Proceedings Workshop on Human Motion

7-8 Dec. 2000

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  • Proceedings Workshop on Human Motion

    Publication Year: 2000
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    Freely Available from IEEE
  • Phase in model-free perception of gait

    Publication Year: 2000, Page(s):3 - 10
    Cited by:  Papers (7)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (972 KB)

    Variations in human gaits are manifest in the timing of the many combined motions in the gait. In periodic systems, such as a gait, timing reduces to phase. Therefore, in order to capture the important information in the timing patterns in a gait, one must consider phase. Gaits vary for several reasons, including different builds, moods of individuals, fatigue and injury. We investigate the relati... View full abstract»

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  • A computational model for motion detection and direction discrimination in humans

    Publication Year: 2000, Page(s):11 - 16
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (512 KB)

    Seeing biological motion is very important for both humans and computers. Psychophysics experiments show that the ability of our visual system for biological motion detection and direction discrimination is different from that for simple translation. The existing quantitative models of motion perception cannot explain these findings. We propose a computational model, which uses learning and statis... View full abstract»

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  • Specialized mappings and the estimation of human body pose from a single image

    Publication Year: 2000, Page(s):19 - 24
    Cited by:  Papers (22)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (638 KB)

    We present an approach for recovering articulated body pose from single monocular images using the Specialized Mappings Architecture (SMA), a nonlinear supervised learning architecture. SMAs consist of several specialized forward (input to output space) mapping functions and a feedback matching function, estimated automatically from data. Each of these forward functions maps certain areas (possibl... View full abstract»

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  • Talking heads: introducing the tool of 3D motion fields in the study of action

    Publication Year: 2000, Page(s):25 - 30
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (645 KB)

    We demonstrate a method to complete three-dimensional (3D) motion fields on a face to serve as an intermediate representation for the study of actions. Twelve synchronized and calibrated cameras are positioned all around a talking person and observe its head in motion. We represent the head as a deformable mesh, which is fitted in a global optimization step to silhouette-contour and multi-camera s... View full abstract»

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  • A framework for motion recognition with applications to American sign language and gait recognition

    Publication Year: 2000, Page(s):33 - 38
    Cited by:  Papers (13)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (665 KB)

    Human motion recognition has many important applications, such as improved human-computer interaction and surveillance. A big problem that plagues this research area is that human movements can be very complex. Managing this complexity is difficult. We turn to American sign language (ASL) recognition to identify general methods that reduce the complexity of human motion recognition. We present a f... View full abstract»

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  • An incremental approach towards automatic model acquisition for human gesture recognition

    Publication Year: 2000, Page(s):39 - 44
    Cited by:  Papers (5)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (764 KB)

    The recognition of natural gestures typically involves: the collection of training examples; the generation of models; and the determination of a model that is most likely to have generated an observation sequence. The first step however, the collection of training examples, typically involves manual segmentation and hand labelling of image sequences. This is a time consuming and labour intensive ... View full abstract»

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  • Individual recognition from periodic activity using hidden Markov models

    Publication Year: 2000, Page(s):47 - 52
    Cited by:  Papers (13)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (510 KB)

    We present a method for recognizing individuals from their walking and running gait. The method is based on Hu moments of the motion segmentation in each frame. Periodicity is detected in such a sequence of feature vectors by minimizing the sum of squared differences, and the individual is recognized from the feature vector sequence using hidden Markov models. Comparisons are made to earlier perio... View full abstract»

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  • On the improvement of anthropometry and pose estimation from a single uncalibrated image

    Publication Year: 2000, Page(s):53 - 60
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (728 KB)

    We developed a technique that allows semiautomatic estimation of anthropometry and pose from a single image. However, estimation was limited to a class of images for which an adequate number of human body segments were almost parallel to the image plane. We present a generalization of that estimation algorithm that exploits pairwise geometric relationships of body segments to allow estimation from... View full abstract»

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  • Human activity detection in MPEG sequences

    Publication Year: 2000, Page(s):61 - 66
    Cited by:  Papers (19)  |  Patents (7)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (713 KB)

    We propose a hierarchical method for human detection and activity recognition in MPEG sequences. The algorithm consists of three stages at different resolution levels. The first step is based on the principal component analysis of MPEG motion vectors of macroblocks grouped according to velocity, distance and human body proportions. This step reduces the complexity and amount of processing data. Th... View full abstract»

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  • ELEVIEW: an active elevator video surveillance system

    Publication Year: 2000, Page(s):67 - 72
    Cited by:  Papers (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (523 KB)

    In this paper, a novel study for an automated scene interpretation system, named ELEVIEW, is reported to outline the design of the system. It is motivated by the reported crimes that happen inside elevators. The main goal is to investigate techniques that make an ordinary elevator monitoring system intelligent, i.e. see the scene and understand actions that are occurring. The system could filter o... View full abstract»

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  • Robust head motion computation by taking advantage of physical properties

    Publication Year: 2000, Page(s):73 - 77
    Cited by:  Papers (8)  |  Patents (5)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (652 KB)

    Head motion determination is an important problem for many applications including face modeling and tracking. We present a new algorithm to compute the head motion between two views from the correspondences of five feature points (eye corners, mouth corners and nose tip), and zero or more additional image point matches. The algorithm takes advantage of the physical properties of the feature points... View full abstract»

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  • Ray carving with gradients and motion

    Publication Year: 2000, Page(s):81 - 87
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (836 KB)

