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Video Tracking in Complex Scenes for Surveillance Applications

  2. A new collaborative tracking approach is introduced which takes advantage of classified features. The core of this tracker is a single tracker that is able to detect occlusions and classify features contributi...

    Authors: M. Asadi, F. Monti and C. S. Regazzoni
    Citation: EURASIP Journal on Image and Video Processing 2008 2008:274349
    Content type: Research Article Published on:

  3. The paper suggests a contour-based algorithm for tracking moving objects in video. The inputs are segmented moving objects. Each segmented frame is transformed into region adjacency graphs (RAGs). The object's...

    Authors: O Miller, A Averbuch and E Navon
    Citation: EURASIP Journal on Image and Video Processing 2008 2008:328052
    Content type: Research Article Published on:

  4. We present a simplified algorithm for localizing an object using multiple visual images that are obtained from widely used digital imaging devices. We use a parallel projection model which supports both zoomin...

    Authors: Kyoung-Su Park, Jinseok Lee, Milutin Stanaćević, Sangjin Hong and We-Duke Cho
    Citation: EURASIP Journal on Image and Video Processing 2008 2008:256896
    Content type: Research Article Published on:

  5. We quantitatively compare two template-based tracking algorithms, Hager's method and the hyperplane tracker, and three histogram-based methods, the mean-shift tracker, two trust-region trackers, and the CONDEN...

    Authors: F Bajramovic, B Deutsch, Ch Gräßl and J Denzler
    Citation: EURASIP Journal on Image and Video Processing 2008 2008:528297
    Content type: Research Article Published on:

  6. Reliable and efficient tracking of objects by multiple cameras is an important and challenging problem, which finds wide-ranging application areas. Most existing systems assume that data from multiple cameras ...

    Authors: Senem Velipasalar, Jason Schlessman, Cheng-Yao Chen, WayneH Wolf and JaswinderP Singh
    Citation: EURASIP Journal on Image and Video Processing 2008 2008:542808
    Content type: Research Article Published on:

  7. Today's video surveillance systems are increasingly equipped with video content analysis for a great variety of applications. However, reliability and robustness of video content analysis algorithms remain an ...

    Authors: Axel Baumann, Marco Boltz, Julia Ebling, Matthias Koenig, HartmutS Loos, Marcel Merkel, Wolfgang Niem, JanKarl Warzelhan and Jie Yu
    Citation: EURASIP Journal on Image and Video Processing 2008 2008:824726
    Content type: Research Article Published on:

  9. This paper presents a new method to both track and segment multiple objects in videos using min-cut/max-flow optimizations. We introduce objective functions that combine low-level pixel wise measures (color, m...

    Authors: Aurélie Bugeau and Patrick Pérez
    Citation: EURASIP Journal on Image and Video Processing 2008 2008:317278
    Content type: Research Article Published on:

  10. Simultaneous tracking of multiple persons in real-world environments is an active research field and several approaches have been proposed, based on a variety of features and algorithms. Recently, there has be...

    Authors: Keni Bernardin and Rainer Stiefelhagen
    Citation: EURASIP Journal on Image and Video Processing 2008 2008:246309
    Content type: Research Article Published on: