Skeleton-based temporal segmentation of human activities from video sequences

13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS, Full Papers

Volumn , Issue , 2005, Pages 145-148

  Quirion, Sébastien ^a   Branzan Albu, Alexandra ^a   Bergevin, Robert ^a  

^a UNIVERSITÉ LAVAL   (Canada)

Author keywords

Data fusion; Motion analysis; Periodicity analysis; Signal segmentation; Video understanding

Indexed keywords

GLOBAL SET; HUMAN ACTIVITIES; MOTION ANALYSIS; MULTI-STEP; PERIODICITY ANALYSIS; PRIOR KNOWLEDGE; SIGNAL SEGMENTATION; TEMPORAL SEGMENTATIONS; VIDEO SEQUENCES; VIDEO UNDERSTANDING;

COMPUTER GRAPHICS; COMPUTER VISION; DATA FUSION; MUSCULOSKELETAL SYSTEM; VIDEO RECORDING; VISUALIZATION;

GESTURE RECOGNITION;

EID: 34548021605     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. Cutler, R. and Davis, L.S., Robust Real-Time Periodic Motion Detection, Analysis, and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, no.8, 2000, pp. 781-796
3. Polana, R. and Nelson, R., Low Level Recognition of Human Motion, IEEE Computer Science Workshop on Motion of Non-Rigid and Articulated Objects, Austin, TX, 1994, pp.77-82
4. th Conference on Vision Interface, 2003, pp. 35-42
5. Yazdi, M., Branzan-Albu, A. and Bergevin, R., Morphological Analysis of Spatio-Temporal Patterns for the Segmentation of Cyclic Human Activities, 17th International Conference on Pattern Recognition, 2004, pp. 240-243
6. Yuret, D., From Genetic Algorithms to efficient optimization, Technical Report 1569, MIT AI Laboratory, 1994