    Recent developments in camera and computer technology have made multiple-camera systems less expensive and more usable. Using such systems, we can generate 3D models of human activity for use in surveillance, as avatars, or for 3D effects generation. Some approaches to model generation are voxel coloring, space carving, silhouette intersection, and the combination of multiple stereo reconstruction... View full abstract»

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  • Tracking multiple objects in the presence of articulated and occluded motion

    Publication Year: 2000, Page(s):88 - 95
    Cited by:  Papers (17)  |  Patents (8)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (935 KB)

    Presents a novel approach to the tracking of multiple articulate objects in the presence of occlusion in moderately complex scenes. Most conventional tracking algorithms work well when only one object is tracked at a time. However, when multiple objects must be tracked simultaneously, significant computation is often introduced in order to handle occlusion and to calculate the appropriate region c... View full abstract»

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  • Human motion tracking system based on skeleton and surface integration model using pressure sensors distribution bed

    Publication Year: 2000, Page(s):99 - 106
    Cited by:  Papers (19)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (872 KB)

    Proposes a human motion tracking system based on a full-body model and a pressure-sensor distribution bed. The full-body model consists of a skeleton and a surface model. BVH files are used as the skeleton model that describes a hierarchy of joints and links. Wavefront object files are used as the surface model that describes the geometry of the surface. The bed has 210 pressure sensors that are u... View full abstract»

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  • Activity monitoring and summarization for an intelligent meeting room

    Publication Year: 2000, Page(s):107 - 112
    Cited by:  Papers (20)  |  Patents (9)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (911 KB)

    Intelligent meeting rooms should support efficient and effective interactions among their occupants. In this paper, we present our efforts toward building intelligent environments using a multimodal sensor network of static cameras, active (pan/tilt/zoom) cameras and microphone arrays. Active cameras are used to capture details associated with interesting events. The goal is not only to make a sys... View full abstract»

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  • Camera handoff: tracking in multiple uncalibrated stationary cameras

    Publication Year: 2000, Page(s):113 - 118
    Cited by:  Papers (22)  |  Patents (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (814 KB)

    Multiple cameras are needed to completely cover an environment for monitoring activity. To track people successfully in multiple perspective imagery, one needs to establish a correspondence between objects captured by multiple cameras. We present a system for tracking people using multiple uncalibrated cameras. The system is able to discover spatial relationships between the cameras' fields of vie... View full abstract»

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  • Modeling the constraints of human hand motion

    Publication Year: 2000, Page(s):121 - 126
    Cited by:  Papers (51)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (655 KB)

    Hand motion capture is one of the most important parts of gesture interfaces. Many current approaches to this task generally involve a formidable nonlinear optimization problem in a large search space. Motion capture can be achieved more cost-efficiently when considering the motion constraints of a hand. Although some constraints can be represented as equalities or inequalities, there exist many c... View full abstract»

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  • Person counting using stereo

    Publication Year: 2000, Page(s):127 - 133
    Cited by:  Papers (41)  |  Patents (13)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (731 KB)

    Stores and shopping malls would like to keep track of shopper volume by employing automatic techniques for counting shoppers. Existing approaches instrument doors with infrared beams and count beam interruptions, but this approach cannot resolve groups of people well. We are applying a vision-based approach that detects and tracks people from a stereo camera mounted above a door and pointing down.... View full abstract»

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  • Realistic synthesis of novel human movements from a database of motion capture examples

    Publication Year: 2000, Page(s):137 - 142
    Cited by:  Papers (33)  |  Patents (8)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (520 KB)

    Presents a system that can synthesize novel motion sequences from a database of motion capture examples. This is achieved through learning a statistical model from the captured data which enables the realistic synthesis of new movements by sampling the original captured sequences. New movements are synthesized by specifying the start and end keyframes. The statistical model identifies segments of ... View full abstract»

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  • Face detection and attentional frames for visually mediated interaction

    Publication Year: 2000, Page(s):143 - 148
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (700 KB)

    Introduces a set of effective computational techniques for understanding the visual aspects of human interaction, which could be used, for example, in videoconferencing applications. First, we present methods for face detection and the capture of attentional frames to focus the processing for visually mediated interaction. Second, we present methods for recognising the various gesture phases that ... View full abstract»

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  • Real-time human motion analysis and IK-based human figure control

    Publication Year: 2000, Page(s):149 - 154
    Cited by:  Papers (12)  |  Patents (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (559 KB)

    The paper presents real-time human motion analysis based on real-time inverse kinematics. Our purpose is to realize a mechanism of human-machine interaction via human gestures, and, as a first step, we have developed a computer-vision-based human motion analysis system. In general, man-machine "smart" interaction requires a real-time human full-body motion capturing system without special devices ... View full abstract»

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  • Human motion from active contours

    Publication Year: 2000, Page(s):155 - 160
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (656 KB)

    We describe an approach for extracting three-dimensional articulated motion from unrestricted monocular video sequences. We combine feature extraction methods based on active contours with interactive adjustment. An articulated model is interactively aligned with the image in selected anchor frames. Active contour points are anchored to model segments in these frames. Occluded points are detected ... View full abstract»

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  • Hand shape estimation using image transition network

    Publication Year: 2000, Page(s):161 - 166
    Cited by:  Papers (7)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (603 KB)

    We present a method of hand posture estimation from silhouette images taken by two cameras. First, we extract the silhouette contour for a pair of images. We construct an eigenspace from images of hands with various postures. For effective matching, we define a shape complexity for each image to see how well the shape feature is represented. For a pair of input images, the total matching error is ... View full abstract»

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  • Author index

    Publication Year: 2000, Page(s): 167
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    Freely Available from IEEE