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Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005. 2nd Joint IEEE International Workshop on

Date 15-16 Oct. 2005

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  • [Cover]

    Publication Year: 2005, Page(s): C1
    Cited by:  Papers (1)
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  • VS-PETS 2005

    Publication Year: 2005, Page(s): nil1
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  • Proceedings. 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS) (IEEE Cat. No. 05EX1178)

    Publication Year: 2005
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  • Copyright page

    Publication Year: 2005, Page(s): nil3
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  • Table of contents

    Publication Year: 2005, Page(s):nil4 - nil8
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  • Foreword

    Publication Year: 2005, Page(s): nil9
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  • Conference committee

    Publication Year: 2005, Page(s): nil10
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  • Programme Committee

    Publication Year: 2005, Page(s):nil11 - nil12
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  • Online learning of region confidences for object tracking

    Publication Year: 2005, Page(s):1 - 8
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5134 KB) | HTML iconHTML

    This paper presents an online learning method for object tracking. Motivated by the attention shifting among local regions of a human vision system during tracking, we propose to allow different regions of an object to have different confidences. The confidence of each region is learned online to reflect the discriminative power of the region in feature space and the probability of occlusion. The ... View full abstract»

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  • Validation of blind region learning and tracking

    Publication Year: 2005, Page(s):9 - 16
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4776 KB) | HTML iconHTML

    Multi view tracking systems enable an object's identity to be preserved as it moves through a wide area surveillance network of cameras. One limitation of these systems is an inability to track objects between blind regions, i.e. pans of the scene that are not observable by the network of cameras. Recent interest has been shown in blind region learning and tracking but not much work has been repor... View full abstract»

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  • Rao-Blackwellised particle filter for tracking with application in visual surveillance

    Publication Year: 2005, Page(s):17 - 24
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3512 KB) | HTML iconHTML

    Particle filters have become popular tools for visual tracking since they do not require the modeling system to be Gaussian and linear. However, when applied to a high dimensional state-space, particle filters can be inefficient because a prohibitively large number of samples may be required in order to approximate the underlying density functions with desired accuracy. In this paper, by proposing... View full abstract»

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  • Object tracking with dynamic feature graph

    Publication Year: 2005, Page(s):25 - 32
    Cited by:  Papers (13)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2400 KB) | HTML iconHTML

    Two major problems for model-based object tracking are: 1) how to represent an object so that it can effectively be discriminated with background and other objects; 2) how to dynamically update the model to accommodate the object appearance and structure changes. Traditional appearance based representations (like color histogram) fails when the object has rich texture. In this paper, we present a ... View full abstract»

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  • Data fusion for robust head tracking by particles

    Publication Year: 2005, Page(s):33 - 40
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3608 KB) | HTML iconHTML

    The paper presents a data fusion panicle filter for robust head tracking in video surveillance applications. With head detection based on moving region contour analysis, we propose a data fusion particle filter to fuse head detection results with colour and edge cues for robust head tracking. Connections of the proposed particle filter with previous work are also discussed where proposal distribut... View full abstract»

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  • Integrating component cues for human pose tracking

    Publication Year: 2005, Page(s):41 - 48
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3656 KB) | HTML iconHTML

    Tracking human body pose in monocular video in the presence of image noise, imperfect foreground extraction and partial occlusion of the human body is important for many video analysis applications. Human pose tracking can be made more robust by integrating the detection of components such as face and limbs. We proposed an approach based on data-driven Markov chain Monte Carlo (DD-MCMC) where comp... View full abstract»

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  • Efficient occlusion handling for multiple agent tracking by reasoning with surveillance event primitives

    Publication Year: 2005, Page(s):49 - 56
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4936 KB) | HTML iconHTML

    Tracking multiple agents in a monocular visual surveillance system is often challenged by the phenomenon of occlusions. Agents entering the field of view can undergo two different forms of occlusions, either caused by crowding or due to obstructions by background objects at finite distances from the camera. The agents are primarily detected as foreground blobs and are characterized by their motion... View full abstract»

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  • Ontology-based hierarchical conceptual model for semantic representation of events in dynamic scenes

    Publication Year: 2005, Page(s):57 - 64
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3296 KB) | HTML iconHTML

    There is an increasing interest in semantic analysis of events in dynamic scenes in recent years, and many different methods have been reported for this challenging problem. A new approach towards event modeling and analysis with semantic representations is proposed in this paper. Our method is inspired by the entity-relation model in software engineering. It integrates all related information int... View full abstract»

