Front Matter: Volume 8745

Ivan Kadar
2013 Signal Processing, Sensor Fusion, and Target Recognition XXII  
The papers included in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication. The papers published in these proceedings reflect the work and thoughts of the authors and are published herein as submitted. The publisher is not responsible for the validity of the information or for any outcomes resulting from
more » ... liance thereon. Please use the following format to cite material from this book: Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model, with papers published first online and then in print and on CD-ROM. Papers are published as they are submitted and meet publication criteria. A unique, consistent, permanent citation identifier (CID) number is assigned to each article at the time of the first publication. Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online, print, and electronic versions of the publication. SPIE uses a six-digit CID article numbering system in which: The first four digits correspond to the SPIE volume number. The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B ... 0Z, followed by 10-1Z, 20-2Z, etc. The CID Number appears on each page of the manuscript. The complete citation is used on the first page, and an abbreviated version on subsequent pages. Numbers in the index correspond to the last two digits of the six-digit CID Number. SESSION 1 MULTISENSOR FUSION, MULTITARGET TRACKING, AND RESOURCE MANAGEMENT I 03 Estimability of thrusting trajectories in 3D from a single passive sensor [8745-1] T. SESSION 2 MULTISENSOR FUSION, MULTITARGET TRACKING, AND RESOURCE MANAGEMENT II 8745 07 Decentralized closed-loop collaborative surveillance and tracking performance sensitivity to communications connectivity [8745-6] 8745 08 Stochastic context-free grammars for scale-dependent intent inference [8745-7] B. Balaji, Defence Research and Development Canada, Ottawa (Canada); M. Fanaswala, V. Krishnamurthy, The Univ. of British Columbia (Canada) 8745 09 Sensor selection for target localization in a network of proximity sensors and bearing sensors [8745-8] Q. Le, Hampton Univ. (United States); L. M. Kaplan, U.S. Army Research Lab. (United States) 8745 0A Evaluating detection and estimation capabilities of magnetometer-based vehicle sensors [8745-9] D. M. Slater, G. M. Jacyna, The MITRE Corp. (United States) iii Proc. of SPIE Vol. 8745 874501-3 Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 04 Nov 2020 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use SESSION 3 MULTISENSOR FUSION METHODOLOGIES AND APPLICATIONS I 8745 0B Urban multitarget tracking via gas-kinetic dynamics models [8745-11] R. Mahler, Lockheed Martin Corp. (United States) 8745 0C Background agnostic CPHD tracking of dim targets in heavy clutter [8745-12] 8745 0D Tracking, identification, and classification with random finite sets [8745-13] B. T. Vo, B. N. Vo, Curtin Univ. (Australia) 8745 0E PHD filtering with localised target number variance [8745-15] E. Delande, J. Houssineau, D. Clark, Heriot-Watt Univ. (United Kingdom) 8745 0F Divergence detectors for multitarget tracking algorithms [8745-16] R. Mahler, Lockheed Martin Corp. (United States) 8745 0G A Gaussian mixture ensemble transform filter for vector observations [8745-17] S. Nannuru, M. Coates, McGill Univ. (Canada); A. Doucet, Univ. of Oxford (United Kingdom) SESSION 4 MULTISENSOR FUSION METHODOLOGIES AND APPLICATIONS II 8745 0L High Level Information Fusion (HLIF) with nested fusion loops [8745-22] R. Woodley, M. Gosnell, A. Fischer, 21st Century Systems, Inc. (United States) SESSION 5 MULTISENSOR FUSION METHODOLOGIES AND APPLICATIONS III 8745 0M A robust technique for semantic annotation of group activities based on recognition of extracted features in video streams [8745-23] V. Elangovan, A. Shirkhodaie, Tennessee State Univ. (United States) 8745 0N Feynman path integral discretization and its applications to nonlinear filtering [8745-24] B. Balaji, Defence Research and Development Canada, Ottawa (Canada) 8745 0O Particle flow inspired by Knothe-Rosenblatt transport for nonlinear filters [8745-25] F. Daum, J. Huang, Raytheon Co. (United States) 8745 0P Particle flow with non-zero diffusion for nonlinear filters [8745-26] F. Daum, J. Huang, Raytheon Co. (United States) 8745 0Q Zero curvature particle flow for nonlinear filters [8745-27] F. Daum, J. Huang, Raytheon Co. (United States) 8745 0R Fourier transform particle flow for nonlinear filters [8745-28] F. Daum, J. Huang, Raytheon Co. (United States) iv Proc. of SPIE Vol. 8745 874501-4 Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 04 Nov 2020 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use SESSION 6 MULTISENSOR FUSION METHODOLOGIES AND APPLICATIONS V 8745 0S Sequential testing over multiple stages and performance analysis of data fusion [8745-30] G. Thakur, The MITRE Corp. (United States) 8745 0T Multisource information fusion for enhanced simultaneous tracking and recognition [8745-32] B. Kahler, SAIC (United States) 8745 0U Dempster-Shafer theory and connections to information theory (Invited Paper) [8745-33] J. S. J. Peri, The Johns Hopkins Univ. Applied Physics Lab. (United States) SESSION 7 SIGNAL AND IMAGE PROCESSING, AND INFORMATION FUSION APPLICATIONS I 0V Object detection and classification using image moment functions in the applied to video and imagery analysis O. Mise, S. Bento, GE Intelligent Platforms (United States) 0W Multi-parametric data fusion for enhanced object identification and discrimination S.
doi:10.1117/12.2031900 fatcat:dwkpv5gaqfemlpqebcgmquu63i