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检索条件"机构=Multimedia Signal Processing and Pattern Recognition Lab."
19 条 记 录,以下是1-10 订阅
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Wami Object Tracking Using L1 Tracker Integrated with a Deep Detector  25
Wami Object Tracking Using L1 Tracker Integrated with a Deep...
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25th IEEE International Conference on Image processing, ICIP 2018
作者: Onur Ozyurt, Erdem Gunsel, Bilge Multimedia Signal Proc. and Pattern Recognition Lab. Istanbul Technical University Turkey
We propose an object tracking method for Wide Area Motion Imagery (WAMI) video sequences, which models the tracking as a regularization problem through sparse representation of aerial video content. The proposed objec... 详细信息
来源: 评论
Robust audio watermark decoding by nonlinear classification
Robust audio watermark decoding by nonlinear classification
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13th European signal processing Conference, EUSIPCO 2005
作者: Kirbiz, S. Yaslan, Y. Günsel, B. Multimedia Signal Processing and Pattern Recognition Lab. Dept. of Electronics and Communications Eng. Istanbul Technical University 34469 Istanbul Turkey
This paper introduces an audio watermark (WM) decoding scheme that performs a Support Vector Machine (SVM) based supervised learning followed by a blind decoding. The decoding process is modelled as a two-class classi... 详细信息
来源: 评论
A multiple model structure for tracking by variable rate particle filters
A multiple model structure for tracking by variable rate par...
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作者: Ulker, Yener Gunsel, Bilge Kirbiz, Serap Multimedia Signal Processing and Pattern Recognition Lab. Istanbul Technical University Dep. of Electronics and Communications Engineering 34469 Maslak Istanbul Turkey
In contrast to the fixed rate modeling of the conventional methods, recently introduced variable rate particle filters (VRPF) achieves to track maneuvering objects with a small number of states by imposing a probabili... 详细信息
来源: 评论
Incremental non-negative matrix factorization for dynamic background modelling
Incremental non-negative matrix factorization for dynamic ba...
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7th International Workshop on pattern recognition in Information Systems PRIS 2007;In Conjunction with ICEIS 2007
作者: Bucak, Serhat S. Gunsel, Bilge Gursoy, Ozan Multimedia Signal Processing and Pattern Recognition Lab. Dept. of Electronics and Comm. Eng. Istanbul Technical University 34469 Maslak Istanbul Turkey
In this paper, an incremental algorithm which is derived from Non-negative Matrix Factorization (NMF) is proposed for background modeling in surveillance type of video sequences. The adopted algorithm, which is called... 详细信息
来源: 评论
An ensemble based incremental learning framework for concept drift and class imbalance
An ensemble based incremental learning framework for concept...
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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
作者: Ditzler, Gregory Polikar, Robi ECE Department Rowan University Signal Processing and Pattern Recognition Lab. Glassboro NJ 08028 United States
We have recently introduced an incremental learning algorithm, Learn ++.NSE, designed to learn in nonstationary environments, and has been shown to provide an attractive solution to a number of concept drift problems ... 详细信息
来源: 评论
SAR IMAGE CLASSIFICATION WITH NORMALIZED GAMMA PROCESS MIXTURES
SAR IMAGE CLASSIFICATION WITH NORMALIZED GAMMA PROCESS MIXTU...
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IEEE International Conference on Image processing
作者: Koray Kayabol Bilge Gunsel Multimedia Signal Processing and Pattern Recognition Lab. Istanbul Technical University
We propose a novel image prior for the non-parametric Bayesian mixture model based unsupervised classification of SAR images. We modified the Normalized Gamma Process prior that constitutes a more general form of the ... 详细信息
来源: 评论
Classification and indexing of paintings based on art movements  12
Classification and indexing of paintings based on art moveme...
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12th European signal processing Conference, EUSIPCO 2004
作者: Icoglu, Oguz Gunsel, Bilge Sariel, Sanem Multimedia Signal Processing and Pattern Recognition Lab. Electrical-Electronics Eng. Faculty Istanbul Technical University Maslak-Istanbul34469 Turkey Vienna University of Technology Building Physics and Human Ecology Institute Austria
This paper outlines the automatic extraction of features of paintings' art movements such as classicism, impressionism and cubism;and introduces a system developed for the classification and indexing of paintings ... 详细信息
来源: 评论
A boosting discriminative model for moving cast shadow detection
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6th International Conference on Energy Minimization Methods in Computer Vision and pattern recognition, EMMCVPR 2007
作者: Yufei, Zha Ying, Chu Duyan, Bi Signal and Information Processing Lab. Engineering College of Air Force Engineering University xi'an China Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology China
Moving cast shadow causes serious problem while segmenting and extracting foreground from image sequences, due to the misclassification of moving shadow as foreground. This paper proposes a boosting discriminative mod... 详细信息
来源: 评论
A PERCEPTUALLY ENHANCED BLIND SINGLE-CHANNEL AUDIO SOURCE SEPARATION BY NON-NEGATIVE MATRIX FACTORIZATION
A PERCEPTUALLY ENHANCED BLIND SINGLE-CHANNEL AUDIO SOURCE SE...
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European signal processing Conference
作者: S. Kubiz B. Gunsel Multimedia Signal Processing and Pattern Recognition Lab. Istanbul Technical University Dept. of Electronics and Communications Engineering
This paper proposes a 2D Non-negative Matrix Factorization (NMF) based single-channel source separation algorithm that emphasizes perceptually important components of audio. Unlike the existing methods, the proposed s... 详细信息
来源: 评论
WAMI OBJECT TRACKING USING L_1 TRACKER INTEGRATED WITH A DEEP DETECTOR
WAMI OBJECT TRACKING USING L_1 TRACKER INTEGRATED WITH A DEE...
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IEEE International Conference on Image processing
作者: Erdem Onur Ozyurt Bilge Gunsel Multimedia Signal Proc. and Pattern Recognition Lab. Istanbul Technical University Turkey
We propose an object tracking method for Wide Area Motion Imagery (WAMI) video sequences, which models the tracking as a regularization problem through sparse representation of aerial video content. The proposed objec... 详细信息
来源: 评论