Track before Detect Algorithms

Boers, Y.; Ehlers, Frank; Koch, Wolfgang; Luginbuhl, Tod; Stone, Lawrence D.; Streit, Roy L.

doi:10.1155/2008/413932

Cited by 29 publications

(12 citation statements)

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“…In traditional tracking methods, thresholding, clustering, extracting and tracking procedures are carried out consecutively. On the other hand, TkBD method performs all the steps concurrently [17,18]. TkBD merges detection and estimation phases by eliminating the detection algorithm from the process and supplying the whole sensor frame directly to the tracker.…”

Section: Basic Structure Of H-pmhtmentioning

confidence: 99%

Reducing Processing Time for Histogram PMHT Algorithm in Video Object Tracking

Pakfiliz¹

2018

Electrica

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This paper describes a novel approach for reducing the processing time of the histogram probabilistic multi-hypothesis tracker (H-PMHT) algorithm in video applications. Video data of flying vehicles is taken from surface to air, and a temporal difference-based technique is applied to video frames for meeting the intensity demands of H-PMHT algorithm. This technique also enables discrimination between objects and eliminates clutter. Variations between the structures of the standard and the improved version of H-PMHT algorithms are described. In addition, the improved H-PMPT is compared with the standard H-PMHT and another approved tracking algorithm to evaluate the performance and processing time reduction ratings.

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Section: Basic Structure Of H-pmhtmentioning

confidence: 99%

Reducing Processing Time for Histogram PMHT Algorithm in Video Object Tracking

Pakfiliz¹

2018

Electrica

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“…There are numerous TBD algorithms [ 26 ], but only deterministic algorithms should be applied. The non-deterministic approach gives computationally-efficient particle filter TBD algorithms [ 27 , 28 ], but not all trajectories are tested.…”

Section: Conventional and Track-before-detect Approachesmentioning

confidence: 99%

Frequency Management for Electromagnetic Continuous Wave Conductivity Meters

Mazurek

Putynkowski²

2016

Sensors

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Ground conductivity meters use electromagnetic fields for the mapping of geological variations, like the determination of water amount, depending on ground layers, which is important for the state analysis of embankments. The VLF band is contaminated by numerous natural and artificial electromagnetic interference signals. Prior to the determination of ground conductivity, the meter’s working frequency is not possible, due to the variable frequency of the interferences. Frequency management based on the analysis of the selected band using track-before-detect (TBD) algorithms, which allows dynamical frequency changes of the conductivity of the meter transmitting part, is proposed in the paper. Naive maximum value search, spatio-temporal TBD (ST-TBD), Viterbi TBD and a new algorithm that uses combined ST-TBD and Viterbi TBD are compared. Monte Carlo tests are provided for the numerical analysis of the properties for a single interference signal in the considered band, and a new approach based on combined ST-TBD and Viterbi algorithms shows the best performance. The considered algorithms process spectrogram data for the selected band, so DFT (Discrete Fourier Transform) could be applied for the computation of the spectrogram. Real–time properties, related to the latency, are discussed also, and it is shown that TBD algorithms are feasible for real applications.

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“…Track-Before-Detect (TBD) approach is based on the different processing idea [13], [14], [15]. All possible trajectories are analyzed using available data and the detection is possible after this operation.…”

Section: Track-before-detect Algorithmsmentioning

confidence: 99%

Line estimation using the Viterbi algorithm and track-before-detect approach for line following mobile robots

Mazurek

2014

2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR)

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Line following robots requires image acquisition and processing algorithms for the determination of the line trajectory. The Viterbi algorithm is proposed for the estimation of the line trajectory in this paper. The robustness of this algorithm is verified using the Monte Carlo approach for two distortions types: additive Gaussian noise and false lines sets. The results show possibilities of reliable estimation, even if the real line is hidden in the noise, without the application of additional estimators based on the previous measurements.

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Track before Detect Algorithms

Cited by 29 publications

References 0 publications

Reducing Processing Time for Histogram PMHT Algorithm in Video Object Tracking

Reducing Processing Time for Histogram PMHT Algorithm in Video Object Tracking

Frequency Management for Electromagnetic Continuous Wave Conductivity Meters

Line estimation using the Viterbi algorithm and track-before-detect approach for line following mobile robots

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