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IEEE Conference on Advanced Video and Signal Based Surveillance, 2005.

Date 15-16 Sept. 2005

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  • IEEE International Conference on Advanced Video and Signal based Surveillance

    Publication Year: 2005, Page(s): 0_1
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  • Advanced Video and Signal based Surveillance. Proceedings of AVSS 2005

    Publication Year: 2005
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  • Copyright page

    Publication Year: 2005, Page(s): ii
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  • Welcome message

    Publication Year: 2005, Page(s):v - vi
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  • Organization

    Publication Year: 2005, Page(s): vii
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  • Program Committee

    Publication Year: 2005, Page(s):viii - ix
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  • Conference program at a glance

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

    Publication Year: 2005, Page(s):xii - xx
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  • [Breaker page]

    Publication Year: 2005, Page(s):1 - 2
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  • Human motion recognition based on statistical shape analysis

    Publication Year: 2005, Page(s):4 - 9
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (662 KB) | HTML iconHTML

    Dynamic shape is a time series of the outlines of a moving object, which records the temporal variation of the shape of the object during its movement. We believe that the dynamic shape provides clues about the motion performed by the object. In this paper, we borrow tools from system identification to capture the "essence" of the dynamic shape, so that we convert the problems of modelling, learni... View full abstract»

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  • A belief theory-based static posture recognition systems for real-time video surveillance applications

    Publication Year: 2005, Page(s):10 - 15
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (654 KB) | HTML iconHTML

    This paper presents a system that can automatically recognize four different static human body postures for video surveillance applications. The considered postures are standing, sitting, squatting, and lying. The data come from the persons 2D segmentation and from their face localization. It consists in distance measurements relative to a reference posture (standing, arms stretched horizontally).... View full abstract»

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  • Video surveillance for aircraft activity monitoring

    Publication Year: 2005, Page(s):16 - 21
    Cited by:  Papers (4)  |  Patents (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (935 KB) | HTML iconHTML

    This paper presents a complete visual surveillance system for the automatic scene interpretation of airport aprons. The system comprises two modules scene tracking and scene understanding. The scene tracking module, comprising a bottom-up methodology, and the scene understanding module, comprising a video event representation and recognition scheme, have been demonstrated to be a valid approach fo... View full abstract»

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  • Clustering of human actions using invariant body shape descriptor and dynamic time warping

    Publication Year: 2005, Page(s):22 - 27
    Cited by:  Papers (9)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1044 KB) | HTML iconHTML

    We propose a human action clustering method based on a 3D representation of the body in terms of volumetric coordinates. Features representing body postures are extracted directly from 3D data, making the system inherently insensitive to viewpoint dependence, motion ambiguities and self-occlusions. An invariant shape descriptor of human body is obtained in order to capture only posture-dependent c... View full abstract»

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  • Relevance learning for spectral clustering with applications on image segmentation and video behaviour profiling

    Publication Year: 2005, Page(s):28 - 33
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (930 KB) | HTML iconHTML

    We aim to tackle the problem of unsupervised visual learning. A novel relevance learning algorithm is proposed for data clustering using eigenvectors of a data affinity matrix. We show that it is critical to select the relevant eigenvectors for both estimating the optimal number of clusters and performing data clustering especially given noisy and sparse data. The effectiveness of our algorithm is... View full abstract»

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  • On the feasibility of using a cognitive model to filter surveillance data

    Publication Year: 2005, Page(s):34 - 39
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (792 KB) | HTML iconHTML

    This paper describes a novel approach to the problem of automated visual surveillance. The authors have extended an existing algorithm which uses a cognitive model of navigation to explain behaviour in a surveillance setting. We then take this cognitive model and apply it to the problem of filtering surveillance data: typically, a surveillance or CCTV installation will have a limited number of ope... View full abstract»

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  • Trajectory clustering and its applications for video surveillance

    Publication Year: 2005, Page(s):40 - 45
    Cited by:  Papers (30)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (657 KB) | HTML iconHTML

    In this paper we present a trajectory clustering method suited for video surveillance and monitoring systems. The clusters are dynamic and built in real-time as the trajectory data is acquired, without the need of an off-line processing step. We show how the obtained clusters can be successfully used both to give proper feedback to the low-level tracking system and to collect valuable information ... View full abstract»

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  • Detecting and quantifying unusual interactions by correlating salient motion

