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Learning a Visual Attention Model for Adaptive Fast-Forward in Video Surveillance

B. Höferlin, H. Pflüger, M. Höferlin, G. Heidemann, and D. Weiskopf. In Proceedings of International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2012, (2012)
DOI: 10.5220/0003720000250032

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Univ. -Prof. a. D. Dr. Günther Bien University of Stuttgart

Kerstin Heidemann University of Stuttgart

Dr. Wolfgang Heidemann University of Stuttgart

Hon. -Prof. Dr. rer. nat. Gunther Richter University of Stuttgart

Maiken Günther University of Stuttgart

Other publications of authors with the same name

Data Compression - A Generic Principle of Pattern Recognition?G. Heidemann, and H. Ritter. VISIGRAPP (Selected Papers), volume 24 of Communications in Computer and Information Science, page 202-212. Springer, (2008)Interactive Online LearningG. Heidemann, H. Bekel, I. Bax, and H. Ritter. Proc. PRIA 2004, (2004)CORVIDAE: Coreference Resolution Visual Development & Analysis Environment.N. Möller, and G. Heidemann. SEMANTiCS (Posters, Demos, SuCCESS), volume 1695 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks.P. Tanisaro, C. Lehman, L. Sütfeld, G. Pipa, and G. Heidemann. ICANN (1), volume 10613 of Lecture Notes in Computer Science, page 84-91. Springer, (2017)Time Series Classification Using Time Warping Invariant Echo State Networks.P. Tanisaro, and G. Heidemann. ICMLA, page 831-836. IEEE Computer Society, (2016)Quasi View-Independent Human Motion Recognition in Subspaces.P. Tanisaro, F. Mahner, and G. Heidemann. ICMLC, page 278-283. ACM, (2017)Efficient annotation of image data sets for computer vision applications.J. Moehrmann, and G. Heidemann. VIGTA@AVI, page 2. ACM, (2012)Redundant Dictionary Spaces as a General Concept for the Analysis of Non-vectorial Data.S. Klenk, J. Dippon, A. Burkovski, and G. Heidemann. ICDM, volume 7377 of Lecture Notes in Computer Science, page 243-257. Springer, (2012)Bio-Inspired Architecture for Deriving 3D Models from Video Sequences.J. Schöning, and G. Heidemann. ACCV Workshops (2), volume 10117 of Lecture Notes in Computer Science, page 62-76. Springer, (2016)Visual analytics for video applicationsP. Tanisaro, J. Schöning, K. Kurzhals, G. Heidemann, and D. Weiskopf. it - Information Technology, 57 (1): 30-36 (2015)