Vision-based motion analysis aims to detect, track and identify objects, to understand their behaviors from video sequences. This exciting research area has received growing interest in recent years due to a wide spectrum of real-world applications. Dedicated machine learning algorithms have been recently developed and successfully applied to a number of challenging problems and demonstrate strong potentials. Meanwhile, the process of improving the performance of vision systems has also brought numerous new challenges to the field of machine learning, e.g., learning from partial or limited annotations, structured prediction, manifold learning, kernel machines, and learning with very or extremely large datasets.

As a continution of MLvMA'08 and MLvMA'09, our workshop aims to solicit original research contributions that develop machine learning and motion analysis algorithms to address real-world problems. *All* relevant submissions are welcome. Additionally, This year our workshop has  a special theme on  biological and medical image analysis and modeling  in order to meet the need of emerging biological and medical image technologies. Submissions of novel approaches to meet the need of emerging biological and medical image technologies are encouraged. Topics of interest include but are not limited to a broad spectrum of problems: novel machine learning theories, new motion analysis methods, and/or new applications.


Important Dates

  • Submission deadline:           March 27, 2011
  • Notification of acceptance: April   27, 2011
  • Camera-ready due:             May      8, 2011
  • Workshop Day:                   June   25, 2011

Keynote Speakers:





Up to 8 A4 pages will be considered in the 2-column CVPR style. The initial paper must not provide names and affiliations (references to authors' previous work should be left blank). Please follow the paper submission web site at https://cmt.research.microsoft.com/MLVMA2011 to submit your manuscript. Each submission will undergo double-blind reviews for its originality, significance, clarity, soundness, relevance and technical contents. Accepted papers will be published in the workshop proceedings of CVPR 2011. After the workshop, selected high quality papers will be invited to submit in their extended forms to a journal special issue.

Camera Ready Submission

Please follow the instructions in http://web.bii.a-star.edu.sg/~chengli/MLvMA2011/camera.html, where the list of accepted papers are also shown.



Program Committee:

  • Larry Davis,         Univ. of maryland, USA
  • Greg Mori,           Simon Fraser Univ, Canada
  • Hanchuan Peng,    HHMI Janelia Farm campus, USA
  • Andrew Cohen,     Univ. of Wisconsin Milwaukee, USA
  • Badri Roysam,       Univ. of Houston, USA
  • Punam Saha,         Univ. of Iowa, USA
  • Hweekuan Lee,     A*STAR, Singapore
  • Kevin Zhou,          Siemens Corporate Research, USA
  • Shaogang Gong,    Queen Mary Univ. of London, UK
  • Atsushi Imiya,       Chiba University, Japan
  • Rainer Lienhart,    Univ. of Augsburg, Germany
  • Lei Wang,             Australia National Univ, Australia
  • Alistair Sutherland,Dublin City Univ, Ireland
  • Hongbin Zha,        Peking University, China
  • Herbert Yang,       Univ. of Alberta, Canada
  • Stefan Carlsson,    Royal Institute of Technology, Sweden
  • Mark Barnard,       Univ. of Surrey, UK
  • Jonghwa Kim,       Univ. of Augsburg, Germany
  • Shuicheng Yan,      NUS, Singapore
  • Jian Zhang,           NICTA, Australia

Previos workshops