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Advanced Video and Signal-Based Surveillance (AVSS), 2011 8th IEEE International Conference on

Date Aug. 30 2011-Sept. 2 2011

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  • [Front cover]

    Publication Year: 2011, Page(s): c1
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  • [Title page]

    Publication Year: 2011, Page(s): i
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  • [Copyright notice]

    Publication Year: 2011, Page(s): ii
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  • Message from the general chairs

    Publication Year: 2011, Page(s):iii - iv
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  • Organization

    Publication Year: 2011, Page(s):v - viii
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  • Contents

    Publication Year: 2011, Page(s):ix - xvi
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  • Part I Main track

    Publication Year: 2011, Page(s): 1
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  • Keynote

    Publication Year: 2011, Page(s): 2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (75 KB)

    Provides an abstract of the keynote presentation and a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings. View full abstract»

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  • Photo forensics: There is more to a picture than meets the eye

    Publication Year: 2011, Page(s): 3
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  • Oral session 1 Pose, gait and faces

    Publication Year: 2011, Page(s): 4
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  • Combined estimation of location and body pose in surveillance video

    Publication Year: 2011, Page(s):5 - 10
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7576 KB) | HTML iconHTML

    In surveillance videos, cues such as head or body pose provide important information for analyzing people's behavior and interactions. In this paper we propose an approach that jointly estimates body location and body pose in monocular surveillance video. Our approach is based on tracks derived by multi-object tracking. First, body pose classification is conducted using sparse representation techn... View full abstract»

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  • Gaze and body pose estimation from a distance

    Publication Year: 2011, Page(s):11 - 16
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8348 KB) | HTML iconHTML

    We present a comprehensive approach to track gaze by estimating location, body pose, and head pose direction of multiple individuals in unconstrained environments. The approach combines person detections from fixed cameras with directional face detections obtained from actively controlled pan tilt zoom (PTZ) cameras. The main contribution of this work is to estimate both body pose and head pose (g... View full abstract»

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  • Pairwise Shape configuration-based PSA for gait recognition under small viewing angle change

    Publication Year: 2011, Page(s):17 - 22
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (342 KB) | HTML iconHTML

    Two main components of Procrustes Shape Analysis (PSA) are adopted and adapted specifically to address gait recognition under small viewing angle change: 1) Procrustes Mean Shape (PMS) for gait signature description; 2) Procrustes Distance (PD) for similarity measurement. Pairwise Shape Configuration (PSC) is proposed as a shape descriptor in place of existing Centroid Shape Configuration (CSC) in... View full abstract»

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  • Learning to recognize faces from videos and weakly related information cues

    Publication Year: 2011, Page(s):23 - 28
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1912 KB) | HTML iconHTML

    Videos are often associated with additional information that could be valuable for interpretation of their content. This especially applies for the recognition of faces within video streams, where often cues such as transcripts and subtitles are available. However, this data is not completely reliable and might be ambiguously labeled. To overcome these limitations, we take advantage of semi-superv... View full abstract»

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  • Oral session 2 Object detection

    Publication Year: 2011, Page(s): 29
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  • Data driven frequency mapping for computationally scalable object detection

    Publication Year: 2011, Page(s):30 - 35
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (864 KB) | HTML iconHTML

    Nonlinear kernel Support Vector Machines achieve better generalizations, yet their training and evaluation speeds are prohibitively slow for real-time object detection tasks where the number of data points in training and the number of hypotheses to be tested in evaluation are in the order of millions. To accelerate the training and particularly testing of such nonlinear kernel machines, we map th... View full abstract»

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  • Modeling of temporarily static objects for robust abandoned object detection in urban surveillance

    Publication Year: 2011, Page(s):36 - 41
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (903 KB) | HTML iconHTML

    We propose a robust approach for abandoned object detection in urban surveillance with over thousands of cameras. For such a large-scale monitoring based on intelligent video analysis, it is critical that a system be designed with careful control of false alarms. Our approach is based on proactive modeling of temporally static objects (TSO) such as cars stopping at red light and still pedestrians ... View full abstract»

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  • A new multi-lateral filter for real-time depth enhancement

    Publication Year: 2011, Page(s):42 - 47
    Cited by:  Papers (5)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (872 KB) | HTML iconHTML

    We present an adaptive multi-lateral filter for real-time low-resolution depth map enhancement. Despite the great advantages of Time-of-Flight cameras in 3-D sensing, there are two main drawbacks that restricts their use in a wide range of applications; namely, their fairly low spatial resolution, compared to other 3-D sensing systems, and the high noise level within the depth measurements. We the... View full abstract»

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  • Poster session A

    Publication Year: 2011, Page(s): 48
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  • Stereoscopic viewing facilitates the perception of crowds

    Publication Year: 2011, Page(s):49 - 53
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (258 KB) | HTML iconHTML

    In this study the perception of crowds was investigated in urban environment. The images of crowds were viewed non-stereoscopically and stereoscopically with HMD (head-mounted display). The task of the participants was to count the number of persons in the crowds. The results clearly indicate that stereoscopic viewing enhances perception of crowds. The counting task was determined to be easiest wi... View full abstract»

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  • Robust people counting in video surveillance: Dataset and system

    Publication Year: 2011, Page(s):54 - 59
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (359 KB) | HTML iconHTML

    As an important application in civilian surveillance, pedestrian counting is challenging due to the occlusion and cluttered background. In this paper, we present an efficient people counting system based on regression and template matching. This method can effectively overcome the shortcomings of pedestrian detecting and tracking-based method and feature regression-based method. At the same time, ... View full abstract»

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  • Crowd flow estimation using multiple visual features for scenes with changing crowd densities

    Publication Year: 2011, Page(s):60 - 65
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (677 KB) | HTML iconHTML

    Crowd estimation and monitoring is an important surveillance task. We address the problem of estimating the “flow,” that is the number of persons passing a designated region in a unit time. We designate an area of the scene as a virtual trip wire and accumulate the total number of foreground pixels (in the trip wire) over a chosen time period. We show that cumulative pixel count is r... View full abstract»

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  • Real-time person counting by propagating networks flows

    Publication Year: 2011, Page(s):66 - 70
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (351 KB) | HTML iconHTML

    In this paper we present a system that tracks multiple persons by detection in real-time. We introduce a measure for similarity of detections which segments significant information from background clutter by using statistical information obtained during the learning phase of the detector. In order to track multiple persons we map the detections into flow networks utilizing this measure. A continuo... View full abstract»

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  • Complementary background models for the detection of static and moving objects in crowded environments

    Publication Year: 2011, Page(s):71 - 76
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8238 KB) | HTML iconHTML

    In this paper we propose the use of complementary background models for the detection of static and moving objects in crowded video sequences. One model is devoted to accurately detect motion, while the other aims to achieve a representation of the empty scene. The differences in foreground detection of the complementary models are used to identify new static regions. A subsequent analysis of the ... View full abstract»

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  • Multiple acoustic sources localization using incident Signal Power comparison

    Publication Year: 2011, Page(s):77 - 82
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6385 KB) | HTML iconHTML

    We present a novel approach to locate multiple acoustic sources in far-field environments, in order to solve an interesting problem in different application domain, such as: audio surveillance systems and soundscape analysis frameworks. This approach aims at finding a solution to the ambiguities in Direction Of Arrivals (DOAs) combination caused by simultaneous multiple sources. The algorithm is b... View full abstract»

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