Tracking and Recognition of Multiple Human Targets Moving in a Wireless Pyroelectric Infrared Sensor Network

Abstract

With characteristics of low-cost and easy deployment, the distributed wireless pyroelectric infrared sensor network has attracted extensive interest, which aims to make it an alternate infrared video sensor in thermal biometric applications for tracking and identifying human targets. In these applications, effectively processing signals collected from sensors and extracting the features of different human targets has become crucial. This paper proposes the application of empirical mode decomposition and the Hilbert-Huang transform to extract features of moving human targets both in the time domain and the frequency domain. Moreover, the support vector machine is selected as the classifier. The experimental results demonstrate that by using this method the identification rates of multiple moving human targets are around 90%.

Abnormal Activity Detection Using Pyroelectric Infrared Sensors

“…In [16], three PIR sensor models which are deployed in a hallway are used to detect the movement of eight human targets, including the two moving directions, three distance intervals and three speed levels. PIR sensor models can also be used to construct wireless sensor networks, which are intended to track and recognize multiple human targets [17]. Using only the binary information obtained by infrared sensors attached to the ceiling of a room, the human positions can be estimated, and even the number of humans in the room changes dynamically [18].…”

Research on the Multiple Factors Influencing Human Identification Based on Pyroelectric Infrared Sensors

“… They are independent of illumination and have strong robustness to background color changes. The sensitivity range of their angular rate is about 0.1 rad/s to 3 rad/s, in a distance of less than 15 m [ 7 ]. They can obtain better field of view (FOV) when combined with a low price Fresnel lens array.…”

“… They can obtain better field of view (FOV) when combined with a low price Fresnel lens array. Thus, compared with traditional video systems, the use of distributed wireless pyroelectric sensor networks can provide better spatial coverage and reduce the time restrictions of system deployment [ 7 , 8 , 9 ]. …”

Triglycine sulphate and its deuterated analog in polyurethane matrix for thermal/infrared detection: A comparison

“…17,[21][22][23][24][25] One recent and important application is their use is in waste energy harvesting for microelectric generators. The detected energy in the form of temperature rise is transformed into electrical pulses proportional to the temperature difference between the surfaces of the detector.…”

“…The uncooled pyroelectric infrared detectors are in great demand for many applications and a few of them are: atmospheric temperature measurement, earth position sensing, infrared detection, fire alarm operation, pollution detection, remote sensing, biomedical imaging etc. 17,[21][22][23][24][25] One recent and important application is their use is in waste energy harvesting for microelectric generators. 26 In this paper, we discuss the properties of TGS/PU and DTGS/PU composites for pyroelectric infrared detection applications.…”