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Fast algorithm for moving target detection
2017 36th Chinese Control Conference (CCC), 2017In this paper, a moving target detection algorithm which combines background estimation and BING (Binarized Normed Gradients) Objectness is proposed in video surveillance. A simple background estimation method is used to detect a set of rough moving foreground in image, objectness detection within the foreground set will estimate another set of ...
Jian Chen +5 more
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Detection of moving targets from a moving ground platform
SPIE Proceedings, 2009Semi-autonomous operation of intelligent vehicles may require that such platforms maintain a basic situational awareness with respect to people, other vehicles and their intent. These vehicles should be able to operate safely among people and other vehicles, and be able to perceive threats and respond accordingly. A key requirement is the ability to
Thomas B. Sebastian +3 more
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Measurements-based Moving Target Detection in Quantum Video
International Journal of Theoretical Physics, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yan, Fei +3 more
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Moving target detection under sparse foliage
2018 IEEE Radar Conference (RadarConf18), 2018Foliage Penetration Radar has been used for detecting and characterizing objects under dense foliage. It normally requires a long wavelength and ultra-wideband waveforms for resolution, along with operation in a dense RF environments. However, when detection of slowly moving targets are desired in sparse foliage; a new approach is available for ...
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Moving Target Detection in Distributed MIMO Radar on Moving Platforms
IEEE Journal of Selected Topics in Signal Processing, 2015This paper examines moving target detection in distributed multi-input multi-output radar with sensors placed on moving platforms. Unlike previous works which were focused on stationary platforms, we consider explicitly the effects of platform motion, which exacerbate the location-induced clutter non-homogeneity inherent in such systems and thus make ...
Hongbin Li +3 more
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Research of Moving Targets Detection and Identification
2009 Second International Conference on Intelligent Computation Technology and Automation, 2009Accurate detection of moving targets is the main contents of researching for computer vision and image encoding, which has an extensive applicative prospect. The traditional dynamic template matching algorithm has the disadvantage when it detects the affine deformation target, it is easy to distinguish the target by mistake.
Jin Min, Shi Lei
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Detection of radar targets moving with acceleration
2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS), 2017A chirplet transform-based algorithm for detection of radar targets moving with a constant acceleration is analyzed. An analytical expression has been derived for the ambiguity function of the chirp signal to be analyzed with regard to detection of such targets.
Volodymyr G. Galushko, Dmytro M. Vavriv
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Ultra-wideband ground moving target detection
2020This chapter investigates ground moving target radar modes for surveillance from air-to-ground radar systems. This mode has been important, starting with both Multiple Aperture Surveillance Radar (MASR) and Standoff Target Acquisition System (SOTAS) to detect slow-moving targets in a battlefield environment.
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Detecting multiple moving targets using deformable contours
Proceedings of International Conference on Image Processing, 2002This paper presents a framework for detecting multiple moving moving objects in a sequence of images. Using a statistical approach, where the inter-frame difference is modeled by a mixture of two Laplacian distributions and a deformable contour-based energy minimization approach, we reformulate the motion detection problem as a front propagation ...
N. Paragios, R. Deriche
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Multispectral correlation moving target detection and tracking
SPIE Proceedings, 2003This paper presents feasibility studies of a multispectral moving target detection (MTD) system designed to detect and track low-signature moving targets. The system performs multispectral detection based on linear and nonlinear maximum discrimination and representation features (MRDF) for low-signature target detection and correlation tracking of ...
Andrew A. Kostrzewski +6 more
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