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On-line learning of motion patterns using an expert learning framework

On-line learning of motion patterns using an expert learning...

引用

2004 ieee computer society conference on computer vision and pattern recognition Workshops, cvprW 2004

作者： Jhala, Sanjit Lodha, Suresh K. Department of Computer Science University of California Santa Cruz United States

Tracking uncertain mobile objects such as humans and vehicles is an important problem in computer vision, robotics, and geo-spatial visualization. As the name suggests, predictor-corrector tracking is performed in two steps -prediction and correction. Prediction steps have typically utilized a-priori motion model most common of which is a uniform motion model. In this work, we apply an expert learning framework for on-line prediction and learning the motion of an uncertain mobile object. We define a number of probabilistic experts, each of which predicts the future position of the object with some uncertainty and then combine the predictions of all the experts to produce an estimate of the object's location. Individual experts predictions are weighted adaptively depending on their performance. We show that this adaptive combination is powerful when there are changes in the pattern of the object's motion. Results of our algorithm are compared with linear extrapolation and the best off-line expert predictions. We have tested our algorithm with synthetic data using uniform and non-uniform patterns as well as real data acquired using GPS equipment in presence of intermittent and highly erroneous data. © 2004 ieee.

关键词： Forecasting

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Super-resolution through neighbor embedding

Super-resolution through neighbor embedding

引用

Proceedings of the 2004 ieee computer society conference on computer vision and pattern recognition, cvpr 2004

作者： Chang, Hong Yeung, Dit-Yan Xiong, Yimin Department of Computer Science Hong Kong Univ. of Sci. and Technol. Clear Water Bay Kowloon Hong Kong

In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as input, we recover its high-resolution counterpart using a set of training examples. While this formulation resembles other learning-based methods for super-resolution, our method has been inspired by recent manifold learning methods, particularly locally linear embedding (LLE). Specifically, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector corresponding to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness constraints between patches in the target high-resolution image through overlapping. Experiments show that our method is very flexible and gives good empirical results.

关键词： Image enhancement

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The symbiotic relationship of parts and monolithic face representations in verification

The symbiotic relationship of parts and monolithic face repr...

引用

2004 ieee computer society conference on computer vision and pattern recognition Workshops, cvprW 2004

作者： Lucey, Simon Advanced Multimedia Processing Laboratory Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA15213 United States

Techniques that treat the face holistically as a vector of pixel values, which we refer to as a monolithic representation, are still widely considered state of the art for the task of face verification in literature. Recently good performance has be attained in the task of face verification, using Gaussian mixture models (GMMs), via estimating a parts (i.e. image patch) face model;where the shape (i.e. spatial) information is largely ignored. In this paper we postulate that the characteristics current algorithms employ for verifying a face using monolithic and parts representations differ and are in many ways symbiotic;lending themselves to synergetic combination and improved verification performance. Results are presented on the BANCA database that demonstrate excellent verification performance in the presence of many common real world variabilities (e.g. camera degradation, minor pose variabilities, some changes in background and lighting). © 2004 ieee.

关键词： Face recognition

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Modeling complex motion by tracking and editing hidden Markov graphs

Modeling complex motion by tracking and editing hidden Marko...

引用

Proceedings of the 2004 ieee computer society conference on computer vision and pattern recognition, cvpr 2004

作者： Wang, Yizhou Zhu, Song Chun Computer Science Department University of California Los Angeles Department of Statistics University of California Los Angeles

In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four components: (1) A photometric model using primal sketch[8] which transfers an image into an attribute graph representation. Each vertex of the graph is a scaled and oriented image patch selected from a dictionary. The graph connects and aligns these patches. (2) A geometric model which characterizes the deformation of the attribute graph. (3) A dynamic model, which specifies the motion dynamics of these vertices (patches) and their interactions in the form of coupled Markov chains. (4) A topological model, which interprets the graph topological changes over time. We learn this generative model by a stochastic gradient algorithm implemented by Markov Chain Monte Carlo (MCMC) sampling. This method is shown to be effective in handling the topological changes of graphs. The correctness of the learned model is verified by the low-dimension reconstruction of the original image as well as by the realistic motion sequences it synthesized.

关键词： Motion estimation

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Midstream content access of visual pattern coded imagery

Midstream content access of visual pattern coded imagery

引用

2004 ieee computer society conference on computer vision and pattern recognition Workshops, cvprW 2004

作者： Schaefer, Gerald School of Computing and Technology Nottingham Trent University Nottingham United Kingdom

Multimedia retrieval is going to play an increasingly important role in the future. Since the availability of digital media seems ever rising, not only the retrieval performance in terms of what the user is presented with as a result but also the retrieval speed proves to be crucial. Images are arguably the most prominent type of media that is to be searched and retrieved, and similar to other media such as videos or sound, images are usually stored in compressed form in order to save storage and bandwidth resources. One way of addressing the speed problem is to perform image retrieval directly in the compressed domain thus saving the time it takes to decode the pictures. In this paper we introduce such a compressed domain image retrieval technique based on the Colour Visual pattern Image Coding (CVPIC) compression method. A combined colour co-occurrence/shape matrix is built and used in retrieval experiments. These experiments show that our approach is not only desirable from an efficiency point of view but that it also clearly outperforms popular image retrieval techniques such as colour histograms, colour coherence vectors and colour correlograms. © 2004 ieee.

