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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Vision And Scene Understanding (I.2.10) > Motion (I.2.10...)  
 
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  1-10 of 43 Reviews about "Motion (I.2.10...)": Date Reviewed
  A new block matching algorithm based on stochastic fractal search
Betka A., Terki N., Toumi A., Hamiane M., Ourchani A.  Applied Intelligence 49(3): 1146-1160, 2019. Type: Article

Block matching is an important technique for applications involving motion estimation, such as in video surveillance, TV broadcasting, video games, and so on. To improve the efficiency and effectiveness of block matching algorithms, the authors of...

May 8 2019
  Measuring crowd collectiveness
Zhou B., Tang X., Zhang H., Wang X.  IEEE Transactions on Pattern Analysis and Machine Intelligence 36(8): 1586-1599, 2014. Type: Article

Determination of the degree of individuals acting as a union in collective motions is an interesting research topic, while defining and quantifying such a structure and its motion is a challenging task. This paper proposes a method for such an eff...

Dec 14 2015
  HMM based soccer video event detection using enhanced mid-level semantic
Qian X., Wang H., Liu G., Hou X.  Multimedia Tools and Applications 60(1): 233-255, 2012. Type: Article

The topic of automatic tagging of movies has been attracting increasing numbers of researchers in recent years. The challenge is to make repositories of movies searchable and fully integrated with other kinds of data, and to allow online interpret...

Dec 4 2012
  Machine learning for vision-based motion analysis: theory and techniques
Wang L., Zhao G., Cheng L., Pietikäinen M.,  Springer-Verlag New York, Inc., New York, NY, 2011. 372 pp. Type: Book (978-0-857290-56-4)

The successes of the First and Second International Workshops on Machine Learning for Vision-Based Motion Analysis, which were held in 2008 and 2009, prompted this book. The book consists of four parts, and each part includes a number of freestand...

Jun 3 2011
  An eye localization, tracking and blink pattern recognition system: algorithm and evaluation
Wu J., Trivedi M.  ACM Transactions on Multimedia Computing, Communications, and Applications 6(2): 1-23, 2010. Type: Article

The identification of blink patterns can be applied in several cases, such as determining a subject’s attentiveness, drowsiness, and consciousness. Several approaches have been proposed for this purpose. They involve three key steps: eye loc...

Jul 6 2010
  Human motion: understanding, modelling, capture, and animation (Computational Imaging and Vision)
Rosenhahn B., Klette R., Metaxas D.,  Springer, 2007.Type: Book

The interest in human motion goes back very far in human history:...

Dec 8 2008
  OM-based video shot retrieval by one-to-one matching
Peng Y., Ngo C., Xiao J.  Multimedia Tools and Applications 34(2): 249-266, 2007. Type: Article

Content-based video retrieval is a very topical research field due to the huge amount of video data generated every day and available worldwide. This retrieval may be achieved using similarity between video samples--either at the shot level o...

Apr 17 2008
   Video motion analysis for the synthesis of dynamic cues and Futurist art
Collomosse J., Hall P.  Graphical Models 68(5): 402-414, 2006. Type: Article

Although the technical task of extracting rigid, jointed components from monocular image sequences has been studied extensively, the process of automatically (or semi-automatically) exaggerating the motion is much more novel. This paper examines h...

May 16 2007
  Sensing, intelligence, motion: how robots and humans move in an unstructured world
Lumelsky V.,  Wiley-Interscience, New York, NY, 2005. 456 pp. Type: Book (9780471707400)

Lumelsky considers the problem of how motion is planned by machine and biological systems. He considers this problem in isolation. That is, rather than considering the underlying mechanisms of motion, computation, and sensing, this book considers ...

May 25 2006
  Silhouette-based motion capture for interactive VR-systems including a rear projection screen: motion capture and retrieval
Thüring S., Herwig J., Schmitt A.  Computer Animation and Virtual Worlds 16(3-4): 245-257, 2005. Type: Article

The authors describe a camera-based tracking system for immersive displays where users are interacting with a virtual environment in front of a projection screen....

Apr 25 2006
 
 
 
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