CALL FOR PAPERS

Special Session on
Human Motion: Acquisition, Processing, Analysis, Synthesis and Visualization for Massive Datasets (HMMD 2014)
in conjunction with
The 6^th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2014)

Time: April 7 - 9, 2014, Bangkok, Thailand

Website: http://www.ic.kmitl.ac.th/aciids2014/hm2014.html

1. Organizers

• Konrad Wojciechowski (Polish-Japanese Institute of Information Technology)
• Marek Kulbacki (Polish-Japanese Institute of Information Technology)
• Jakub Segen (Gest3D, USA)

2. Introduction/Call for Contributed Papers

Analysis and synthesis of human motion requires massive amounts of heterogeneous, structured and unstructured human motion data. Intelligent algorithms are needed to acquire, manage and process vast various collections of multimodal motion data (motion capture, video, EMG, GRF, point cloud) to retrieve and visualize information in relevant form in response to semantic queries.

The Special Session on Human Motion brings together researchers working across this field. This also provides an excellent opportunity to advertise “in progress” or recently published work, and to obtain feedback via discussion with other researchers.

The papers should present original and unpublished research. The special session proceeding is planned to be published and distributed by Springer in series LNCS/LNAI. Submitted papers for Special Session on Human Motion should be prepared in LNCS/LNAI style. For more detail information, please take a look at the main conference website:

http://www.ic.kmitl.ac.th/aciids2014/PaperSubmission.html

3. Indicative Topics/Areas

• Data Acquisition. Measuring technics and systems. Indoor outdoor human motion data acquisition. Motion Capture and alternative technologies. Human motion representations and formats. Human motion datasets. Assets of selected activities.
• Data Processing. Tracking, Estimation, Reconstruction of body segments and joints. Denoising and filtering. Gap filling. Smoothing and interpolating.
• Segmentation. Machine learning and classification. Features extraction and selection. Dimensionality reduction. Multiresolution analysis, wavelet approach. Manifold learning.
• Human Motion representation and recognition. Gait recognition. Retargeting. Physics based synthesis.
• Software for processing, analysis and visualization of human motion.
• Industrial applications.

4. Program Committee

• Aldona Drabik, Polish-Japanese Institute of Information Technology, Poland
• André Gagalowicz, INRIA, France
• Ryszard Klempous, Wroclaw University of Technology, Poland
• Ryszard Kozera, Warsaw University of Life Science, Poland
• Marek Kulbacki, Polish-Japanese Institute of Information Technology, Poland
• Aleksander Nawrat, Silesian University of Technology, Poland
• Lyle Noaks, The University of Western Australia, Australia
• Jerzy Paweł Nowacki, Polish-Japanese Institute of Information Technology, Poland
• Andrzej Polański, Polish-Japanese Institute of Information Technology, Poland
• Andrzej Przybyszewski, University of Massechusetts, USA
• Eric Petajan, LiveClips, USA
• Jerzy Rozenbilt, University of Arizona, Tucson, USA
• Jakub Segen, Gest3D, USA
• Aleksander Sieroń, Medical University of Silesia, Poland
• Konrad Wojciechowski, Polish-Japanese Institute of Information Technology, Poland