Academic literature on the topic 'Cardinalized probability hypothesis density'
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Journal articles on the topic "Cardinalized probability hypothesis density"
Li, Bo, and Fu-Wen Pang. "Improved cardinalized probability hypothesis density filtering algorithm." Applied Soft Computing 24 (November 2014): 692–703. http://dx.doi.org/10.1016/j.asoc.2014.08.023.
Full textVo, Ba-Tuong, Ba-Ngu Vo, and Antonio Cantoni. "Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter." IEEE Transactions on Signal Processing 55, no. 7 (July 2007): 3553–67. http://dx.doi.org/10.1109/tsp.2007.894241.
Full textMa, Yue, Jian-zhang Zhu, Qian-qing Qin, and Yi-jun Hu. "Convolution kernels implementation of cardinalized probability hypothesis density filter." Acta Mathematicae Applicatae Sinica, English Series 29, no. 4 (October 2013): 739–48. http://dx.doi.org/10.1007/s10255-013-0252-0.
Full textLIN, Zai-Ping, Yi-Yu ZHOU, and Wei AN. "Track-Before-Detect algorithm based on cardinalized probability hypothesis density filter." Journal of Infrared and Millimeter Waves 32, no. 5 (2013): 437. http://dx.doi.org/10.3724/sp.j.1010.2013.00437.
Full textSong, L., M. Liang, and H. Ji. "Box-Particle Implementation and Comparison of Cardinalized Probability Hypothesis Density Filter." Radioengineering 25, no. 1 (April 14, 2016): 177–86. http://dx.doi.org/10.13164/re.2016.0177.
Full textUlmke, Martin, Ozgur Erdinc, and Peter Willett. "GMTI Tracking via the Gaussian Mixture Cardinalized Probability Hypothesis Density Filter." IEEE Transactions on Aerospace and Electronic Systems 46, no. 4 (October 2010): 1821–33. http://dx.doi.org/10.1109/taes.2010.5595597.
Full textLi, Bo, Huawei Yi, and Xiaohui Li. "Innovative unscented transform–based particle cardinalized probability hypothesis density filter for multi-target tracking." Measurement and Control 52, no. 9-10 (October 21, 2019): 1567–78. http://dx.doi.org/10.1177/0020294019877494.
Full textZhai Dai-Liang, Lei Hu-Min, Li Hai-Ning, Zhang Xu, and Li Jiong. "Derivation of cardinalized probability hypothesis density filter via the physical-space approach." Acta Physica Sinica 63, no. 22 (2014): 220204. http://dx.doi.org/10.7498/aps.63.220204.
Full textLian, Feng, Chongzhao Han, Weifeng Liu, Jing Liu, and Jian Sun. "Unified cardinalized probability hypothesis density filters for extended targets and unresolved targets." Signal Processing 92, no. 7 (July 2012): 1729–44. http://dx.doi.org/10.1016/j.sigpro.2012.01.009.
Full textFranken, D., M. Schmidt, and M. Ulmke. ""Spooky Action at a Distance" in the Cardinalized Probability Hypothesis Density Filter." IEEE Transactions on Aerospace and Electronic Systems 45, no. 4 (October 2009): 1657–64. http://dx.doi.org/10.1109/taes.2009.5310327.
Full textDissertations / Theses on the topic "Cardinalized probability hypothesis density"
Jerrelind, Jakob. "Tracking of Pedestrians Using Multi-Target Tracking Methods with a Group Representation." Thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172579.
Full textClark, Daniel Edward. "Multiple target tracking with the probability hypothesis density filter." Thesis, Heriot-Watt University, 2006. http://hdl.handle.net/10399/161.
Full textLi, Tiancheng. "Efficient particle implementation of Bayesian and probability hypothesis density filtering." Thesis, London South Bank University, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.631738.
Full textLee, Chee Sing. "Simultaneous localization and mapping using single cluster probability hypothesis density filters." Doctoral thesis, Universitat de Girona, 2015. http://hdl.handle.net/10803/323637.
Full textEn aquesta tesis es desenvolupa aquest algoritme a partir d’un filtre PHD amb un únic grup (SC-PHD), una tècnica d’estimació multi-objecte basat en processos d’agrupació. Aquest algoritme té unes capacitats que normalment no es veuen en els algoritmes de SLAM basats en característiques, ja que és capaç de tractar falses característiques, així com característiques no detectades pels sensors del vehicle, a més de navegar en un entorn amb la presència de característiques estàtiques i característiques en moviment de forma simultània. Es presenten els resultats experimentals de l’algoritme SC-PHD en entorns reals i simulats utilitzant un vehicle autònom submarí. Els resultats són comparats amb l’algoritme de SLAM Rao-Blackwellized PHD (RB-PHD), demostrant que es requereixen menys aproximacions en la seva derivació i en conseqüència s’obté un rendiment superior.
Swain, Anthony Jack. "Group and extended target tracking with the Probability Hypothesis Density filter." Thesis, Heriot-Watt University, 2013. http://hdl.handle.net/10399/2839.
Full textPasha, Syed Electrical Engineering & Telecommunications Faculty of Engineering UNSW. "Problems in nonlinear Bayesian filtering." Awarded by:University of New South Wales. Electrical Engineering & Telecommunications, 2009. http://handle.unsw.edu.au/1959.4/43792.
Full textPetetin, Yohan. "Algorithmes de restauration bayésienne mono- et multi-objets dans des modèles markoviens." Phd thesis, Institut National des Télécommunications, 2013. http://tel.archives-ouvertes.fr/tel-00939083.
Full textPace, Michele. "Stochastic models and methods for multi-object tracking." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2011. http://tel.archives-ouvertes.fr/tel-00651396.
