Multiple Kernelized Correlation Filters (MKCF) for Extended Object Tracking Using <i>X</i>-Band Marine Radar Data

Zhou, Yi; Wang, Tian; Hu, Ronghua; Su, Hang; Liu, Yi; Liu, Xiaoming; Suo, Jidong; Snoussi, Hichem

doi:10.1109/tsp.2019.2917812

Cited by 42 publications

(19 citation statements)

References 33 publications

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“…The RSS works similar to the other types of wireless signal analysis, but it spans over a wide range of frequency(10 -80 MHz) instead of focusing at a narrow bandwidth. Similar to the sensors reported in the literature, the change in dielectric permittivity with respect to the temperature would alter the RSS, and this is the working mechanism of the sensor presented in this work[8][9][10][11][12][13][14][15]. Theoretically, the change in dimension of the IDE of capacitor and the inductor could alter RSS also, and the change in dimension would be associated with the thermal expansion coefficient effect.…”

supporting

confidence: 58%

“…we compare it to a database of frequency response vectors at known temperatures, which we call signatures. This is similar to matched filtering, which is used in RADAR systems and digital communications [15,16]. We use two signal processing approaches to complete the matching: crosscorrelation and maximum absolute error.…”

Section: Modeling and Simulation Of The Lc Resonatormentioning

confidence: 99%

“…In literature [8][9][10][11][12][13][14][15] The electrical conductivity is also a function of temperature and is shown in figure fig. 8.…”

Section: Wireless Characterizationmentioning

confidence: 99%

“…several aspects of the wireless signal processing techniques were utilized to analyze the output signal from the RF sensors. A general trend in the signal processing of RF based sensor relies on the change in impedance (S11 parameter) parameter or shift in the phase angle ( o ) with respect to the sensing medium[8][9][10][11][12][13][14][15]. The reported literatures were focused on developing RF based wireless sensors to operate at a particular frequency known as resonant frequency which shifts as a function of temperature (or any other measuring parameter).…”

mentioning

confidence: 99%

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Micromachined Ceramic-based Chipless LC Resonator for High-Temperature Wireless Sensing Application in Harsh Environments

Idhaiam

Sabolsky

Redinger

et al. 2020

Preprint

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Abstract The primary objective of this work was the fabrication and testing of a wireless LC resonator based on micro-patterned electroceramic materials for the monitoring of high-temperature systems. The two-dimensional planar LC resonator sensors were designed and simulated using ANSYS Maxwell software, and these sensors were then fabricated from electrically conductive La 2 NiO 4 /Al 2 O 3 particulate inks. The patterning and deposition of the ink were completed using a novel micro-casting process onto Al 2 O 3 ceramic substrates, and the final pattern was bonded onto the substrate at 1200 o C for 2 h. The final patterned materials were characterized using X-ray diffraction (XRD), scanning electron microscope (SEM), and four-point conductivity to characterize the phase and microstructure development, and the resultant electrical conductivity (at 500-1200 o C), respectively. The frequency shift with respect to temperature was measured, which is directly related to changes in the sensor’s dielectric permittivity and pattern dimensions. The sensors were characterized at 500 – 1000 o C in an ambient atmosphere with an RF signal ranging from 10 – 80 MHz at 175 kHz·s -1 sweep rate. A new robust and adaptive signal processing approach was introduced to increase the degree of freedom for analyzing the wireless sensors.

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supporting

confidence: 58%

Section: Modeling and Simulation Of The Lc Resonatormentioning

confidence: 99%

“…In literature [8][9][10][11][12][13][14][15] The electrical conductivity is also a function of temperature and is shown in figure fig. 8.…”

Section: Wireless Characterizationmentioning

confidence: 99%

mentioning

confidence: 99%

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Micromachined Ceramic-based Chipless LC Resonator for High-Temperature Wireless Sensing Application in Harsh Environments

Idhaiam

Sabolsky

Redinger

et al. 2020

Preprint

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“…The kernel correlation filter (KCF) [12] is a suitable algorithm for tracking targets and has good efficiency for tracking various objects [13][14][15][16][17]. It is combined with the discriminative appearance model to form the dual correlation filter (DCF).…”

Section: Tracking Methodsmentioning

confidence: 99%

A Novel Vehicle Tracking ID Switches Algorithm for Driving Recording Sensors

Zhao

Zhou

et al. 2020

Sensors

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The main task for real-time vehicle tracking is establishing associations with objects in consecutive frames. After occlusion occurs between vehicles during the tracking process, the vehicle is given a new ID when it is tracked again. In this study, a novel method to track vehicles between video frames was constructed. This method was applied on driving recorder sensors. The neural network model was trained by YOLO v3 and the system collects video of vehicles on the road using a driving data recorder (DDR). We used the modified Deep SORT algorithm with a Kalman filter to predict the position of the vehicles and to calculate the Mahalanobis, cosine, and Euclidean distances. Appearance metrics were incorporated into the cosine distances. The experiments proved that our algorithm can effectively reduce the number of ID switches by 29.95% on the model trained on the BDD100K dataset, and it can reduce the number of ID switches by 32.16% on the model trained on the COCO dataset.

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X-band Radar Detection Target Tracking Method Based on Internet of Things Sensing Technology

Yan¹,

Xiong²,

Gao³

et al. 2022

IoT and Big Data Technologies for Health Care

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Multiple Kernelized Correlation Filters (MKCF) for Extended Object Tracking Using X-Band Marine Radar Data

Cited by 42 publications

References 33 publications

Micromachined Ceramic-based Chipless LC Resonator for High-Temperature Wireless Sensing Application in Harsh Environments

Micromachined Ceramic-based Chipless LC Resonator for High-Temperature Wireless Sensing Application in Harsh Environments

A Novel Vehicle Tracking ID Switches Algorithm for Driving Recording Sensors

X-band Radar Detection Target Tracking Method Based on Internet of Things Sensing Technology

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