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Instantly telling what happens in a video sequence using simple features

Instantly telling what happens in a video sequence using sim...

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作者： Wang, Liang Wang, Yizhou Jiang, Tingting Gao, Wen School of Computer Science and Technology Harbin Institute of Technology Harbin China Nat'l Engineering Lab for Video Technology Peking University Beijing China School of EECS Peking University Beijing China

ISBN: (纸本)9781457703942

This paper presents an efficient method to tell what happens (e.g. recognize actions) in a video sequence from only a couple of frames in real time. For the sake of instantaneity, we employ two types of computationally efficient but perceptually important features, optical flow and edge, to capture motion and shape/structure information in video sequences. It is known that the two types of features are not sparse and can be unreliable or ambiguous at certain parts of a video. In order to endow them with strong discriminative power, we extend an efficient contrast set mining technique, the Emerging pattern (EP) mining method, to learn joint features from videos to differentiate action classes. Experimental results show that the combination of the two types of features achieves superior performance in differentiating actions than that of using each single type of features alone. The learned features are discriminative, statistically significant (reliable) and display semantically meaningful shape-motion structures of human actions. Besides the instant action recognition, we also extend the proposed approach to anomaly detection and sequential event detection. The experiments demonstrate encouraging results. © 2011 ieee.

关键词： Video recording

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Novel approach to real-time motion detection.

Novel approach to real-time motion detection.

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Proceedings - CVPR '88: computer society conference on computer vision and pattern recognition

作者： Lee, James S.J. Lin, C. Boeing Electronics High Technology Cent Seattle WA USA

ISBN: (纸本)0818608625

A real-time scheme is introduced that meets a need for fast, reliable, multiple-target motion detection without accurate object velocity or structure measurements. A multiresolution approach decomposes images into a pyramid with several spatial frequency bands to selectively detect motions of interest. Multiple moving targets are detected using a multiple window, coarse-to-fine focus of attention scheme to reconstruct motion energy and search for targets. Real-time sensor motion (translation and rotation) compensations use hierarchical correlation and minimum perturbation. Results are shown for multiple moving targets in FLIR (forward-looking infrared) image sequences from both stationary and moving sensors.

关键词： vision

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Longitudinal face modeling via Temporal Deep Restricted Boltzmann Machines

Longitudinal face modeling via Temporal Deep Restricted Bolt...

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2016 ieee conference on computer vision and pattern recognition, CVPR 2016

作者： Duong, Chi Nhan Luu, Khoa Quach, Kha Gia Bui, Tien D. Computer Science and Software Engineering Concordia University MontréalQC Canada CyLab. Biometrics Center Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA United States

ISBN: (纸本)9781467388511

Modeling the face aging process is a challenging task due to large and non-linear variations present in different stages of face development. This paper presents a deep model approach for face age progression that can efficiently capture the non-linear aging process and automatically synthesize a series of age-progressed faces in various age ranges. In this approach, we first decompose the longterm age progress into a sequence of short-term changes and model it as a face sequence. The Temporal Deep Restricted Boltzmann Machines based age progression model together with the prototype faces are then constructed to learn the aging transformation between faces in the sequence. In addition, to enhance the wrinkles of faces in the later age ranges, the wrinkle models are further constructed using Restricted Boltzmann Machines to capture their variations in different facial regions. The geometry constraints are also taken into account in the last step for more consistent age-progressed results. The proposed approach is evaluated using various face aging databases, i.e. FG-NET, Cross-Age Celebrity Dataset (CACD) and MORPH, and our collected large-scale aging database named AginG Faces in the Wild (AGFW). In addition, when ground-truth age is not available for input image, our proposed system is able to automatically estimate the age of the input face before aging process is employed.

关键词： computer vision

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The cognitive processing mechanism for the players' rule in MMO game

The cognitive processing mechanism for the players' rule in ...

