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Detecting and Tracking Moving Targets on Omnidirectional Vision

Transactions of Tianjin University 2009年第1期15卷 13-18页

作者：杨淑莹葛为民张成何丕廉 School of Computer Science and Technology Tianjin University Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology

A method was presented to implement the detecting and tracking of moving targets through omnidirec-tional vision. The method combined optical flow with particle filter arithmetic, in which optical flow field was used to detect and locate moving targets and particle filter was used to track the detected moving objects. According to the circular image character of omnidirectional vision, the calculation equation of optical flow field and the tracking arithmetic of particle filter were improved based on the polar coordinates at the omnidirectional center. The edge of a randomly moving object could be detected by optical flow field and was surrounded by a reference region in the particle filter. A dynamic motion model was established to predict particle state. Histograms were used as the fea-tures in the reference region and candidate regions. The mutual information (MI) and Gaussian function were com-bined to calculate particle weights. Finally, the state of tracked object was computed by the total particle states with weights. Experiment results show that the proposed method could detect and track moving objects with better real-time performance and accuracy.

关键词： omnidirectional vision optical flow particle filter mutual information

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Adaptive Perception for Unified Visual Multi-modal Object Tracking

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年

作者： Hu, Xiantao Zhong, Bineng Liang, Qihua Shi, Liangtao Mo, Zhiyi Tai, Ying Yang, Jian Guangxi Normal University Guangxi Key Lab of Multi-Source Information Mining Guilin541004 China Guangxi Normal University Security Guilin541004 China Guangxi Normal University Intelligent Technology Guilin541004 China Guangxi Normal University Ministry of Education Guilin541004 China Wuzhou University School of Data Science Wuzhou543002 China Wuzhou University Software Engineering Wuzhou543002 China Nanjing University State Key Laboratory for Novel Software Technology Suzhou215163 China Nanjing University of Science and Technology School of Computer Science Nanjing210094 China Nanjing University of Science and Technology Engineering Nanjing210094 China

Recently, many multi-modal trackers prioritize RGB as the dominant modality, treating other modalities as auxiliary, and fine-tuning separately various multi-modal tasks. This imbalance in modality dependence limits the ability of methods to dynamically utilize complementary information from each modality in complex scenarios, making it challenging to fully perceive the advantages of multi-modal. As a result, a unified parameter model often underperforms in various multi-modal tracking tasks. To address this issue, we propose APTrack, a novel unified tracker designed for multi-modal adaptive perception. Unlike previous methods, APTrack explores a unified representation through an equal modeling strategy. This strategy allows the model to dynamically adapt to various modalities and tasks without requiring additional fine-tuning between different tasks. Moreover, our tracker integrates an adaptive modality interaction (AMI) module that efficiently bridges cross-modality interactions by generating learnable tokens. Experiments conducted on five diverse multi-modal datasets (RGBT234, LasHeR, VisEvent, DepthTrack, and VOT-RGBD2022) demonstrate that APTrack not only surpasses existing state-of-the-art unified multi-modal trackers but also outperforms trackers designed for specific multi-modal tasks. © 2020 IEEE.

关键词： Multicarrier modulation

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Performance of CO-OFDM system with RS-Turbo concatenated code

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Optoelectronics Letters 2015年第6期11卷 457-460页

作者：童峥嵘胡桂彬曹晔张卫华 Key Laboratory of Film Electronics and Communication Devices and Key Laboratory of Intelligent Computing and Novel Software Technology Tianjin University of Technology

In this paper,the RS-Turbo concatenated code is applied to coherent optical orthogonal frequency division multiplexing(CO-OFDM) ***(186,166,8) and Turbo code with code rate of 1/2 are employed for RS-Turbo concatenated *** decoding algorithms,which are Max-Log-MAP algorithm and Log-MAP algorithm,are adopted for Turbo decoding,and the iteration Berlekamp-Massey(BM) algorithm is adopted for RS *** simulation results show that the bit error rate(BER) performance of CO-OFDM system with RS-Turbo concatenated code is significantly improved at high optical signal to noise ratio(OSNR),and the iteration number is reduced compared with that of the Turbo coded ***,when the Max-Log-MAP algorithm is adopted for Turbo decoding,the transmission distance of CO-OFDM system with RS-Turbo concatenated code can reach about 400 km without error,while that of the Turbo coded system can only reach about 240 km when BER is lower than 10^(-4) order of magnitude.

