UGSsystems.

In this regard, this paper presents a waveletbased method for target detection and classification. The proposed method has been validated on data sets of seismic and passive infrared sensors for target detection and classification as well as for payload and movement type identification of the targets. The proposed method has the advantages of fast execution time and low memory requirements ...

The PIR detector is mainly composed of four PIR modules, a reference structure, and a control unit, where the detection angle of a PIR module is about 110 degrees, and the maximum detection ranges are 5~7 m at the center and 3~4 m at the edge, respectively. With the above sensing characteristics, a reference structure is proposed to perform indoor localization. As shown in

20151029· IEEE SENSORS JOURNAL, VOL. 12, NO. 6, JUNE 2012 1709 Target Detection and Classification Using Seismic and PIR Sensors Xin Jin, Student Member, IEEE, …

In the proposed system PIR and seismic sensors are used in target detection. The PIR Sensor is used to track down whether the moving object is living body or machine. If it is living body, the seismic sensor is used to track down whether it is human being or animal based on the absorbed signals. If it is vehicle, then seismic sensor is used to ...

20121001· Seismic and PIR sensors have their own advantages and disadvantages for target detection and classification. The seismic sensor is omnidirectional and has a long range of detection, whereas a PIR sensor has a limited field of view (less than 180 ), which restricts the sensor from detecting target moving behind it. The seismic sensor is not siteindependent and is vulnerable …

Detection of Target and Implemented By Using Seismic and Pir Sensors 1 ... In this regard, this paper presents awaveletbased method for target detection and classification. Theproposed method has been validated on data sets of seismic andPassive Infrared sensors (PIR) for target detection and classification,as well as for payload and movement type identification ofthe targets. The proposed ...