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Improving Integrality of Detected Moving Objects Based on Image Matting

Chinese Journal of Electronics 2025年第4期23卷 742-746页

作者： Liang Zhang Haili Wang Tao Deng Xiaomei He Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China Training Center of Engineering Technology Civil Aviation University of China Tianjin China

The integrality of moving objects is the basis for video-based object tracking and action analysis. But it often becomes unreliable as a result of shadow elimination when the object has similar properties with real shadow. The proposed methods manage to improve the integrality of detected moving objects as much as possible, by image matting operated on candidate shadow regions. Existing approaches for image matting require manual labeling of foreground and background. Considering the moving feature points in shadow may cause classification errors, we propose automatic scribbling methods based on Scale invariant feature transform (SIFT) and Speeded-up robust feature (SURF) respectively. Experiments demonstrate that our methods eliminate real shadow effectively and improve object segmentation in the case of object parts and shadows presenting similar characteristics.

关键词： Object segmentation Transforms Manuals Object tracking labeling

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Intelligent checking model of Chinese radiotelephony read-backs in civil aviation air traffic control

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Chinese Journal of Aeronautics 2018年第12期31卷 2280-2289页

作者： Guimin JIA Fangyuan CHENG Jinfeng YANG Dan LI Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

Federal Aviation Administration(FAA) and NASA technical reports indicate that the misunderstanding in radiotelephony communications is a primary causal factor associated with operation errors, and a sizable proportion of operation errors lead to read-back errors. We introduce deep learning method to solve this problem and propose a new semantic checking model based on Long Short-Time Memory network(LSTM) for intelligent read-back error checking. A meanpooling layer is added to the traditional LSTM, so as to utilize the information obtained by all the hidden activation vectors, and also to improve the robustness of the semantic vector extracted by LSTM. A MultiLayer Perceptron(MLP) layer, which can maintain the information of different regions in the concatenated vectors obtained by the mean-pooling layer, is applied instead of traditional similarity function in the new model to express the semantic similarity of the read-back pairs quantitatively. The K-Nearest Neighbor(KNN) classifier is used to verify whether the read-back pairs are consistent in semantics according to the output of MLP layer. Extensive experiments are conducted and the results show that the proposed model is more effective and more robust than the traditional checking model to verify the semantic consistency of read-backs automatically.

关键词： Air traffic control Chinese radiotelephony read-backs LSTM Mean pooling MLP Semantic checking

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Image Restoration and Enhancement for Finger-Vein Recognition

Image Restoration and Enhancement for Finger-Vein Recognitio...

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2012 IEEE 11th International Conference on signal processing(ICSP 2012)

作者： Yihua Shi Jinfeng Yang Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

ISBN: (纸本)9781467321969

Finger-vein recognition has been a hot topic in biometrics community. However, finger-vein images are always poor in quality. This is very unhelpful for finger-vein feature analysis in practice. Considering the light propagation behavior in biological tissue and the variations of veins in orientation and diameter, in this paper, we propose an effective finger-vein image enhancement method based on scattering removal and a bank of even Gabor filters. The experimental results show that the proposed method has a good performance in venous region enhancement and can improve the finger-vein recognition accuracy significantly.

关键词： image Gabor Image Restoration and Enhancement for Finger-Vein Recognition

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Optimal Strategy of DME Beacon Distrbution for DME/DME Area Navigation

Optimal Strategy of DME Beacon Distrbution for DME/DME Area ...

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2012 IEEE 11th International Conference on signal processing(ICSP 2012)

作者： Shuyu Li Yude Ni Na Cai Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

ISBN: (纸本)9781467321969

Distance measuring equipment (DME) is important ground based navigation system for implementation of area navigation (RNAV), and its positioning accuracy is directly related to geometric dilution of precision (GDOP). For the distribution of three DME beacons, this paper establishes the GDOP algorithm model based on DME/DME RNAV, the GDOP calculation is deduced, and the relation between GDOP and DME ground station distribution is given. The affection of the geometric configuration and the baseline length of DME stations, and of the aircraft height on GDOP values are studied and simulated by MATlab. The optimal methods of DME beacon distribution for DME/DME RNAV are proposed in this paper, and all these results will provide theoretical guidance for implementation of DME/DME RNAV in China.

关键词： geometric dilution of precision (GDOP) Strategy of DME beacon distribution area navigation (RNAV) performance based navigation (PBN)

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A Method of Multispectral Finger-Vein Image Fusion

A Method of Multispectral Finger-Vein Image Fusion

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2012 IEEE 11th International Conference on signal processing(ICSP 2012)

作者： Jinfeng Yang Yongshuang Jia Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

ISBN: (纸本)9781467321969

The optical characteristics of the biological tissue varies with the spectral of near infrared light, so the multi-spectral finger-vein images will present some different tissue information compared with the single-spectral finger-vein images. Therefore, the fusion of multispectral finger-vein image will be more beneficial for finger-vein recognition. In this paper, we propose a pixel-level based fusion method which utilizes an improved regional energy fusion strategy for implementing multispectral finger-vein fusion. The proposed fusion method takes the regional energy in a 3*3 sliding window as fusion intensity, and for dealing with the redundant information in some bands, the optimal band combination is adopted in fusion process. Moreover, the proposed strategy only cost a few milliseconds in computing, which can meet the real-time requirement. Finally, experimental results show that the proposed method achieves an excellent fusion of finger-vein multispectral information and provides more accuracy in finger-vein recognition.