    Publication Year: 2005, Page(s):46 - 51
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1103 KB) | HTML iconHTML

    A significant problem in scene interpretation is efficient bottom-up extraction and representation of salient features. In this paper, we address the problem of correlating salient motion at a spatio-temporal level and also across spatially separated regions since it is in the interactions that more sophisticated scene interpretation can be found. We show that it is possible to spatio-temporally l... View full abstract»

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  • Using local and global object's information to track vehicles in urban scenes

    Publication Year: 2005, Page(s):52 - 57
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (764 KB) | HTML iconHTML

    In intelligent transportation systems (ITS's) vehicle tracking is necessary to permit high-level analysis, such as vehicle counting or classification. Nowadays, the need for a precise vehicle behavior analysis is growing mainly in urban intersections. Typical urban traffic scenes contain high-cluttered areas where static and dynamic occlusions take place and objects are missed. Tracking systems re... View full abstract»

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  • Real-time change detection for surveillance in public transportation

    Publication Year: 2005, Page(s):58 - 63
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (866 KB) | HTML iconHTML

    The efficiency of event detection in video surveillance applications depends on the performance of the early stage of content change detection. However, this stage encounters difficulties deriving from the presence of noise in image acquisition devices. Furthermore, illumination variations in the surveyed scene tend to cause degradation in change detection results. This paper introduces a real-tim... View full abstract»

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  • Scene modelling using an adaptive mixture of Gaussians in colour and space

    Publication Year: 2005, Page(s):64 - 69
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (620 KB) | HTML iconHTML

    We present an integrated pixel segmentation and region tracking algorithm, designed for indoor environments. Visual monitoring systems often use frame differencing techniques to independently classify each image pixel as either foreground or background. Typically, this level of processing does not take account of the global image structure, resulting in frequent misclassification. We use an adapti... View full abstract»

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  • Denoising image sequences does not require motion estimation

    Publication Year: 2005, Page(s):70 - 74
    Cited by:  Papers (58)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (933 KB) | HTML iconHTML

    State of the art movie restoration methods either estimate motion and filter out the trajectories, or compensate the motion by an optical flow estimate and then filter out the compensated movie. Now, the motion estimation problem is ill posed. This fact is known as the aperture problem: trajectories are ambiguous since they could coincide with any promenade in the space-time isophote surface. In t... View full abstract»

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  • View registration using interesting segments of planar trajectories

    Publication Year: 2005, Page(s):75 - 80
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (813 KB) | HTML iconHTML

    We introduce a method for recovering the spatial and temporal alignment between two or more views of objects moving over a ground plane. Existing approaches either assume that the streams are globally synchronized, so that only solving the spatial alignment is needed, or that the temporal misalignment is small enough so that exhaustive search can be performed. In contrast, our approach can recover... View full abstract»

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  • Object tracking and matting for a class of dynamic image-based representations

    Publication Year: 2005, Page(s):81 - 86
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (999 KB) | HTML iconHTML

    Image-based rendering (IBR) is an emerging technology for photo-realistic rendering of scenes from a collection of densely sampled images and videos. Recently, an object-based approach for a class of dynamic image-based representations called plenoptic videos was proposed. This paper proposes an automatic object tracking approach using the level-set method. Our tracking method, which utilizes both... View full abstract»

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  • Coarse-to-fine strategy for robust and efficient change detectors

    Publication Year: 2005, Page(s):87 - 92
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1094 KB) | HTML iconHTML

    We present a novel approach to change detection based on a coarse-to-fine strategy. An efficient coarse-level detection is proposed that filters out most of the possible false changes, thus attaining reliable and tight coarse-grain super-masks of the truly changed areas. The subsequent fine-level detection can thus "focus the attention" just on the "interesting" parts of the frame and perform a ro... View full abstract»

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  • Entry edge of field of view for multi-camera tracking in distributed video surveillance

    Publication Year: 2005, Page(s):93 - 98
    Cited by:  Papers (5)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1100 KB) | HTML iconHTML

    Efficient solution to people tracking in distributed video surveillance is requested to monitor crowded and large environments. This paper proposes a novel use of the entry edges of field of view (E2oFoV) to solve the consistent labeling problem between partially overlapped views. An automatic and reliable procedure allows obtaining the homographic transformation between two overlapped ... View full abstract»

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