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2008 ieee/WIC/ACM International conference on Web Intelligence and Intelligent Agent Technology - workshops, WI-IAT workshops 2008

作者： Song, Seungkeun Kim, Mijin Song, Doo Heon Division of Digital Contents Dongseo University Korea Republic of Dept. of Computer Game and Information Yong-in Songdam College Korea Republic of

ISBN: (纸本)9780769534961

The goal of this research is to explore the cognitive processing mechanism for players' rule. Based on the protocol analysis on data collected from the player's playing experience in Massively Multi-player Online (MMO) game, we construct a Goal Operator Method Selection Rule (GOMS) model and analyze rule behavior graphs (RBGs) of two different groups of level of expertise in MMO game. In result, we can see the crucial difference between game novices and experts in their behavior patterns. We discuss key implications of this research to support the early stage of game design process and to predict player's playing pattern in the beginning stage of gaming. © 2008 ieee.

关键词： Game design

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The development of an NLP-based Chinese ontology construction platform

The development of an NLP-based Chinese ontology constructio...

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2010 3rd ieee/WIC/ACM International conference on Web Intelligence and Intelligent Agent Technology - workshops, WI-IAT 2010

作者： Sui, Zhifang Liu, Yao Zhao, Jun Zhang, Hong Institute of Computational Linguistics Peking University Beijing 100871 China Institute of Scientific and Technical Information of China Beijing 100038 China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100190 China Artificial Intelligence Institute Beijing University Beijing 100083 China

ISBN: (纸本)9780769541914

This paper describes an NLP-based Chinese ontology construction platform developed by the authors. The construction platform is developed based on the open source project Protégé. The paper mainly focuses on two key technologies of automatic construction of ontology - the extraction of attribute value and the automatic generation of ontology hierarchy structure. The paper then introduces how the automatic construction technologies integrate into Protégé in the form of plug-in components, and finally describes the initial ideas for the development of an new ontology construction platform, which makes it possible to construct a large-scale ontology knowledge base. © 2010 ieee.

关键词： Ontology

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Camera-projector matching using an unstructured video stream

Camera-projector matching using an unstructured video stream

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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Marc-Antoine Drouin Pierre-Marc Jodoin Julien Prémont Institute of Information Technology National Research Council Canada Ottawa Canada MOIVRE Université de Sherbrooke Sherbrooke Canada

This paper presents a novel approach for matching 2D points between a video projector and a digital camera. Our method is motivated by camera-projector applications for which the projected image needs to be warped to prevent geometric distortion. Since the warping process often needs geometric information on the 3D scene that can only be obtained from triangulation, we propose a technique for matching points in the projector to points in the camera based on arbitrary video sequences. The novelty of our method lies in the fact that it does not require the use of pre-designed structured light patterns as is usually the case. The back bone of our application lies in a function that matches activity patterns instead of colors. This makes our method robust to pose, to severe photometric and geometric distortions. It also does not require calibration of the color response curve of the camera-projector system. We present quantitative and qualitative results with synthetic and real life examples, and compare the proposed method with the scale invariant feature transform (SIFT) method and with a state-of-the-art structured light technique. We show that our method performs almost as well as structured light methods and significantly outperforms SIFT when the contrast of the video captured by the camera has been degraded.

关键词： Streaming media Digital cameras Layout Video sequences Bones pattern matching Robustness Photometry Calibration Degradation

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Using Eye Region Biometrics to Reveal Affective and Cognitive States

Using Eye Region Biometrics to Reveal Affective and Cognitiv...

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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： R. Heishman Z. Duric H. Wechsler Department of Computer Science George Mason University Fairfax VA USA

Various facial region biometrics have been used extensively in the areas of recognition and authentication. However, some regions of the face provide more information than is currently being fully utilized in these specific capacities. Biometrics associated exclusively with the eye region hold a key to identifying and classifying particular affective and cognitive states. This paper focuses on 1) methods for identifying and deriving the appropriate biometric data inherent to the eye region that is most useful in specific HCI scenarios and, 2) outlining a framework for classification of these biometric data into affective and cognitive states relative to a particular HCI context.