关键词： OFDM系统 RS解码 Max-Log-MAP算法性能 Turbo码正交频分复用解码算法光信噪比

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Research on the transmission performance of turbo codes in DDO-OFDM system

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Optoelectronics Letters 2015年第2期11卷 134-136页

A direct detection optical orthogonal frequency division multiplexing(DDO-OFDM)system using turbo codes is built,and the transmission performance comparison between coded system and uncoded system is *** decoding algorithms,which are Log-maximum a posteriori(MAP),Max-Log-MAP and threshold Max-Log-MAP,are used in the turbo coded *** comparing three decoding algorithms,the system using Max-Log-MAP algorithm has the best bit error rate(BER)*** the transmission distance of 240 km,the uncoded system with transmission rate of 30 Gbit/s can get the BER performance at the degree of 8.93×10-3 with optical signal to noise ratio(OSNR)of24 d B,while the turbo coded system with transmission rate of 50 Gbit/s can achieve it within OSNR of 20 d B.

关键词： Bit error rate Decoding Error statistics Frequency division multiplexing Optical communication Optical signal processing Signal to noise ratio Turbo codes

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Time-Ordered Collaborative Filtering for News Recommendation

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China Communications 2015年第12期12卷 53-62页

作者： XIAO Yingyuan AI Pengqiang Ching-Hsien Hsu WANG Hongya JIAO Xu Tianjin University of Technology Tianjin Key Lab of Intelligence Computing and Novel Software Technology Chung Hua University Donghua University

Faced with hundreds of thousands of news articles in the news websites,it is difficult for users to find the news articles they are interested ***,various news recommender systems were *** the news recommendation,these news articles read by a user is typically in the form of a time ***,traditional news recommendation algorithms rarely consider the time sequence characteristic of user browsing ***,the performance of traditional news recommendation algorithms is not good enough in predicting the next news article which a user will *** solve this problem,this paper proposes a time-ordered collaborative filtering recommendation algorithm(TOCF),which takes the time sequence characteristic of user behaviors into ***,a new method to compute the similarity among different users,named time-dependent similarity,is *** demonstrate the efficiency of our solution,extensive experiments are conducted along with detailed performance analysis.

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MR image denoising method for brain surface 3D modeling

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Optoelectronics Letters 2014年第6期10卷 477-480页

作者：赵德新刘朋杰张德干 Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology

Three-dimensional(3D) modeling of medical images is a critical part of surgical simulation. In this paper, we focus on the magnetic resonance(MR) images denoising for brain modeling reconstruction, and exploit a practical solution. We attempt to remove the noise existing in the MR imaging signal and preserve the image characteristics. A wavelet-based adaptive curve shrinkage function is presented in spherical coordinates system. The comparative experiments show that the denoising method can preserve better image details and enhance the coefficients of contours. Using these denoised images, the brain 3D visualization is given through surface triangle mesh model, which demonstrates the effectiveness of the proposed method.

关键词： Magnetic resonance Magnetic resonance imaging Medical imaging Three dimensional computer graphics Wavelet analysis

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Study on the classification of multi-spectral images based on a FSVM multi-class classifier with the binary tree

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Optoelectronics Letters 2010年第1期6卷 61-64页

作者：王怀彬马京华王春东 Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology and Key Laboratory of Computer Visionand System Ministry of EducationTianjin University of Technology

Due to the features of the multi-spectral images, the result with the usual methods based on the support vector machine (SVM) and binary tree is not satisfactory. In this paper, a fuzzy SVM multi-class classifier with the binary tree is proposed for the classification of multi-spectral images. The experiment is conducted on a multi-spectral image with 6 bands which contains three classes of terrains. The experimental results show that this method can improve the segmentation accuracy.

