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    PR
    2008
    239views more  PR 2008»
    A real-time object detecting and tracking system for outdoor night surveillance
    13 years 8 months ago
    A real-time object detecting and tracking system for outdoor night surveillance
    Download  www.nlpr.ia.ac.cn
    Autonomous video surveillance and monitoring has a rich history. Many deployed systems are able to reliably track human motion in indoor and controlled outdoor environments. Howev...
    Kaiqi Huang, Liangsheng Wang, Tieniu Tan, Stephen ...
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    TCSV
    2008
    291views more  TCSV 2008»
    A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
    13 years 8 months ago
    A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
    Download  www.irisa.fr
    Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
    Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
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    COLING
    2002
    194views Computational Linguistics» more  COLING 2002»
    Learning Verb Argument Structure from Minimally Annotated Corpora
    13 years 8 months ago
    Learning Verb Argument Structure from Minimally Annotated Corpora
    Download  acl.ldc.upenn.edu
    In this paper we investigate the task of automatically identifying the correct argument structure for a set of verbs. The argument structure of a verb allows us to predict the rel...
    Anoop Sarkar, Woottiporn Tripasai
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    PAMI
    2007
    169views more  PAMI 2007»
    Estimating Optimal Parameters for MRF Stereo from a Single Image Pair
    13 years 8 months ago
    Estimating Optimal Parameters for MRF Stereo from a Single Image Pair
    Download  grail.cs.washington.edu
    —This paper presents a novel approach for estimating the parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterio...
    Li Zhang, Steven M. Seitz
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    RAS
    2008
    139views more  RAS 2008»
    Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
    13 years 8 months ago
    Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
    Download  www2.ing.puc.cl
    In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
    Pablo Espinace, Daniel Langdon, Alvaro Soto
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