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Event-Based Tracking Evaluation Metric

Event-Based Tracking Evaluation Metric

引用

Workshop on Motion and Video Computing

作者： D. Roth E. Koller-Meier D. Rowe T.B. Moeslund L. Van Gool ETH Zurich Computer Vision Laboratory Switzerland Computer Vision Center Universidad Autonoma de Barcelona Barcelona Spain Laboratory of Computer Vision and Media Technology University of Aalborg Denmark

ISBN: (纸本)9781424420001

This paper describes a novel tracking performance evaluation metric based on the successful detection of events, rather than low-level image processing criteria. A general event metric is defined to measure whether the agents and actions in the scene given by the ground truth were correctly tracked by comparing two event lists using dynamic programming. This metric is suitable to evaluate and compare different tracking approaches where the underlying algorithm may be completely different. Furthermore, we introduce an automatic extraction of those semantically high level events from different types of low level tracking data and human annotated ground truth. A case study with two different trackers on public datasets shows the effectiveness of this evaluation scheme.

关键词： Layout Humans computer vision Event detection Dynamic programming Trajectory Laboratories Data mining Videos Surveillance

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Design sparse features for age estimation using hierarchical face model

Design sparse features for age estimation using hierarchical...

引用

International Conference on Automatic Face and Gesture Recognition

作者： Jinli Suo Tianfu Wu Songchun Zhu Shiguang Shan Xilin Chen Wen Gao Chinese Academy and Sciences China Lotus Hill Institute of Computer Vision and Information Science China Key Laboratory of Intelligent Information Processing of CAS Institute of Computing Technology Chinese Academy of Sciences Beijing China Institute of Digital Media Peking University China

A key point in automatic age estimation is to design feature set essential to age perception. To achieve this goal, this paper builds up a hierarchical graphical face model for faces appearing at low, middle and high resolution respectively. Along the hierarchy, a face image is decomposed into detailed parts from coarse to fine. Then four types of features are extracted from this graph representation guided by the priors of aging process embedded in the graphical model: topology, geometry, photometry and configuration. On age estimation, this paper follows the popular regression formulation for mapping feature vectors to its age label. The effectiveness of the presented feature set is justified by testing results on two datasets using different kinds of regression methods. The experimental results in this paper show that designing feature set for age estimation under the guidance of hierarchical face model is a promising method and a flexible framework as well.

关键词： Aging Feature extraction Active appearance model Face detection Spatial databases Skin Hair Content addressable storage computer vision Humans

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Automatic Annotation of Humans in Surveillance Video

Automatic Annotation of Humans in Surveillance Video

引用

Canadian Conference on computer and Robot vision, CRV

作者： D.M. Hansen B.K. Mortensen P.T. Duizer J.R. Andersen T.B. Moeslund Laboratory of Computer Vision and Media Technology University of Aalborg Denmark

In this paper we present a system for automatic annotation of humans passing a surveillance camera. Each human has 4 associated annotations: the primary color of the clothing, the height, and focus of attention. The annotation occurs after robust background subtraction based on a Codebook representation. The primary colors of the clothing are estimated by grouping similar pixels according to a body model. The height is estimated based on a 3D mapping using the head and feet. Lastly, the focus of attention is defined as the overall direction of the head, which is estimated using changes in intensity at four different positions. Results show successful detection and hence successful annotation for most test sequences.

关键词： Humans Surveillance Robustness Image segmentation Layout Clothing Head Cameras computer vision Focusing

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Classification of gait types based on the duty-factor

Classification of gait types based on the duty-factor

引用

IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Preben Fihl Thomas B. Moeslund Laboratory of Computer Vision and Media Technology University of Aalborg Denmark

This paper deals with classification of human gait types based on the notion that different gait types are in fact different types of locomotion, i.e., running is not simply walking done faster. We present the duty-factor, which is a descriptor based on this notion. The duty-factor is independent on the speed of the human, the cameras setup etc. and hence a robust descriptor for gait classification. The duty-factor is basically a matter of measuring the ground support of the feet with respect to the stride. We estimate this by comparing the incoming silhouettes to a database of silhouettes with known ground support. Silhouettes are extracted using the codebook method and represented using shape contexts. The matching with database silhouettes is done using the Hungarian method. While manually estimated duty-factors show a clear classification the presented system contains misclassifications due to silhouette noise and ambiguities in the database silhouettes.

关键词： Humans Legged locomotion Surveillance Cameras computer vision Databases Ground support Horses Laboratories Robustness

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Recognition of deictic gestures for wearable computing

Recognition of deictic gestures for wearable computing

引用

6th International Gesture Workshop, GW 2005

作者： Moeslund, Thomas B. Nørgaard, Lau Laboratory of Computer Vision and Media Technology Aalborg University Denmark

ISBN: (纸本)3540326243

In modern society there is an increasing demand to access, record and manipulate large amounts of information. This has inspired a new approach to thinking about and designing personal computers, where the ultimate goal is to produce a truly wearable computer. In this work we present a non-invasive handgesture recognition system aimed at deictic gestures. Our system is based on the powerful Sequential Monte Carlo framework which is enhanced with respect to increased robustness. This is achieved by using ratios in the likelihood function together with two image cues: edges and skin color. The system proves to be fast, robust towards noise, and quick to lock on to the object (hand). All of which is achieved without the use of special lighting or special markers on the hands, hence our system is a non-invasive solution. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Gesture recognition

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Noise characterization of weighting schemes for combination of multiple exposures

Noise characterization of weighting schemes for combination ...