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  • Behavior recognition via sparse spatio-temporal features

    Publication Year: 2005, Page(s):65 - 72
    Cited by:  Papers (540)  |  Patents (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3800 KB) | HTML iconHTML

    A common trend in object recognition is to detect and leverage the use of sparse, informative feature points. The use of such features makes the problem more manageable while providing increased robustness to noise and pose variation. In this work we develop an extension of these ideas to the spatio-temporal case. For this purpose, we show that the direct 3D counterparts to commonly used 2D intere... View full abstract»

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  • A hybrid blob- and appearance-based framework for multi-object tracking through complex occlusions

    Publication Year: 2005, Page(s):73 - 80
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2992 KB) | HTML iconHTML

    Static and dynamic occlusions due to stationary scene structures and/or interactions between moving objects are a major concern in tracking multiple objects in dynamic and cluttered visual scenes. We propose a hybrid blob- and appearance-based analysis framework as a solution to the problem, exploiting the strength of both. The core of this framework is an effective probabilistic appearance based ... View full abstract»

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  • Robust object matching for persistent tracking with heterogeneous features

    Publication Year: 2005, Page(s):81 - 88
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4976 KB) | HTML iconHTML

    Tracking objects over a long period of time in realistic environments remains a challenging problem for ground and aerial video surveillance. Matching objects and verifying their identities across multiple spatial and temporal gaps proves to be an effective way to extend tracking range. When an object track is lost due to occlusion or other reasons, we need to learn the object signature and use it... View full abstract»

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  • Tracking objects in occluding environments using temporal spatio-velocity transform

    Publication Year: 2005, Page(s):89 - 96
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7746 KB) | HTML iconHTML

    This paper presents a methodology for tracking moving objects in an occluded environment when occlusion occurs. We analyze sequences in which physical obstacles such as fences and trees divide an object into several blobs, both spatially and temporally. Our system successfully tracks the divided blobs as one object and reconstructs the whole object. We use the temporal spatio-velocity (TSV) transf... View full abstract»

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  • Distant targets identification as an on-line dynamic vehicle routing problem using an active-zooming camera

    Publication Year: 2005, Page(s):97 - 104
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3338 KB) | HTML iconHTML

    This paper considers the problem of modeling an active observer to plan a sequence of decisions regarding what target to look at, through a foveal-sensing action. The gathered images by the active observer provides meaningful identification imagery of distant targets which are not recognizable in a wide angle view. We propose a framework in which a pan/tilt/zoom (PTZ) camera schedules saccades in ... View full abstract»

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  • Evaluation of MPEG7 color descriptors for visual surveillance retrieval

    Publication Year: 2005, Page(s):105 - 112
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3256 KB) | HTML iconHTML

    This paper presents the results to evaluate the effectiveness of MPEG 7 color descriptors in visual surveillance retrieval problems. A set of image sequences of pedestrians entering and leaving a room, viewed by two cameras, is used to create a test set. The problem posed is the correct identification of other sequences showing the same person as contained in an example image. Color descriptors fr... View full abstract»

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  • Comparison of target detection algorithms using adaptive background models

    Publication Year: 2005, Page(s):113 - 120
    Cited by:  Papers (17)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (672 KB) | HTML iconHTML

    This article compares the performance of target detectors based on adaptive background differencing on public benchmark data. Five state of the art methods are described. The performance is evaluated using state of the art measures with respect to ground truth. The original points are the comparison to hand labelled ground truth and the evaluation on a large database. The simpler methods LOTS and ... View full abstract»

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  • Appearance-based 3D face tracker: an evaluation study

    Publication Year: 2005, Page(s):121 - 128
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6776 KB) | HTML iconHTML

    The ability to detect and track human heads and faces in video sequences is useful in a great number of applications. In this paper, we present our recent 3D face tracker that combines online appearance models with an image registration technique. This monocular tracker runs in real-time and is drift insensitive. We introduce a scheme that takes into account the orientation of local facial regions... View full abstract»

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  • Performance evaluating the evaluator

    Publication Year: 2005, Page(s):129 - 136
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2040 KB) | HTML iconHTML

    When evaluating the performance of a computer-based visual tracking system one often wishes to compare results with a standard human observer. It is a natural assumption that humans fully understand the relatively simple scenes we subject our computers to and because of this, two human observers would draw the same conclusions about object positions, tracks, size and even simple behaviour patterns... View full abstract»

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