关键词：模糊支持向量机多光谱图像树分类器常用方法二叉树 SVM 实验分割

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A method for brain 3D surface reconstruction from MR images

引用

Optoelectronics Letters 2014年第5期10卷 383-386页

作者：赵德新 Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology Key Laboratory of Computer Vision and SystemMinistry of EducationTianjin University of Technology

Due to the encephalic tissues are highly irregular, three-dimensional （3D） modeling of brain always leads to compli- cated computing. In this paper, we explore an efficient method for brain surface reconstruction from magnetic reso- nance （MR） images of head, which is helpful to surgery planning and tumor localization. A heuristic algorithm is pro- posed foi＂ surface triangle mesh generation with preserved features, and the diagonal length is regarded as the heuristic information to optimize the shape of triangle. The experimental results show that our approach not only reduces the computational complexity, but also completes 3D visualization with good quality.

关键词： Heuristic algorithms Magnetic resonance imaging Mesh generation Surface reconstruction Three dimensional computer graphics

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Optical flow with harmonic constraint and oriented smoothness

Optical flow with harmonic constraint and oriented smoothnes...

引用

International Conference on Image and Graphics

作者： Zhao, Jie Wang, Yuanquan Wang, Huaibin Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China

ISBN: (纸本)9780769545417

Computation of the optical flow from a sequence of images remains open in the community of computer vision. Two classical models for this problem are the global smoothness algorithm proposed by Horn- Schunck and the oriented smoothness algorithm by Nagel and Enkelmann. In order to increase the accuracy of motion discontinuity, we propose a new optical flow model which incorporates the harmonic smoothness constraint borrowed from the harmonic gradient vector flow (HGVF) model into the oriented smoothness constraint. In particular, we combine the curl term of the harmonic constraint with the oriented smoothness to control the direction of the displacement vectors together and introduce two spatially varying weighting functions to control the above-mentioned two terms. The benefit of the suggested strategies is illustrated qualitatively on the synthetical image and quantitatively on the Middlebury optical flow benchmark. Compared with the classical Horn-Schunck and Nagel-Enkelmann methods, this method can provide more accurate estimation of optical flow around motion discontinuities. © 2011 IEEE.

关键词： Optical flows

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A distributed and adaptive trust evaluation algorithm for manet 12

A distributed and adaptive trust evaluation algorithm for ma...

引用

12th ACM Symposium on QoS and Security for Wireless and Mobile Networks, Q2SWinet 2016

作者： Zhao, Dexin Ma, Zhen Zhang, Degan Tianjin Key Lab of Intelligent Computing and Novel Software Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9781450345040

We propose a distributed and adaptive trust evaluation algorith (DATEA) to calculate the trust between nodes. First, calculate th communication trust by using the number of data packets betwee nodes, and predict the trust based on the trend of this value calculate the comprehensive trust by combining the history trus with the predict value;calculate the energy trust based on th residual energy of nodes;calculate the direct trust by using th communication trust and energy trust. Second, calculate th recommendation trust based on the recommendation reliabilit and the recommendation familiarity;put forward the adaptivel weighting method, and calculate the integrate direct trust b combining the direct trust with recommendation trust. Third according to the integrate direct trust, considering the factor o trust propagation distance, the indirect trust between nodes i calculated. Simulation experiments show that the propose algorithm can effectively avoid the attacks of malicious nodes besides, the calculated direct trust and indirect trust about norma nodes are more conformable to the actual situation. © 2016 ACM.

关键词： Mobile ad hoc networks

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