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Human-Activity Analysis in Multimedia Data

  1. Background subtraction is a widely used operation in the video surveillance, aimed at separating the expected scene (the background) from the unexpected entities (the foreground). There are several problems re...

    Authors: Marco Cristani, Michela Farenzena, Domenico Bloisi and Vittorio Murino

    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:343057

    Content type: Review Article

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  2. We present an approach for human body parts tracking in 3D with prelearned motion models using multiple cameras. Gaussian process annealing particle filter is proposed for tracking in order to reduce the dimen...

    Authors: Leonid Raskin, Ehud Rivlin and Michael Rudzsky

    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:592081

    Content type: Research Article

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  3. Human activity analysis in an intelligent space is typically based on multimodal informational cues. Use of multiple modalities gives us a lot of advantages. But information fusion from different sources is a ...

    Authors: Shankar T. Shivappa, Bhaskar D. Rao and Mohan M. Trivedi

    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:478396

    Content type: Research Article

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  4. The current work focuses on the design and implementation of an indoor surveillance application for long-term automated analysis of human activity, in a video-assisted biomedical monitoring system. Video proce...

    Authors: C. A. Dimoulas, K. A. Avdelidis, G. M. Kalliris and G V Papanikolaou

    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:792028

    Content type: Research Article

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  5. This paper presents a moving-object segmentation algorithm using edge information as segment. The proposed method is developed to address challenges due to variations in ambient lighting and background content...

    Authors: M. Julius Hossain, M. Ali Akber Dewan and Oksam Chae

    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:743202

    Content type: Research Article

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  6. As an alternative to the tracking-based approaches that heavily depend on accurate detection of moving objects, which often fail for crowded scenarios, we present a pixelwise method that employs dual foregroun...

    Authors: Fatih Porikli, Yuri Ivanov and Tetsuji Haga

    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:197875

    Content type: Research Article

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  7. Falls are one of the most important problems for frail and elderly people living independently. Early detection of falls is vital to provide a safe and active lifestyle for elderly. Sound, passive infrared (PI...

    Authors: B. Ugur Toreyin, A. Birey Soyer, Ibrahim Onaran and E. Enis Cetin

    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:149304

    Content type: Research Article

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  8. This paper describes a flexible, cost-effective, wireless in-home activity monitoring system for assisting patients with cognitive impairments due to traumatic brain injury (TBI). The system locates the subjec...

    Authors: Nuri Firat Ince, Cheol-Hong Min, Ahmed Tewfik and David Vanderpool

    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:273130

    Content type: Research Article

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  9. This article presents a multimodal approach to head pose estimation of individuals in environments equipped with multiple cameras and microphones, such as SmartRooms or automatic video conferencing. Determinin...

    Authors: Cristian Canton-Ferrer, Carlos Segura, Josep R. Casas, Montse Pardàs and Javier Hernando

    Citation: EURASIP Journal on Advances in Signal Processing 2007 2008:276846

    Content type: Research Article

    Published on: