Infrared pyroelectric sensor for detection of vehicular traffic using digital signal processing techniques

Hussain, T M; Baig, Ali; Saadawi, Tarek; Ahmed, Sam

doi:10.1109/25.406637

Cited by 41 publications

(21 citation statements)

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“…On the other hand, the literature demonstrates that PIR sensors are able to extract kinds of features and accordingly to distinguish people's behavior, gait, position, distance and etc. However, PIR sensors are not patent for human detection but also other targets such as vehicles [3,4]. Therefore it is natural to use PIR sensors to detect multitarget and classify them.…”

Section: Related Workmentioning

confidence: 99%

“…Beyond these characteristics, it provides accurate information for target presence and even the number of targets. Nowadays, many security systems have made PIR sensors to be a good alarm of intrusion [1] and a precise counter for targets who are not only people [2] but also vehicles [3,4] and so on. However, previous works mostly concentrate on detecting while we use PIR sensors to classify targets after detecting.…”

Section: Introductionmentioning

confidence: 99%

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Target Classification Using Pyroelectric Infrared Sensors in Unattended Wild Ground Environment

Xie

Liu

et al. 2013

International Journal on Smart Sensing and Intelligent Systems

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Target Classification Using Pyroelectric Infrared Sensors in Unattended Wild Ground Environment

Xie

Liu

et al. 2013

International Journal on Smart Sensing and Intelligent Systems

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“…Therefore, researchers have attempted to combine their merits to develop the distributed sensor networks based on pyroelectric infrared sensors [3,4]. In order to identify human objects, the pyroelectric infrared sensors have many advantages as follows:…”

Section: Introductionmentioning

confidence: 99%

Fusion of Multiple Pyroelectric Characteristics for Human Body Identification

Wan-chun¹,

Xiong²,

Li³

et al. 2014

Algorithms

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Due to instability and poor identification ability of single pyroelectric infrared (PIR) detector for human target identification, this paper proposes a new approach to fuse the information collected from multiple PIR sensors for human identification. Firstly, Fast Fourier Transform (FFT), Short Time Fourier Transform (STFT), Wavelet Transform (WT) and Wavelet Packet Transform (WPT) are adopted to extract features of the human body, which can be achieved by single PIR sensor. Then, we apply Principal Component Analysis (PCA) and Support Vector Machine (SVM) to reduce the characteristic dimensions and to classify the human targets, respectively. Finally, Fuzzy Comprehensive Evaluation (FCE) is utilized to fuse recognition results from multiple PIR sensors to finalize human identification. The pyroelectric characteristics under scenarios with different people and/or different paths are analyzed by various experiments, and the recognition results with/without fusion procedure are also shown and compared. The experimental results demonstrate our scheme has improved efficiency for human identification.

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“…A similar approach is proposed in [11] for traffic monitoring, with the exception that two physically separated nodes are used for that pur pose. The parameter () is used to adjust the overlap of the respective FOV s of the two sensors.…”

Section: Human Detection and Countingmentioning

confidence: 99%

Wireless sensor networks for activity monitoring using multi-sensor multi-modal node architecture

Hung¹,

Tahir²,

Farrell³

et al. 2009

IET Irish Signals and Systems Conference (ISSC 2009)

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-A multi-sensor, multi-modal sensor node for human and vehicle activity moni toring is designed and developed. As a first step to achieve our objective, we have used a dual pyroelectric IR (PIR) sensor system for human activity monitoring. The sampled data from two PIR sensors, under laboratory conditions, is first processed individually to determine the event window size, which is then fed to simple algorithms to determine direction and poten tially measure speed of passing humans. We also show that human count can be obtained for some special scenarios. Preliminary results of our experimentation show the effectiveness of the simple algorithms proposed.

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Infrared pyroelectric sensor for detection of vehicular traffic using digital signal processing techniques

Cited by 41 publications

References 0 publications

Target Classification Using Pyroelectric Infrared Sensors in Unattended Wild Ground Environment

Target Classification Using Pyroelectric Infrared Sensors in Unattended Wild Ground Environment

Fusion of Multiple Pyroelectric Characteristics for Human Body Identification

Wireless sensor networks for activity monitoring using multi-sensor multi-modal node architecture

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