Full textFANTACCI, CLAUDIO. "Distributed multi-object tracking over sensor networks: a random finite set approach." Doctoral thesis, 2015. http://hdl.handle.net/2158/1003256.
Full text"Urban Terrain Multiple Target Tracking Using the Probability Hypothesis Density Particle Filter." Master's thesis, 2011. http://hdl.handle.net/2286/R.I.9471.
Full textDissertation/Thesis
M.S. Electrical Engineering 2011
Book chapters on the topic "Cardinalized probability hypothesis density"
Wang, Ding, Xu Tang, and Qun Wan. "The Recursive Spectral Bisection Probability Hypothesis Density Filter." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 47–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36402-1_5.
Full textZhang, Pu, Hongwei Li, and Yuan Huang. "Quadrature Kalman Probability Hypothesis Density Filter for Multi-Target Tracking." In Informatics in Control, Automation and Robotics, 757–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25899-2_102.
Full textWu, Tianjun, and Jianghong Ma. "Unscented Particle Implementation of Probability Hypothesis Density Filter for Multisensor Multitarget Tracking." In Recent Advances in Computer Science and Information Engineering, 321–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25792-6_48.
Full textRezatofighi, Seyed Hamid, Stephen Gould, Ba-Ngu Vo, Katarina Mele, William E. Hughes, and Richard Hartley. "A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences." In Lecture Notes in Computer Science, 110–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38868-2_10.
Full textAtitey, Komlan, and Yan Cang. "A Novel Prediction Algorithm in Gaussian-Mixture Probability Hypothesis Density Filter for Target Tracking." In Lecture Notes in Computer Science, 373–93. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21978-3_33.
Full textZhu, Jihong, Benlian Xu, Fei Wang, and Qiquan Wang. "A New Method Based on Ant Colony Optimization for the Probability Hypothesis Density Filter." In Lecture Notes in Computer Science, 537–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21524-7_66.
Full textChen, Jiandan, Iyeyinka Damilola Olayanju, Olabode Paul Ojelabi, and Wlodek Kulesza. "RFID Multi-target Tracking Using the Probability Hypothesis Density Algorithm for a Health Care Application." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 95–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32304-1_9.
Full textHuang, Fangming, Kun Wang, Jian Xu, and Zhiliang Huang. "The Analytic Implementation of the Multisensor Probability Hypothesis Density Filter." In Multisensor Data Fusion, 235–52. CRC Press, 2017. http://dx.doi.org/10.1201/b18851-15.
Full text"Incorporating Uncertainty into Fishery Models." In Incorporating Uncertainty into Fishery Models, edited by Thomas E. Helser, Alexei Sharov, and Desmond M. Kahn. American Fisheries Society, 2002. http://dx.doi.org/10.47886/9781888569315.ch6.
Full text"Incorporating Uncertainty into Fishery Models." In Incorporating Uncertainty into Fishery Models, edited by Thomas E. Helser, Alexei Sharov, and Desmond M. Kahn. American Fisheries Society, 2002. http://dx.doi.org/10.47886/9781888569315.ch6.
Full textConference papers on the topic "Cardinalized probability hypothesis density"
Danaee, Meysam R., and Fereidoon Behnia. "Auxiliary unscented particle cardinalized probability hypothesis density." In 2013 21st Iranian Conference on Electrical Engineering (ICEE). IEEE, 2013. http://dx.doi.org/10.1109/iraniancee.2013.6599709.
Full textGeorgescu, Ramona, and Peter Willett. "Multiple model cardinalized probability hypothesis density filter." In SPIE Optical Engineering + Applications, edited by Oliver E. Drummond. SPIE, 2011. http://dx.doi.org/10.1117/12.890953.
Full textGeorgescu, Ramona, and Peter Willett. "Classification aided cardinalized probability hypothesis density filter." In SPIE Defense, Security, and Sensing. SPIE, 2012. http://dx.doi.org/10.1117/12.917729.
Full textWang, Yang, Zhongliang Jing, and Shiqiang Hu. "Data Association for Cardinalized Probability Hypothesis Density Filter." In 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC). IEEE, 2009. http://dx.doi.org/10.1109/icicic.2009.153.
Full textErdinc, Ozgur, Peter Willett, and Yaakov Bar-Shalom. "A physical-space approach for the probability hypothesis density and cardinalized probability hypothesis density filters." In Defense and Security Symposium, edited by Oliver E. Drummond. SPIE, 2006. http://dx.doi.org/10.1117/12.673194.
Full textReuter, Stephan, Daniel Meissner, and Klaus Dietmayer. "Multi-object tracking at intersections using the cardinalized probability hypothesis density filter." In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338787.
Full textVo, Ba-tuong, Ba-ngu Vo, and Antonio Cantoni. "The Cardinalized Probability Hypothesis Density Filter for Linear Gaussian Multi-Target Models." In 2006 40th Annual Conference on Information Sciences and Systems. IEEE, 2006. http://dx.doi.org/10.1109/ciss.2006.286554.
Full textHauschildt, Daniel. "Gaussian mixture implementation of the cardinalized probability hypothesis density filter for superpositional sensors." In 2011 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2011. http://dx.doi.org/10.1109/ipin.2011.6071936.
Full textJones, Brandon A., Steve Gehly, and Penina Axelrad. "Measurement-based Birth Model for a Space Object Cardinalized Probability Hypothesis Density Filter." In AIAA/AAS Astrodynamics Specialist Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-4311.
Full textLu, Zhejun, Weidong Hu, Yongxiang Liu, and Thia Kirubaraian. "A new Cardinalized Probability Hypothesis Density Filter with Efficient Track Continuity and Extraction." In 2018 21st International Conference on Information Fusion (FUSION 2018). IEEE, 2018. http://dx.doi.org/10.23919/icif.2018.8455589.
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