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LiDAR target detection and classification for ship situational awareness: A hybrid learning approach
Filippo Ponzini +2 more
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Targeted use of technology to assist with fall risk classification in older adults
, 2018 Drew Commandeur
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On target classification using kinematic data
Information Fusion, 2004Abstract The use of kinematic measurements for target classification has been explored recently by several authors. This paper formulates the general framework for optimal Bayesian estimation of target state and class. Since target class is a non-evolutionary attribute, the solution is conceptually based on a static multiple-class filter.
Branko Ristic, Neil T Gordon
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Classification with probabilistic targets
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012Modern robotic platforms, deployed for environmental monitoring and mapping, are able to rapidly accumulate large data sets. Whilst the data sets collected by these platforms are highly descriptive, they are often too large for human experts to analyse exhaustively.
Asher Bender +2 more
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The Influence of Target Orientation on the Underground Targets Classification
2019 IEEE 19th International Conference on Communication Technology (ICCT), 2019Underground target detection and classification have been widely used in various fields. With the development of industrialization, The require for accurate classification of underground targets in various fields is becoming more and more urgent. The orientation of the underground targets are unknown and has an influence on the classification result ...
Shihong Duan +5 more
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Resource-Constrained Target Classification on Distant Aerial Targets
2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2021As UAVs are expected to expand, there is a need to perform efficient target classification within a resource-constrained environment. This paper investigate developing, training, and testing custom classifier models. These lightweight models offer reduced computation resource consumption and processing delay while improving inference accuracy over ...
Nicholas A. Speranza +2 more
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Acoustic classification of submerged targets
ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005Broadband signal processing techniques have introduced new possibilities in acoustic classification through detailed examination of the target's form function (backscattered pressure vs frequency). The form function is unique for a body of given size, shape and composition and correlation with analytically or empirically obtained form function ...
Susan K. Numrich +2 more
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A hybrid system for target classification
Pattern Recognition Letters, 1997Abstract We describe a template-matching based system for discriminating among a number of ground vehicles using their one-dimensional vertical-profile signatures obtained from airborne HRR sensors. We present results obtained by using optimal-sized, variable-width sub-targets and multiple profiles from the target for recognition.
Raj Bhatnagar +2 more
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A Possibilistic Approach to Target Classification
2000Abstract: This chapter describes an alternative to the Bayesian approach to target classification that is based on possibility theory. A possibilistic classifier minimizes the maximum cost of the classification decision taking into account the a posteriori possibilities of the target classes given the measured target attributes.
Huizing, A.G., Groen, F.C.A.
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