Browsing 08 Information and Computing Sciences by Author "Yang Jie"

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Browsing 08 Information and Computing Sciences by Author "Yang Jie"

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  • Liu Jia; Yang Jie; Zhang Yi; He Xiangjian (IEEE Computer Society, 2010)
    In this paper we propose a novel framework for action recognition based on multiple features for improve action recognition in videos. The fusion of multiple features is important for recognizing actions as often a single ...
  • Jia Wenjing; He Xiangjian; Wu Qiang; Yang Jie; Hintz Thomas; Zhang Huaifeng (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    Car plate detection is a key component in automatic license plate recognition system. This paper adopts an enhanced cascaded tree style learner framework for car plate detection using the hybrid object features including ...
  • Zhang Tinhao; Tao Dacheng; Yang Jie (Springer, 2008)
    Fisher's linear discriminant analysis (LDA), one of the most popular dimensionality reduction algorithms for classification, has three particular problems: it fails to find the nonlinear structure hidden in the high ...
  • Zhang Tianhao; Huang Kaiqi; Li Xuelong; Yang Jie; Tao Dacheng (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    Orthogonal neighborhood-preserving projection (ONPP) is a recently developed orthogonal linear algorithm for overcoming the out-of-sample problem existing in the well-known manifold learning algorithm, i.e., locally linear ...
  • Chen Yan; Wu Qiang; He Xiangjian; Du Chunhua; Yang Jie (IEEE, 2008)
    Human key posture extraction from videos will benefit video storage, video retrieval, human action recognition, human behaviour understanding and so on. This paper presents an approach to select key postures from human ...
  • Chen Yan; Wu Qiang; He Xiangjian; Du Chunhua; Yang Jie (IEEE, 2008)
    Human key posture extraction will benefit for human action recognition, human action retrieval, human behaviour understanding and so on. This paper proposes an approach to select key postures from a human action video based ...
  • Zeng Chao; Jia Wenjing; He Xiangjian; Yang Jie (IEEE Computer Society, 2010)
    This paper proposes a graph-based method for segmentation of a text image using a selected colour-channel image. The text colour information usually presents a twopolarity trend. According to the observation that the ...
  • Yang Jie; Mudugamuwa Damith; Ahn Chung-Hyun; He Xiangjian (IEEE, 2009)
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  • Zhang Tianhao; Li Xuelong; Tao Dacheng; Yang Jie (World Scientific Publ Co Pte Ltd, 2008)
    Manifold learning has been demonstrated as an effective way to represent intrinsic geometrical structure of samples. In this paper, a new manifold learning approach, named Local Coordinates Alignment (LCA), is developed ...
  • Du Chunhua; Yang Jie; Wu Qiang; He Xiangjian (Inderscience Enterprises Limited, 2011)
    Active shape model (ASM) plays an important role in face research such as face recognition, pose estimation and gaze estimation. A crucial step of the common ASM is finding a new position for each facial landmark at each ...
  • Chen Xiaogang; Yang Jie; Wu Qiang; Zhao Jiajia (IEEE Computer Society, 2010)
    Motion blur detection and the relevant blurring parameter estimation are important for many computer vision tasks. The contribution of this paper is in two folds. First, we propose a closed-form solution for motion direction ...
  • Zhang Tianhao; Li Xuelong; Tao Dacheng; Yang Jie (Elsevier Sci Ltd, 2008)
    Multimodal biometric system utilizes two or more individual modalities, e.g., face, gait, and fingerprint, to improve the recognition accuracy of conventional unimodal methods. However, existing multimodal biometric methods ...
  • Zhang Tianhao; Tao Dacheng; Li Xuelong; Yang Jie (IEEE Computer Soc, 2009)
    Spectral analysis-based dimensionality reduction algorithms are important and have been popularly applied in data mining and computer vision applications. To date many algorithms have been developed, e. g., principal ...
  • Wu Qiang; Du Chunhua; Yang Jie; He Xiangjian; Chen Yan (IEEE, 2008)
    A novel approach for walking people detection is proposed in this paper, which is inspired by the idea of gait energy image (GEI). Unlike most of common human detection methods where usually a trained detector scans a ...
  • Zhu Lin; Cao Longbing; Yang Jie (IEEE, 2011)
    In this paper, two novel soft subspace clustering algorithms, namely fuzzy weighting subspace clustering with competitive agglomeration (FWSCA) and entropy weighting subspace clustering with competitive agglomeration ...
  • Du Chunhua; Wu Qiang; Yang Jie; He Xiangjian; Chen Yan (IEEE, 2008)
    This paper proposes a new human action recognition method which deals with recognition task in a quite different way when compared with traditional methods which use sequence matching scheme. Our method compresses a sequence ...
  • Du Chunhua; Wu Qiang; Yang Jie; Wu Zheng (IEEE, 2008)
    Finding a new position for each landmark is a crucial step in active shape model (ASM). Mahalanobis distance minimization is used for this finding, provided there are enough training data such that the grey-level profiles ...
  • Li Yin; Zhou Yue; Yan Junchi; Yang Jie; He Xiangjian (IEEE Computer Society, 2010)
    The multi channel image or the video clip has the natural form of tensor. The value of the tensor can be corrupted due to noise in acquisition process. We consider the problem of recovering a tensor L of visual data from ...