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Video Analysis for Human Behavior Understanding

  1. Research Article

    Localized Detection of Abandoned Luggage

    Abandoned luggage represents a potential threat to public safety. Identifying objects as luggage, identifying the owners of such objects, and identifying whether owners have left luggage behind are the three m...

    Jing-Ying Chang, Huei-Hung Liao and Liang-Gee Chen

    EURASIP Journal on Advances in Signal Processing 2010 2010:675784

    Published on: 29 June 2010

  2. Research Article

    A Hierarchical Estimator for Object Tracking

    A closed-loop local-global integrated hierarchical estimator (CLGIHE) approach for object tracking using multiple cameras is proposed. The Kalman filter is used in both the local and global estimates. In contr...

    Chin-Wen Wu, Yi-Nung Chung and Pau-Choo Chung

    EURASIP Journal on Advances in Signal Processing 2010 2010:592960

    Published on: 10 June 2010

  3. Research Article

    Recognizing Human Actions Using NWFE-Based Histogram Vectors

    This study presents a novel system for human action recognition. Two research issues, namely, motion representation and subspace learning, are addressed. In order to have a rich motion descriptor, we propose t...

    Cheng-Hsien Lin, Fu-Song Hsu and Wei-Yang Lin

    EURASIP Journal on Advances in Signal Processing 2010 2010:453064

    Published on: 8 June 2010

  4. Research Article

    A Method for Counting Moving People in Video Surveillance Videos

    People counting is an important problem in video surveillance applications. This problem has been faced either by trying to detect people in the scene and then counting them or by establishing a mapping betwee...

    Donatello Conte, Pasquale Foggia, Gennaro Percannella, Francesco Tufano and Mario Vento

    EURASIP Journal on Advances in Signal Processing 2010 2010:231240

    Published on: 7 June 2010

  5. Research Article

    An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes

    Foreground detection is an important preliminary step of many video analysis systems. Many algorithms have been proposed in the last years, but there is not yet a consensus on which approach is the most effect...

    Donatello Conte, Pasquale Foggia, Gennaro Percannella, Francesco Tufano and Mario Vento

    EURASIP Journal on Advances in Signal Processing 2010 2010:373941

    Published on: 7 June 2010

  6. Research Article

    Novel Kernel-Based Recognizers of Human Actions

    We study unsupervised and supervised recognition of human actions in video sequences. The videos are represented by probability distributions and then meaningfully compared in a probabilistic framework. We int...

    Somayeh Danafar, Alessandro Giusti and Jürgen Schmidhuber

    EURASIP Journal on Advances in Signal Processing 2010 2010:202768

    Published on: 16 May 2010

    The Erratum to this article has been published in EURASIP Journal on Advances in Signal Processing 2012 2012:124

  7. Research Article

    Automatic Moving Object Segmentation from Video Sequences Using Alternate Flashing System

    A novel algorithm to extract moving objects from video sequences is proposed in this paper. The proposed algorithm employs a flashing system to obtain an alternate series of lit and unlit frames from a single ...

    Jae-Kyun Ahn, Dae-Yeon Lee, Chul Lee (EURASIP Member) and Chang-Su Kim (EURASIP Member)

    EURASIP Journal on Advances in Signal Processing 2010 2010:340717

    Published on: 10 May 2010

  8. Research Article

    Efficient Human Action and Gait Analysis Using Multiresolution Motion Energy Histogram

    Average Motion Energy (AME) image is a good way to describe human motions. However, it has to face the computation efficiency problem with the increasing number of database templates. In this paper, we propose...

    Chih-Chang Yu, Hsu-Yung Cheng, Chien-Hung Cheng and Kuo-Chin Fan

    EURASIP Journal on Advances in Signal Processing 2010 2010:975291

    Published on: 28 April 2010

  9. Research Article

    Robust Recognition of Specific Human Behaviors in Crowded Surveillance Video Sequences

    We describe a method that can detect specific human behaviors even in crowded surveillance video scenes. Our developed system recognizes specific behaviors based on the trajectories created by detecting and tr...

    Masaki Takahashi, Mahito Fujii, Masahiro Shibata and Shin'ichi Satoh

    EURASIP Journal on Advances in Signal Processing 2010 2010:801252

    Published on: 26 April 2010

  10. Research Article

    Facial Affect Recognition Using Regularized Discriminant Analysis-Based Algorithms

    This paper presents a novel and effective method for facial expression recognition including happiness, disgust, fear, anger, sadness, surprise, and neutral state. The proposed method utilizes a regularized di...

    Chien-Cheng Lee, Shin-Sheng Huang and Cheng-Yuan Shih

    EURASIP Journal on Advances in Signal Processing 2010 2010:596842

    Published on: 15 April 2010

  11. Research Article

    Human Action Recognition Using Ordinal Measure of Accumulated Motion

    This paper presents a method for recognizing human actions from a single query action video. We propose an action recognition scheme based on the ordinal measure of accumulated motion, which is robust to varia...

    Wonjun Kim, Jaeho Lee, Minjin Kim, Daeyoung Oh and Changick Kim

    EURASIP Journal on Advances in Signal Processing 2010 2010:219190

    Published on: 12 April 2010

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