Learning motion trajectories via self-organization

Proceedings - International Conference on Pattern Recognition

Volumn 2, Issue , 1994, Pages 554-556

  Heikkonen, J ^a   Koikkalainen, P ^a   Schnorr C ^b  

^a LAPPEENRANTA UNIVERSITY OF TECHNOLOGY   (Finland)

^b UNIVERSITY OF HAMBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONFORMAL MAPPING; SELF ORGANIZING MAPS;

MOTION REPRESENTATION; MOTION TRAJECTORIES; OBJECT MOVEMENTS; SELF ORGANIZATIONS; SPATIO TEMPORAL FEATURES; TRAFFIC SCENE;

PATTERN RECOGNITION;

EID: 0012752254     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. Heikkonen, J., Subsymbolic Representations, Self-Organizing Maps, and Object Motion Learning, Dr. Tech. thesis, Lappeenranta University of Technology, Finland, 1994.
3. Kohonen, T., Self-Organization and Associative Memory, Springer-Verlag, Berlin, Heidelberg, 1989.
4. Koikkalainen, P., Oja, E., "Self-Organizing Hierarchical Feature Maps," In: Proc. IJCNN-90, San Diego, CA, 279-284, 1990.
5. Lampinen, J., "Feature Extractor Giving Distortion Invariant Hierarchical Feature Space," In: Rogers, S.K., Ed., Applications of Artificial Neural Networks II, Proc. SPIE 1469, 832-842, 1991.
6. Mohnhaupt, M., Neumann, B., "Understanding Object Motion: Recognition, Learning and Spatiotemporal Reasoning," Robotics and Autonomous Systems, 8, 65-91, 1991.
7. Schnörr, C., "On Functional with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow," IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(10), 1074-1079, 1993.