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Video Analysis for Human Behavior Understanding

  1. Content type: Research Article

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:675784

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  2. Content type: Research Article

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:592960

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  3. Content type: Research Article

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:453064

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  4. Content type: Research Article

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:373941

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  5. Content type: Research Article

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:231240

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  6. Content type: Research Article

    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...

    Authors: Somayeh Danafar, Alessandro Giusti and Jürgen Schmidhuber

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:202768

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

  7. Content type: Research Article

    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 ...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:340717

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  8. Content type: Research Article

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:975291

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  9. Content type: Research Article

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:801252

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  10. Content type: Research Article

    This paper proposes a novel human motion capture method that locates human body joint position and reconstructs the human pose in 3D space from monocular images. We propose a two-stage framework including 2D a...

    Authors: Yuan-Kai Wang and Kuang-You Cheng

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:761460

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  11. Content type: Research Article

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:596842

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  12. Content type: Research Article

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:219190

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