Browsing by Author "Otoom, Ahmed"

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Browsing by Author "Otoom, Ahmed"

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  • Otoom, Ahmed; Gunes, Hatice; Piccardi, Massimo (IEEE, 2008)
    One of the core components of any visual surveillance system is object classification, where detected objects are classified into different categories of interest. Although in airports or train stations, abandoned objects ...
  • Otoom, Ahmed; Gunes, Hatice; Piccardi, Massimo (IEEE, 2008)
    Accurate classification of abandoned objects is crucial in video surveillance systems. In this paper, we experiment with different validation techniques (hold-out and 10-fold cross validation), with the aim of determining ...
  • Otoom, Ahmed; Gunes, Hatice; Piccardi, Massimo (IEEE, 2008)
    We address the problem of abandoned object classification in video surveillance. Our aim is to determine (i) which feature extraction technique proves more useful for accurate object classification in a video surveillance ...
  • Piccardi, Massimo; Gunes, Hatice; Otoom, Ahmed (IEEE, 2008)
    Accurate classification of objects of interest for video surveillance is difficult due to occlusions, deformations and variable views/illumination. The adopted feature sets tend to overcome these issues by including many ...
  • Otoom, Ahmed; Concha, Oscar; Piccardi, Massimo (Institute for Systems and Technologies of Information, Control and Communication, 2010)
    High dimensional spaces pose a serious challenge to the learning process. It is a combination of limited number of samples and high dimensions that positions many problems under the a??curse of dimensionalitya? , which ...
  • Otoom, Ahmed; Concha, Oscar; Gunes, Hatice; Piccardi, Massimo (Springer, 2009)
    High dimensional spaces pose a challenge to any classification task. In fact, these spaces contain much redundancy and it becomes crucial to reduce the dimensionality of the data to improve analysis, density modeling, and ...
  • Otoom, Ahmed; Gunes, Hatice; Concha, Oscar; Piccardi, Massimo (Springer U K, 2011)
    The curse of dimensionality hinders the effectiveness of density estimation in high dimensional spaces. Many techniques have been proposed in the past to discover embedded, locally linear manifolds of lower dimensionality, ...
  • Otoom, Ahmed; Gunes, Hatice; Piccardi, Massimo (National Cheng Kung University, 2007)
    One of the core components of any visual surveillance system is object classification, where detected objects are classified into different categories of interest. Although in airports or train stations, abandoned objects ...