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2017 International Conference on Control, Automation and Information Sciences (ICCAIS)最新文献

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A labeled random finite set spawning model 一个标记的随机有限集刷出模型
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217579
Daniel S. Bryant, B. Vo, B. Vo, B. Jones
{"title":"A labeled random finite set spawning model","authors":"Daniel S. Bryant, B. Vo, B. Vo, B. Jones","doi":"10.1109/ICCAIS.2017.8217579","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217579","url":null,"abstract":"Previous labeled random finite set filter developments use a target motion model that only accounts for survival and birth. While such a model provides the means for a multi-target tracking filter such as the Generalized Labeled Multi-Bernoulli filter to capture target births and deaths in a wide variety of applications, it lacks the capability to capture the lineages of spawned target tracks. In this paper, we propose a labeled random finite set spawning model and derive the resulting multi-target prediction and filtering densities. This formulation enables the joint estimation of spawned object's state and and information regarding its lineage.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126917047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A fast mathematical morphology filter on one dimensional sampled signal 一维采样信号的快速数学形态学滤波
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217582
Yongxin Chou, Benlian Xu, Ya Gu, Ruilei Zhang, Liguo Wang, Yi Jin
{"title":"A fast mathematical morphology filter on one dimensional sampled signal","authors":"Yongxin Chou, Benlian Xu, Ya Gu, Ruilei Zhang, Liguo Wang, Yi Jin","doi":"10.1109/ICCAIS.2017.8217582","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217582","url":null,"abstract":"As a kind of common digital signal processing methods, mathematical morphology filter (MMF) has been employed to process the one dimensional sampled signals. However, because of the heavy time-consumption, it is difficult to use this method in data acquisition and processing system. Therefore, an improved MMF is proposed in this study on the basis of MMF and the process of data updating during one dimensional signal sampling. The buffer in data acquisition system is as a “window” sliding in data, and the sliding window iterative theory is engaged in improving the MMF and reducing its time-consumption. A simulated signal and some pulse signals are as the experimental data to verify the proposed method and the MMF. The results show that the proposed method has less time-consumption and keeps the filtering accuracy in the meantime, and could be used to process one dimensional signal in real-time.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129516725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Consensus labeled multi-Bernoulli filtering for distributed space debris tracking 共识标记多伯努利滤波用于分布式空间碎片跟踪
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217577
B. Wei, B. Nener
{"title":"Consensus labeled multi-Bernoulli filtering for distributed space debris tracking","authors":"B. Wei, B. Nener","doi":"10.1109/ICCAIS.2017.8217577","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217577","url":null,"abstract":"Space debris poses great challenge for the safe operation of spacecraft. This paper addresses the problem of distributed space debris tracking with consensus Labeled Multi-Bernoulli filtering. Sensor network of nodes with sensing, processing and communication capabilities is used to track space debris. Labeled Multi-Bernoulli filtering is used as the tracking filter. Data incest problem is solved by Kullback-Leibler Averaging. Simulation experiments confirm the effectiveness of the proposed algorithm.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132256120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Convolutional neural networks for texture recognition using transfer learning 使用迁移学习的卷积神经网络纹理识别
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217573
Zack Chen-McCaig, R. Hoseinnezhad, A. Bab-Hadiashar
{"title":"Convolutional neural networks for texture recognition using transfer learning","authors":"Zack Chen-McCaig, R. Hoseinnezhad, A. Bab-Hadiashar","doi":"10.1109/ICCAIS.2017.8217573","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217573","url":null,"abstract":"VGG 16 and Inception-v3 networks were trained using a texture dataset of muddied and clean cows. A new dataset with 600 images that is similar to the actual texture dataset was introduced and used to train the networks. The method used to train the networks was transfer learning. ImageNet weights were trained using the similar dataset, then the newly trained weights were trained again using the actual texture dataset which had 584 images. We used a novel CNN training method, which involved a middle training step training using transfer learning. The achieved validation accuracy was 95.5% which is considerably better than the state-of-the-art 87%.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126067304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
A novel multiple adjacent cell tracking approach based on pheromone prediction of ant colony 一种新的基于蚁群信息素预测的多相邻细胞跟踪方法
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217599
Mingli Lu, Benlian Xu, Peiyi Zhu, Jian Shi, Jihong Zhu
{"title":"A novel multiple adjacent cell tracking approach based on pheromone prediction of ant colony","authors":"Mingli Lu, Benlian Xu, Peiyi Zhu, Jian Shi, Jihong Zhu","doi":"10.1109/ICCAIS.2017.8217599","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217599","url":null,"abstract":"In this paper, we proposed a novel ant algorithm based on pheromone prediction for multiple adjacent cell tracking. In order to improve the efficacy and reduce the computing time of our proposed algorithm, evolution of pheromone fields is achieved based on pheromone prediction mechanism. Along with a detailed description of our algorithms, many simulation results are reported on. The results suggest that our algorithm can automatically and accurately track numerous cells in real cell image sequences, and obtain favorable performance compared with other methods.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114925654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