关键词： Digital storage

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Uncontrolled modulation imaging

Uncontrolled modulation imaging

引用

Proceedings of the 2004 ieee computer society conference on computer vision and pattern recognition, cvpr 2004

作者： Schechner, Yoav Y. Nayar, Shree K. Dept. Electrical Engineering Technion - Israel Inst. Technology Haifa 32000 Israel Dept. Computer Science Columbia University New York NY 10027

To obtain high dynamic range or hyperspectral images, multiple frames of the same field of view are acquired while the imaging settings are modulated;images are taken at different exposures or through different wavelength bands. A major problem associated with such modulations has been the need for perfect synchronization between image acquisition and modulation control. In the past, this problem has been addressed by using sophisticated servo-control mechanisms. In this work, we show that the process of modulation imaging can be made much simpler by using vision algorithms to automatically relate each acquired frame to its corresponding modulation level. This correspondence is determined solely from the acquired image sequence and does not require measurement or control of the modulation. The image acquisition and the modulation work continuously, in parallel, and independently. We refer to this approach as computational synchronization. It makes the imaging process simple and easy to implement. We have developed a prototype modulation imaging system that uses computational synchronization and used it to acquire high dynamic range and multispectral images.

关键词： Imaging techniques

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Multigrid and multi-level Swendsen-Wang cuts for hierarchic graph partition

Multigrid and multi-level Swendsen-Wang cuts for hierarchic ...

引用

Proceedings of the 2004 ieee computer society conference on computer vision and pattern recognition, cvpr 2004

作者： Barbu, Adrian Zhu, Song-Chun Univ. of California Los Angeles Computer Science Department Univ. of California Los Angeles Statistics Department

Many vision tasks can be formulated as partitioning an adjacency graph through optimizing a Bayesian posterior probability p defined on the partition-space. In this paper two approaches are proposed to generalize the Swendsen-Wang cut algorithm for sampling p. The first method is called multigrid SW-cut which runs SW-cut within a sequence of local "attentional" windows and thus simulates conditional probabilities of p in the partition space. The second method is called multi-level SW-cut which projects the adjacency graph into a hierarchical representation with each vertex in the high level graph corresponding to a subgraph at the low level, and runs SW-cut at each level. Thus it simulates conditional probabilities of p at the higher level. Both methods are shown to observe the detailed balance equation and thus provide flexibilities in sampling the posterior probability p. We demonstrate the algorithms in image and motion segmentation with three levels (see Fig.1), and compare the speed improvement of the proposed methods.

关键词： Image segmentation

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Efficient graphical models for processing images

Efficient graphical models for processing images

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Proceedings of the 2004 ieee computer society conference on computer vision and pattern recognition, cvpr 2004

作者： Tappen, Marshall F. Russell, Bryan C. Freeman, William T. Comp. Sci. and Artif. Intell. Lab. Massachusetts Inst. of Technology Cambridge MA 02139

Graphical models are powerful tools for processing images. However, the large dimensionality of even local image data poses a difficulty: representing the range of possible graphical model node variables with discrete states leads to an overwhelmingly large number of states for the model, often making both exact and approximate inference computationally intractable. We propose a representation that allows a small number of discrete states to represent the large number of possible image values at each pixel or local image patch. Each node in the graph represents the best regression function, chosen from a set of candidate functions, for estimating the unobserved image pixels from the observed samples. This permits a small number of discrete states to summarize the range of possible image values at each point in the image. Belief propagation is then used to find the best regressor to use at each point. To demonstrate the usefulness of this technique, we apply it to two problems: super-resolution and color demosaicing. In both cases, we find our method compares well against other techniques for these problems.

关键词： computer vision

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Detection and removal of rain from videos

Detection and removal of rain from videos

引用

Proceedings of the 2004 ieee computer society conference on computer vision and pattern recognition, cvpr 2004

作者： Garg, Kshitiz Nayar, Shree K. Department of Computer Science Columbia University New York 10027

The visual effects of rain are complex. Rain consists of spatially distributed drops falling at high velocities. Each drop refracts and reflects the environment, producing sharp intensity changes in an image. A group of such falling drops creates a complex time varying signal in images and videos. In addition, due to the finite exposure time of the camera, intensities due to rain are motion blurred and hence depend on the background intensities. Thus, the visual manifestations of rain are a combination of both the dynamics of rain and the photometry of the environment In this paper, we present the first comprehensive analysis of the visual effects of rain on an imaging system. We develop a correlation model that captures the dynamics of rain and a physics-based motion blur model that explains the photometry of rain. Based on these models, we develop efficient algorithms for detecting and removing rain from videos. The effectiveness of our algorithms is demonstrated using experiments on videos of complex scenes with moving objects and time-varying textures. The techniques described in this paper can be used in a wide range of applications including video surveillance, vision based navigation, video/movie editing and video indexing/retrieval.

关键词： Video recording

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Improved real-time stereo on commodity graphics hardware

Improved real-time stereo on commodity graphics hardware

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2004 ieee computer society conference on computer vision and pattern recognition Workshops, cvprW 2004

作者： Yang, Ruigang Pollefeys, Marc Li, Sifang Department of Computer Science University of Kentucky LexingtonKY United States Department of Computer Science University of North Carolina at Chapel Hill Chapel HillNC United States

This paper presents a detailed description of an advanced real-time correlation-based stereo algorithm running completely on the graphics processing unit (GPU). This is important since it allows to free up the main processor for other tasks including high-level interpretation of the stereo results. Compared to previous GPU-based stereo implementations our implementation includes some advanced features such as adaptive windows and cross-checking. By taking advantage of advanced features of recent GPUs the proposed algorithm is also a lot faster than previous implementations. Our implementation running on an ATI Radeon 9800 graphics card achieves over 289 million disparity evaluations per second including all the overhead to download images and read-back the disparity map, which is several times faster than commercially available CPU-based implementations. © 2004 ieee.

关键词： Graphics processing unit

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