Browsing Conference Papers by Author "Zhang, Jian"

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Browsing Conference Papers by Author "Zhang, Jian"

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  • Zhang, Jian; Liu, Xianghang (IEEE, 2011)
    This paper presents an active learning approach for recognizing human actions in videos based on multiple kernel combined method. We design the classifier based on Multiple Kernel Learning (MKL) through Gaussian Processes ...
  • Kusakunniran, Worapan; Satoh, Shinichi; Zhang, Jian; Wu, Qiang (IEEE, 2013)
    Scalability to large numbers of classes is an important challenge for multi-class classification. It can often be computationally infeasible at test phase when class prediction is performed by using every possible classifier ...
  • Kusakunniran, Worapan; Wu, Qiang; Li, Hongdong; Zhang, Jian (IEEE Computer Society, 2009)
    Human identification by recognizing the spontaneous gait recorded in real-world setting is a tough and not yet fully resolved problem in biometrics research. Several issues have contributed to the difficulties of this task. ...
  • Paisitkriangkrai, S; Shen, C; Zhang, Jian (NA, 2011)
    There is an abundant literature on face detection due to its important role in many vision applications. Since Viola and Jones proposed the first real-time AdaBoost based face detector, Haar-like features have been adopted ...
  • Li, Zelin; Zhang, Jian; Wu, Qiang; Geers, Glen (IEEE Computer Society, 2010)
    Feature enhancement in an image is to reinforce some exacted features so that it can be used for object classification and detection. As the thermal image is lack of texture and colorful information, the techniques for ...
  • Kusakunniran, Worapan; Wu, Qiang; Li, Hongdong; Zhang, Jian (IEEE, 2009)
    Gait is one of well recognized biometrics that has been widely used for human identification. However, the current gait recognition might have difficulties due to viewing angle being changed. This is because the viewing ...
  • Kusakunniran, Worapan; Wu, Qiang; Zhang, Jian; Li, Hongdong (IEEE Computer Society, 2010)
    It has been shown that gait is an efficient biometric feature for identifying a person at a distance. However, it is a challenging problem to obtain reliable gait feature when viewing angle changes because the body appearance ...
  • Wang, Shu; Zhang, Jian; Miao, Zhenjiang (Piscataway, NJ, 2013)
    In this work, we introduce a new edge feature to improve the head-shoulder detection performance. Since Head-shoulder detection is much vulnerable to vague contour, our new edge feature is designed to extract and enhance ...
  • Kusakunniran, Worapan; Wu, Qiang; Zhang, Jian; Li, Hongdong (IEEE, 2011)
    Two main components of Procrustes Shape Analysis (PSA) are adopted and adapted specifically to address gait recognition under small viewing angle change: 1) Procrustes Mean Shape (PMS) for gait signature description; 2) ...
  • Wang, Shu; Miao, Zhenjiang; Zhang, Jian (IEEE, 2013)
    We present a framework to simultaneously detect and segment pedestrian in images. Our work is based on part-based method. We first segment the image into superpixels, then assemble superpixels into body part candidates by ...
  • Li, Zelin; Wu, Qiang; Zhang, Jian; Geers, Glenn (IEEE, 2011)
    Pedestrian detection in a thermal image is a difficult task due to intrinsic challenges:1) low image resolution, 2) thermal noising, 3) polarity changes, 4) lack of color, texture or depth information. To address these ...
  • Kusakunniran, Worapan; Wu, Qiang; Zhang, Jian; Li, Hongdong (IEEE, 2011)
    Walking speed change is considered a typical challenge hindering reliable human gait recognition. This paper proposes a novel method to extract speed-invariant gait feature based on Procrustes Shape Analysis (PSA). Two ...
  • Quek, Alyssa; Wang, Zhiyong; Zhang, Jian; Feng, David Dagan (IEEE, 2011)
    Many approaches to image classification tend to transform an image into an unstructured set of numeric feature vectors obtained globally and/or locally, and as a result lose important relational information between regions. ...
  • Kusakunniran, Worapan; Wu, Qiang; Zhang, Jian; Li, Hongdong (IEEE Computer Society, 2010)
    Gait is a well recognized biometric feature that is used to identify a human at a distance. However, in real environment, appearance changes of individuals due to viewing angle changes cause many difficulties for gait ...
  • Xu, Jingsong; Wu, Qiang; Zhang, Jian; Shen, Fumin; Tang, Zhenmin (IEEE, 2013)
    Boosting algorithms have attracted great attention since the first real-time face detector by Viola & Jones through feature selection and strong classifier learning simultaneously. On the other hand, researchers have ...
  • Shen, Yuan; Miao, Zhenjiang; Zhang, Jian (IEEE, 2012)
    In this paper, we propose a novel unsupervised online learning trajectory analysis method based on weighted directed graph. Each trajectory can be represented as a sequence of key points. In the training stage, ...