Background clutter suppression and dim moving point targets detection using nonparametric method

Askar, H.; Li, Xiaofeng; Zai-ming, LI

doi:10.1109/icccas.2002.1178952

Cited by 10 publications

(2 citation statements)

References 6 publications

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“…The model is robust and can handle the situations where the background of the scene is cluttered and most static but has subtle motions such as swaying trees. Many other nonparametric background model algorithm are presented in [8][9] [26].…”

Section: Related Workmentioning

confidence: 99%

Foreground Object Detecting Algorithm based on Mixture of Gaussian and Kalman Filter in Video Surveillance

Wang

Sun²,

Peng

2013

JCP

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This paper presents a novel MoG based method for foreground detection and segmentation in video surveillance. Normal MoG is different to deal with the foreground objects that stay in the scene for a long time and segment difficult foreground objects from one blob. We improve MoG by adopting posterior feedback information of Kalman filter tracking, to robustly modeling the background and to perfect the foreground segmentation result. Experiments and comparisons show that our method is robust and accurate in video surveillance.

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Section: Related Workmentioning

confidence: 99%

Foreground Object Detecting Algorithm based on Mixture of Gaussian and Kalman Filter in Video Surveillance

Wang

Sun²,

Peng

2013

JCP

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“…In practice, however, the typical target situation is too complex and not enough prior information is available to implement anything but a MFR or an approximation. For good target resolution, it has thus been necessary to retain a MFR and optimize the signal waveform so as to reduce the mutual interference (self-clutter) between targets [1][2][3]. Moreover, the advent of solid state antenna arrays had its impact on system design in two ways.…”

Section: Introductionmentioning

confidence: 99%

Amplitude and Phase Modulated Pulse Trains for Clutter Rejection in Radar

Farid

Abu-Al-Keshek

2019

International Conference on Aerospace Sciences and Aviation Tec

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In radar systems the very low side-lobes that can be achieved with amplitude and phase modulated pulse trains make their use particularly attractive in systems requiring a large dynamic range. Moreover, the excellent self-clutter rejection performance is obtained without sacrificing the ability for the separation of close targets (no main lobe widening). The additional expense of encoding and decoding in amplitude and phase may be justified for radars that must cope with land clutter or operate in a dense-target environment. This paper presents a method for generating finite length sequences that have high energy ratio and low sidelobe energy in their autocorrelation function. The method is computer based and generates the desired sequence of any given length in an iterative manner starting with a sequence that has relatively low sidelobes in its autocorrelation function. It is shown that energy ratio of polyphase sequences that have low sidelobe energy , is improved through the process of clipping.

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A Mixture of Gaussian-Based Method for Detecting Foreground Object in Video Surveillance

Wang

Sun

Peng

2011

Lecture Notes in Electrical Engineering

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Background clutter suppression and dim moving point targets detection using nonparametric method

Cited by 10 publications

References 6 publications

Foreground Object Detecting Algorithm based on Mixture of Gaussian and Kalman Filter in Video Surveillance

Foreground Object Detecting Algorithm based on Mixture of Gaussian and Kalman Filter in Video Surveillance

Amplitude and Phase Modulated Pulse Trains for Clutter Rejection in Radar

A Mixture of Gaussian-Based Method for Detecting Foreground Object in Video Surveillance

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