Browsing by Author "Xu Yi Da"

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Browsing by Author "Xu Yi Da"

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  • Zare Borzeshi Ehsan; Xu Yi Da; Piccardi Massimo (Springer-Verlag, 2011)
    The problem of human action recognition has received increasing attention in recent years for its importance in many applications. Yet, the main limitation of current approaches is that they do not capture well the spatial ...
  • Concha Oscar; Xu Yi Da; Piccardi Massimo (IEEE Computer Society, 2010)
    Compressive Sensing (CS) is an emerging signal processing technique where a sparse signal is reconstructed from a small set of random projections. In the recent literature, CS techniques have demonstrated promising results ...
  • Zare Borzeshi Ehsan; Piccardi Massimo; Xu Yi Da (IEEE Computer Society, 2011)
    This paper proposes a novel graph-based method for representing a human's shape during the performance of an action. Despite their strong representational power, graphs are computationally cumbersome for pattern analysis. ...
  • Xu Yi Da; Kemp Mc (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    In this paper, we seek to fit a model, specified in terms of connected ellipses, to an image silhouette. Some algorithms that have attempted this problem are sensitive to initial guesses and also may converge to a wrong ...
  • Concha Oscar; Xu Yi Da; Piccardi Massimo; Moghaddam Zia (IEEE Computer Society, 2011)
    Generative models can be flexibly employed in a variety of tasks such as classification, detection and segmen- tation thanks to their explicit modelling of likelihood functions. However, likelihood functions are hard to ...
  • Xu Yi Da; Kemp Michael (Elsevier, 2010)
    In many image processing applications, the structures conveyed in the image contour can often be described by a set of connected ellipses. Previous fitting methods to align the connected ellipse structure with a contour, ...
  • Xu Yi Da; Allen John; Jin Jesse S (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2005)
    We use SIMD instructions to implement a popular video object-tracking algorithm in an attempt to achieve the best possible performance on the available hardware. We start with an implementation of the well-known mean ...
  • Concha Oscar; Xu Yi Da; Piccardi Massimo (IEEE Computer Society, 2010)
    Human action recognition can be approached by combining an action-discriminative feature set with a classifier. However, the dimensionality of typical feature sets joint with that of the time dimension often leads to a ...
  • Allen John; Xu Yi Da; Jin Jesse S (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2004)
    We propose a novel adaptive approach for object tracking using fast colour thresholding and region merging. It proves to be an effective measure against large variations between consecutive frames during a mean-shift ...
  • Xu Yi Da; Jin Jesse S (Springer-Verlag, 2005)
    In recent times, there are increasing numbers of computer vision and pattern recognition (CVPR) technologies being applied to real time video processing using single processor PCs. However, these multiple computational ...
  • Jin Jesse S; Xu Yi Da; Allen John (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2005)
    We propose a novel framework that employs correlated digital video and audio watermarking where the watermarking sequence contains video interaction information and media features as a basis towards constructing a ...