Embryonic Spatial-Chronological Prototypes for Activity Recognition
Keywords:
Spacio Temporal, Localization, SurvailanceAbstract
This manuscript offerings an claim of image grounded nursing of enduring maintenance capability inhabitants. We advance a procedure to notice proceedings of attention, predominantly falls by ageing populations. The procedure uses a max-margin embryonic adjustable method with spatial chronological positions of the person in the audiovisual as embryonic variables. The freshly established Act Series descriptor is employed as an amusing feature depiction for each edge. Experiential results determine the efficiency of this manner.
References
Okutomi, M. ; Graduate Sch. of Inf. Sci. & Eng., Tokyo Inst. of Technol., Japan ; Sugimoto, S., “Shape recovery of rotating object using weighted voting of spacio-temporal images”, Published in: Pattern Recognition, 2000. Proceedings. 15th International Conference on (Volume:1 ) Date of Conference: 2000 Page(s): 790 - 793 vol.1.
Beck, A.B. ; Centre for Robot Technol., Danish Technol. Inst., Odense, Denmark ; Risager, C. ; Andersen, N.A. ; Ravn, O., “Spacio-temporal situation assessment for mobile robots”, Published in: Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on Date of Conference: 5-8 July 2011 Page(s): 1 – 8.
Umeda, Y. ; Dept. of Comput. Sci., Meiji Univ., Kawasaki, Japan ; Arakawa, K., “Removal of film scratches using exemplar-based inpainting with directional median filter”, Published in: Communications and Information Technologies (ISCIT), 2012 International Symposium on Date of Conference: 2-5 Oct. 2012 Page(s): 6 – 11.
Andersson, M. ; FOI, Linkoping, Sweden ; Patino, L. ; Burghouts, G.J. ; Flizikowski, A., “Activity recognition and localization on a truck parking lot”, Published in: Advanced Video and Signal Based Surveillance (AVSS), 2013 10th IEEE International Conference on Date of Conference: 27-30 Aug. 2013 Page(s): 263 – 269.
Oikonomopoulos, A. ; Comput. Dept., Imperial Coll. London, London, UK ; Patras, I. ; Pantic, M., “An implicit spatiotemporal shape model for human activity localization and recognition”, Published in: Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on Date of Conference: 20-25 June 2009 Page(s): 27 – 33.
Macho, D. ; TALP Res. Center, Univ. Politecnica de Catalunya, Barcelona ; Padrell, J. ; Abad, A. ; Nadeu, C., “Automatic Speech Activity Detection, Source Localization, and Speech Recognition on the Chil Seminar Corpus”, Published in: Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on Date of Conference: 6-6 July 2005 Page(s): 876 – 879.
Yurtman, A. ; Elektr. ve Elektron. Muhendisligi Bolumu, Bilkent Univ., Ankara, Turkey ; Barshan, B., “Human activity recognition using tag-based localization”, Published in: Signal Processing and Communications Applications Conference (SIU), 2012 20th Date of Conference: 18-20 April 2012 Page(s): 1 – 4.
Torok, A. ; Bay Zolten Nonprofit Ltd. for Appl. Res., Budapest, Hungary ; Nagy, A. ; Kovats, L. ; Pach, P., “DREAR - Towards Infrastructure-Free Indoor Localization via Dead-Reckoning Enhanced with Activity Recognition”, Published in: Next Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eighth International Conference on Date of Conference: 10-12 Sept. 2014 Page(s): 106 – 111.
Zhu, Y. ; Y. Zhu is with the Department of Electrical and Engineering, University of California, Riverside.(email:yzhu010@ucr.edu); Nanyak, N. ; Roy-Chowdhury, A., “Context-Aware Activity Modeling using Hierarchical Conditional Random Fields”, Published in: Pattern Analysis and Machine Intelligence, IEEE Transactions on (Volume:PP , Issue: 99 ) Page(s): 1.
Yamanoi, T. ; Hokkai-Gakuen Univ., Sapporo ; Toyoshima, H. ; Ohnishi, S. ; Yamazaki, T., “Spatiotemporal Human Brain Activities by Visual Stimulus of Directional Characters and Symbols”, Published in: Computational Intelligence and Intelligent Informatics, 2007. ISCIII '07. International Symposium on Date of Conference: 28-30 March 2007 Page(s): 195 – 198.
Alvarez-Alvarez, A. ; Eur. Centre for Soft Comput. (ECSC), Mieres, Spain ; Alonso, J.M. ; Trivino, G. ; Hernandez, N., “Human activity recognition applying computational intelligence techniques for fusing information related to WiFi positioning and body posture”, Published in: Fuzzy Systems (FUZZ), 2010 IEEE International Conference on Date of Conference: 18-23 July 2010 Page(s): 1 – 8.
Yousaf, M.H. ; Dept. of Comput. Eng., Univ. of Eng. & Technol. Taxila, Taxila, Pakistan ; Azhar, K. ; Sial, H.A., “A novel vision based Approach for instructor's performance and behavior analysis”, Published in: Communications, Signal Processing, and their Applications (ICCSPA), 2015 International Conference on Date of Conference: 17-19 Feb. 2015 Page(s): 1 – 6.
Chunjiao Dong ; Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China ; Chunfu Shao ; Xia Li, “Short-Term Traffic Flow Forecasting of Road Network Based on Spatial-Temporal Characteristics of Traffic Flow”, Published in: Computer Science and Information Engineering, 2009 WRI World Congress on (Volume:5 ) Date of Conference: March 31 2009-April 2 2009 Page(s): 645 – 650.
Zhihui Liu ; Inst. of Remote Sensing Applic., Grad. Univ. of Chinese Acad. of Sci., Beijing, China ; Li Liu ; Yanyou Qiao, “Study on extendable spatial decision support system based on service”, Published in: Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on Date of Conference: 23-25 May 2013 Page(s): 317 – 320.
Nicolaides, K. ; CSIR Mater. Sci. & Manuf., Pretoria, South Africa ; van Jaarsveld, J. ; Wilkinson, A., “Demonstration of the advantages offered by an ultra-wideband (100–400 kHz) sonar system for simultaneous planar imaging, volumetric imaging and Doppler in harbour survailance applications”, Published in: Waterside Security Conference (WSS), 2010 International Date of Conference: 3-5 Nov. 2010 Page(s): 1 – 5.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