关键词： multispectral finger-vein image improved re-gional energy optimal band combination real-time requirement

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Robust Widenull Anti-jamming Algorithm for High Dynamic GPS

Robust Widenull Anti-jamming Algorithm for High Dynamic GPS

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2012 IEEE 11th International Conference on signal processing(ICSP 2012)

作者： Lu Dan Wu Renbiao Wang Wenyi Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

ISBN: (纸本)9781467321969

In this paper, a robust null broadening algorithm is proposed for high dynamic global positioning system (GPS) interference suppression. The new algorithm reconstructs interference subspace by additional discrete sources of interferences, which could broaden the width of nulls and adapt to the rapid change of the interference directions in the high dynamic environment. Also the proposed algorithm would form the robust beam pattern utilizing the diagonal loading technique, which improves the performance of the conventional null broadening beamformer in snapshot deficient. The simulation results show that the feasibility of the proposed algorithm.

关键词： global positioning system high dynamic interference suppression null broadening

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A Novel Approach to Blind Source Extraction Based on Skewness

A Novel Approach to Blind Source Extraction Based on Skewnes...

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2006 8th International Conference on signal processing

作者： Qingyan Shi Renbiao Wu Shuyan Wang Key Lab for Radar Signal Processing Xidian UniversityXi'anShanxi Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

ISBN: (纸本)0780397371

Blind signal extraction(BSE) is an efficient way to recover the source signals from the observed signals. In this paper,a new adaptive algorithm of blind signal extraction based on the skewness was introduced for the signals whose probability distribution is not *** algorithm cooperated with the deflation procedure realizes the extraction of source signals one bye *** third-order statistics are used in the novel algorithm,so it can reduce the computational burden *** simulations confirm the validity and performance of the algorithm.

关键词： BSE A Novel Approach to Blind Source Extraction Based on Skewness

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Improving Integrality of Detected Moving Objects Based on Image Matting

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Chinese Journal of Electronics 2014年第4期23卷 742-746页

作者： ZHANG Liang WANG Haili DENG Tao HE Xiaomei Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Training Center of Engineering Technology Civil Aviation University of China

The integrality of moving objects is the basis for video-based object tracking and action analysis. But it often becomes unreliable as a result of shadow elimination when the object has similar properties with real shadow. The proposed methods manage to improve the integrality of detected moving objects as much as possible, by image matting operated on candidate shadow regions. Existing approaches for image matting require manual labeling of foreground and background. Considering the moving feature points in shadow may cause classification errors, we propose automatic scribbling methods based on Scale invariant feature transform(SIFT) and Speeded-up robust feature(SURF) respectively. Experiments demonstrate that our methods eliminate real shadow effectively and improve object segmentation in the case of object parts and shadows presenting similar characteristics.

关键词： Moving object detection Object integrality Shadow elimination SURF matching Image matting

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Recognition and Supression of Wind Farm Clutter via Dynamic Clutter Map

Recognition and Supression of Wind Farm Clutter via Dynamic ...

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2012 IEEE 11th International Conference on signal processing(ICSP 2012)

作者： Qiongqiong Jia Renbiao Wu Xiaoliang Wang Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

ISBN: (纸本)9781467321969

As a source of clean energy, wind power has attracted great interests around the world. Recent research reveals that wind farms have serious impacts on air traffic control （ATC） radars, which may threaten flight safety in aviation. The most likely impact of wind farm on ATC radars is the echo from the wind farm may appear on the radar displays, which will mislead the air traffic controller and might result in tragedies. Consequently, it attracts much attention on how to suppress the wind farm clutter. For the listed reasons above, a method of wind farm clutter recognition and suppression is proposed in this paper. The proposed method utilized the periodicity of the radar scan and the stability of the wind farm location to create the dynamic clutter map, which was employed to recognize and suppress the wind farm clutter thereafter. Effectiveness of the new method is verified via simulation experiments.

关键词： Air Traffic Control （ATC） Primary surveillance radar （PSR） Wind turbine clutter Clutter Suppression Dynamic clutter map

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A novel strategy for fine-grained semantic verification of civil aviation radiotelephony read-backs

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Chinese Journal of Aeronautics 2022年第12期35卷 266-277页

作者： Guimin JIA Junxian LI Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of ChinaTianjin 300300China College of Electronic Information and Automation Civil Aviation University of ChinaTianjin 300300China

During the flight of the aircraft,the pilot must repeat the instruction sent by the controller,and the controller must further confirm these read-backs,in this way to further ensure the safety of air ***,fatigue,tension,negligence and other human factors may prevent the controller from realizing read-back errors in time,which is a huge hidden danger for the safety of civil aviation *** paper proposes a novel strategy to implement fine-grained semantic verification of radiotelephony read-backs by introducing interaction layer and attention mechanism at the output of BiLSTM *** with the traditional twochannel verification strategy,the interaction layer is added to obtain fine-grained semantic matching relation representation,rather than connecting the BiLSTM output vectors to obtain the overall semantic representation of the *** by adding attention layer,the new strategy can capture the potential semantic relation between the read-backs and the instructions,which is applicable to non-standard diction and abbreviated read-backs in real radiotelephony *** experiments are conducted and the results show that the proposed new strategy is more effective than the traditional method for read-backs checking,and the average test accuracy of the new strategy based on the Chinese ATC radiotelephony read-backs corpus can reach 93.03%.

关键词： Attention mechanism BiLSTM Interaction layer Radiotelephony read-backs Semantic verification

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