引用

2006 17th British Machine vision Conference, BMVC 2006

作者： Kirk, Kristian Andersen, Hans Jørgen Computer Vision and Media Technology Laboratory Aalborg University Denmark

ISBN: (纸本)1904410146

A method for capturing high intensity dynamic range scenes with a low dynamic range camera consists in taking a series of images with different exposure settings and combining these into a single high dynamic range image. The combined image values are found by weighted averaging of values from the differently exposed images on a per-pixel basis. This paper reviews existing weighting schemes and considers their noise properties. Furthermore, a minimum-variance solution is introduced which exploits a camera noise model. Special emphasis is on the case when the camera is linear. A method is given for estimating the uncertainty of the combined image values. The results are validated experimentally.

关键词： Cameras

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Finding motion primitives in human body gestures

Finding motion primitives in human body gestures

引用

6th International Gesture Workshop, GW 2005

作者： Reng, Lars Moeslund, Thomas B. Granum, Erik Laboratory of Computer Vision and Media Technology Aalborg University Denmark

ISBN: (纸本)3540326243

In the last decade speech processing has been applied in commercially available products, One of the key reasons for its success is the identification and use or an underlying set or generic symbols (phonemes) constituting all speech. In this work we follow the same approach, but for the problem or human body gestures. That is, the topic or this paper is how to define a framework for automatically finding primitives for human body gestures. This is done by considering a gesture as a trajectory and then searching for points where the density of the training data is high. The trajectories are re-sampled to enable a direct comparison between the samples of each trajectory, and enable time invariant comparisons. This work demonstrates and tests the primitive's ability to reconstruct sampled trajectories. Promising test results are shown for samples from different test persons performing gestures from a small one armed gesture set. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Gesture recognition

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Estimation of Dynamic Light Changes in Outdoor Scenes Without the use of Calibration Objects

Estimation of Dynamic Light Changes in Outdoor Scenes Withou...

引用

International Conference on Pattern Recognition

作者： M.S. Andersen T. Jensen C.B. Madsen Laboratory of Computer Vision and Media Technology University of Aalborg Aalborg Denmark

The work presented in this paper explores how dynamical light parameters in an outdoor environment can be estimated for use in a real-time augmented reality (AR) system. A method using existing inverse rendering techniques is used to acquire diffuse surface reflectances in an offline procedure. The reflectances are used in an on-line procedure to estimate the illumination parameters of an outdoor scene. The method presented reduces the light estimation problem of outdoor scenes to a modified Phong shading model with two unknown parameters, which can be determined through the use of a linear equations system. The work presented provides an elegant method for estimating dynamically changing illumination parameters without the need for a calibration object in the scene

关键词： Layout Calibration Lighting Augmented reality State estimation Reflectivity Sun Clouds Image analysis Laboratories

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Bin-Picking based on Harmonic Shape Contexts and Graph-Based Matching

Bin-Picking based on Harmonic Shape Contexts and Graph-Based...

引用

International Conference on Pattern Recognition

作者： J. Kirkegaard T.B. Moeslund Image House A/S Copenhagen Denmark Laboratory of Computer Vision and Media Technology University of Aalborg Denmark

ISBN: (纸本)0769525210

In this work we address the general bin-picking problem where 3D data is available. We apply harmonic shape contexts (HSC) features since these are invariant to translation, scale, and 3D rotation. Each object is divided into a number of sub-models each represented by a number of HSC features. These are compared with HSC features extracted in the current data using a graph-based scheme. Results show that the approach is somewhat sensitive to noise, but works in presence of occlusion

关键词： Shape computer vision Service robots Robot sensing systems Robotics and automation Feature extraction Data mining Noise shaping computer industry Application software

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3D pose estimation of cactus leaves using an active shape model

3D pose estimation of cactus leaves using an active shape mo...

引用

7th IEEE Workshop on Applications of computer vision, WACV 2005

作者： Moeslund, Thomas B. Aagaard, Michael Lerche, Dennis Laboratory of Computer Vision and Media Technology Aalborg University Denmark

ISBN: (纸本)0769522718

Future Machine vision applications have to cope with 3D non-rigid objects. One such application is 3D pose estimation of cactus leaves, which is the topic in this paper. We apply an Active Shape Model (ASM) to estimate the 2D pose of a leaf in one image. We post-process the ASM in order to find well-defined characteristics which are located in a second image using correlation. This process provides 3D points which are used to find the 3D pose of the leaf. Tests show that 84.6% of the 3D poses are found correctly.

关键词： Gesture recognition

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