关键词： Biometrics Human computer interaction Bioinformatics Face recognition Authentication pattern recognition Speech recognition Fatigue computer vision Emotion recognition

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Super-resolution texturing for online virtual globes

Super-resolution texturing for online virtual globes

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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Diego Rother Lance Williams Guillermo Sapiro University of Minnesota USA Google Inc. USA

Online virtual globe applications such as Google Earth and Maps, Microsoft Virtual Earth, and Yahoo! Maps, allow users to explore realistic models of the Earth. To provide the ground-level detail of interest to users, it is necessary to serve and render high resolution images. For planetary coverage at high resolution, a very large number of images need to be acquired, stored, and transmitted, with consequent high costs and difficulty for the application provider, often resulting in lower than expected performance. In this work we propose a supplementary approach to render appropriate visual information in these applications. Using super-resolution techniques based on the combination and extension of known texture transfer and synthesis algorithms, we develop a system to efficiently synthesize fine detail consistent with the textures served. This approach dramatically reduces the operational cost of virtual globe displays, which are among the most image-intensive applications on the Internet, while at the same time improving their appearance. The proposed framework is fast and preserves the coherence between corresponding images at different resolutions, allowing consistent and responsive interactive zooming and panning operations. The framework is capable of adapting a library of multiscale textures to pre-segmented regions in the highest-resolution texture maps available. We also describe a simple interface to obtain class label information from contributing users. The presentation of the constituent techniques is complemented with examples simulating our framework embedded in Google Earth.

关键词： Earth Image resolution Displays Rendering (computer graphics) Costs Navigation Pixel Internet Crops Image storage

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Tracking multiple pedestrians in real-time using kinematics

Tracking multiple pedestrians in real-time using kinematics

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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： S. Apewokin B. Valentine R. Bales L. Wills S. Wills School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

We present an algorithm for real-time tracking of multiple pedestrians in a dynamic scene. The algorithm is targeted for embedded systems and reduces computational and storage costs by using an inexpensive kinematic tracking model with only fixed-point arithmetic representations. Our algorithm leverages from the observation that pedestrians in a dynamic scene tend to move with uniform speed over a small number of consecutive frames. We use a multimodal background modeling technique to accurately segment the foreground (moving people) from the background. We then use connectivity analysis to identify blobs in the foreground and calculate the center of mass of each blob. Finally, we establish correspondence between the center of mass of each blob in the current frame with center of mass information gathered from the two immediately preceding frames. We evaluate our algorithm on a real outdoor video sequence taken with an inexpensive webcam. Our implementation successfully tracks each pedestrian from frame to frame in real-time. Our algorithm performs well in challenging situations resulting from occlusion and crowded conditions, running on an eBox-2300 Thin Client VESA PC.

关键词： Kinematics Layout Target tracking Shape Embedded computing Cameras Humans Acceleration Embedded system Computational efficiency

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3D non-rigid registration for MPU implicit surfaces

3D non-rigid registration for MPU implicit surfaces

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ieee computer society conference on computer vision and pattern recognition workshops (CVPRW)

作者： Tung-Ying Lee Shang-Hong Lai Department of Computer Science National Tsing Hua University Hsinchu Taiwan

Implicit surface representation is well suited for surface reconstruction from a large amount of 3D noisy data points with non-uniform sampling density. Previous 3D non-rigid model registration methods can only be applied to the mesh or volume representations, but not directly to implicit surfaces. To our best knowledge, the previous 3D registration methods for implicit surfaces can only handle rigid transformation and they must keep the data points on the surface. In this paper, we propose a new 3D non-rigid registration algorithm to register two multi-level partition of unity (MPU) implicit surfaces with a variational formulation. The 3D non-rigid transformation between two implicit surfaces is a continuous deformation function, which is determined via an energy minimization procedure. Under the octree structure in the MPU surface, each leaf cell is transformed by an individual affine transformation associated with an energy that is related to the distance between two general quadrics. The proposed algorithm can directly register between two 3D implicit surfaces without sampling on the two signed distance functions or polygonalizing implicit surfaces, which makes our algorithm efficient in both computation and memory requirement. Experimental results on 3D human organ and sculpture models demonstrate the effectiveness of the proposed algorithm.

关键词： Surface reconstruction Sampling methods Partitioning algorithms Registers Humans

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