40 Years of tracking for radar systems: A cross-disciplinary academic and industrial viewpoint 雷达系统跟踪的40年:一个跨学科的学术和工业观点
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217557
A. Farina, G. Battistelli, L. Chisci, A. D. Lallo
{"title":"40 Years of tracking for radar systems: A cross-disciplinary academic and industrial viewpoint","authors":"A. Farina, G. Battistelli, L. Chisci, A. D. Lallo","doi":"10.1109/ICCAIS.2017.8217557","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217557","url":null,"abstract":"Forty years of cross-disciplinary academic and industrial research & development work on radar tracking systems is surveyed, starting from the former implementations based on the α — β, the Kalman filter up to the modern implementations based on random set filters.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128633741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
A real-time fusion algorithm for asynchronous sensor system with PHD filter 基于PHD滤波器的异步传感器系统实时融合算法
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217563
Guchong Li, Wei Yi, L. Kong
{"title":"A real-time fusion algorithm for asynchronous sensor system with PHD filter","authors":"Guchong Li, Wei Yi, L. Kong","doi":"10.1109/ICCAIS.2017.8217563","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217563","url":null,"abstract":"The paper addresses the multi-target tracking problem in the framework of asynchronous sensor system. A real-time fusion algorithm is presented for asynchronous sensor system where sensors are allowed to work asynchronously with aperiodic sampling. A real-time sequentially fusion method based on Generalized Covariance Intersection (G-CI), called RTS-GCI, is presented. The proposed RTS-GCI fusion algorithm provides a satisfactory estimation precision that is close to the centralized batch G-CI (CB-GCI) estimator at lower computational burden. Therefore, the proposed fusion architecture is suitable for real-time asynchronous sensor system. The proposed fusion algorithm is implemented using the Gaussian Mixture (GM) approximations and its performance is highlighted by numerical results.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123951514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Cauchy-Schwarz divergence-based distributed fusion with poisson random finite sets 基于Cauchy-Schwarz散度的泊松随机有限集分布融合
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217559
A. Gostar, R. Hoseinnezhad, A. Bab-Hadiashar
{"title":"Cauchy-Schwarz divergence-based distributed fusion with poisson random finite sets","authors":"A. Gostar, R. Hoseinnezhad, A. Bab-Hadiashar","doi":"10.1109/ICCAIS.2017.8217559","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217559","url":null,"abstract":"This paper presents a new approach towards statistical fusion of multi-source information. Our solution is formulated in the context of fusing the Poisson finite random set posteriors returned by multiple local PHD filters at sensor nodes of a distributed multi-sensor multi-object estimation system. The most common measure used for information gain in stochastic multi-source information fusion is Kullback-Leibler divergence (KLD) which leads to the well-known Generalised Covariance Intersection (GCI) rule for sensor fusion. We present the idea of using Cauchy-Schwarz divergence instead of KLD and derive a closed-form solution for fusion of multiple Poisson posteriors. Simulation results show that our method performs favourably against GCI fusion rule in terms of overall tracking performance.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132324761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 34
Stability from the stabilization with general dissipativity constraint 由一般耗散约束下的稳定得到的稳定性
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217593
T. Tran
{"title":"Stability from the stabilization with general dissipativity constraint","authors":"T. Tran","doi":"10.1109/ICCAIS.2017.8217593","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217593","url":null,"abstract":"The stabilization with a General Dissipativity Constraint (GDC) has been governed by the non-negativeness of ΔV(x, k) along the trajectories (i.e. ΔV(x, k)  0), in which ΔV(x, k)  0 is a storage function. We have stated and proved the state convergence with the GDC a previous work, but the stability has not been addressed thoroughly. In this paper, we analyze the stability that is obtained from the stabilization with the GDC in the context of Lyapunov stability, Lagrange stability and asymptotic stability. The GDC provides a type of stability that is similar to Lyapunov stability starting from a future time instant k∗ > 0. The GDC also provides a boundedness property that is similar to the Lagrange stability, but with a feasible condition. As a result, neither the Lyapunov stability nor the Lagrange uniform boundedness is obtained from the stabilization with the GDC.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126110780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
IMM filtering for vehicle tracking in cluttered environments with glint noise 闪烁噪声环境下车辆跟踪的IMM滤波
2017 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2017-10-01 DOI: 10.1109/ICCAIS.2017.8217601
C. H. Cho, S. Chong, T. Song
{"title":"IMM filtering for vehicle tracking in cluttered environments with glint noise","authors":"C. H. Cho, S. Chong, T. Song","doi":"10.1109/ICCAIS.2017.8217601","DOIUrl":"https://doi.org/10.1109/ICCAIS.2017.8217601","url":null,"abstract":"A radar system for tracking ground vehicle targets to realize adaptive cruise control requires an accurate vehicle tracking filter. Especially, for ground vehicle tracking, one has to consider the case in which the radar measurements are affected by glint noises generated by the targets located near the observer vehicle. Furthermore, this vehicle tracking should be performed in cluttered environments. This paper presents a combined algorithm that consists of integrated probabilistic data association (IPDA), and an interacting multiple model (IMM) algorithm for ground target tracking in clutter and target glint. Performance of the proposed algorithm is tested and verified by a series of computer simulation runs.","PeriodicalId":410094,"journal":{"name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127743358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
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