Browsing by Author "Yang, Jie"

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Browsing by Author "Yang, Jie"

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  • Liu, Jia; Yang, Jie; Zhang, Yi; He, Sean (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 ...
  • Wu, Qiang; Zhang, Huaifeng; Jia, Wenjing; Yang, Jie; Hintz, Thomas; He, Sean (IEEE, 2006)
  • Chen, Xiaogang; Yang, Jie; Wu, Qiang; Zhao, Jiajia; He, Sean (Elsevier, The Netherlands, 2012)
    High-frequency energy distributions are important characteristics of blurry images. In this paper, directional high-pass filters are proposed to analyze blurry images. Firstly, we show that the proposed directional ...
  • 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, Xiaogang; Yang, Jie; Wu, Qiang; He, Sean (IEEE Computer Society, 2011)
    Deblurring camera-based document image is an important task in digital document processing, since it can improve both the accuracy of optical character recognition systems and the visual quality of document images. Traditional ...
  • Gong, Chen; Liu, Yang; Li, Tianyu; Yang, Jie; He, Sean (IEEE, 2012)
    Recently, object tracking has been widely studied as a binary classification problem. Semi-supervised learning is particularly suitable for improving classification accuracy when large quantities of unlabeled samples are ...
  • Du, C; Yang, Jie; Wu, Qiang; Zhang, Tianhao; Wang, H; Chen, L; Wu, Zj (Springer, 2006)
    In this study, we propose three extended fitting methods to the standard ASM(active shape model). Firstly, profiles are extended from ID to 2D; Secondly, profiles of different landmarks are constructed individually; Thirdly, ...
  • Chen, Yan; Wu, Qiang; Du, Chunhua; Yang, Jie; He, Sean (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; Du, Chunhua; Yang, Jie; He, Sean (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 ...
  • Wu, Qiang; Yang, Jie; He, Sean; Wang, William (IEEE, 2013)
    Local Binary Pattern (LBP) has been well recognised and widely used in various texture analysis applications of computer vision and image processing. It integrates properties of texture structural and statistical texture ...
  • Zeng, Chao; Jia, Wenjing; Yang, Jie; He, Sean (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 ...
  • Mudugamuwa, Damith; Ahn, Chung-Hyun; Yang, Jie; He, Sean (IEEE, 2009)
    Estimating motion between two frames of a video sequence, up to sub-pixel accuracy, is a critical task for many image processing applications. Efficient block matching algorithms were proposed for motion estimation up to ...
  • Chen, Xiaogang; Yang, Jie; Wu, Qiang (SPIE Digital Library, 2010)
    This paper proposes a new method for natural-image deblur based on a single blurred image. The natural image prior, a sparse gradient distribution, is enforced using a gradient histogram remapping method in the proposed ...
  • Du, C; Yang, Jie; Wu, Qiang; Li, Feng (Spie-Soc Photoptical Instrumentation Engineers, 2007)
    The Fisherface method suffers from the problem of using all training face images to recognize a test face image. To tackle this problem, we propose combining a novel clustering method, affinity propagation (AP), recently ...
  • Wang, William; Wu, Qiang; Jia, Wenjing; He, Sean; Yang, Jie (Springer-Verlag, 2011)
    This paper proposes an intelligent system that is capable of automiatically detecting license plates from static images captured by a digital still camera. A supervised learning apporach is used to extract features from ...
  • 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; Zhang, Tianhao; Yu, Shengyang (SPIE-Soc Photoptical Instrumentation Engineers, 2008)
    This letter develops a novel and fast framework called APLPP to tackle the face recognition task by combining locality preserving projections (LPP) with the affinity propagation clustering method. Unlike LPP, which uses ...
  • Du, Chunhua; Yang, Jie; Wu, Qiang; He, Sean (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 ...
  • Dong, Xiaojie; Liu, Erqi; Yang, Jie; Wu, Qiang (KSII-Kor Soc Internet Information, 2013)
    An affine invariant descriptor is proposed, which is able to well represent the affine covariant regions. Estimating main orientation is still problematic in many existing method, such as SIFT (scale invariant feature ...