%0 Conference Paper %1 Kummert1998 %A Kummert, F. %A Fink, G.A. %A Sagerer, G. %A Braun, E. %B Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on %D 1998 %K Markov formalisms, hidden image models, nets, network networks, neural object probabilistic probability, recognition, semantic sequences, %P 1165--1170 vol.2 %T Hybrid object recognition in image sequences %V 2 %X We present a hybrid approach attaching probabilistic formalisms, as artificial neural networks or hidden Markov models, to concepts of a semantic network for a robust and efficient detection of objects. Additionally, an efficient processing strategy for image sequences is outlined which propagates the structural results of the semantic network as an expectation for the next image. This method allows one to produce linked results over time supporting the recognition of events and actions

@inproceedings{Kummert1998, abstract = {We present a hybrid approach attaching probabilistic formalisms, as artificial neural networks or hidden Markov models, to concepts of a semantic network for a robust and efficient detection of objects. Additionally, an efficient processing strategy for image sequences is outlined which propagates the structural results of the semantic network as an expectation for the next image. This method allows one to produce linked results over time supporting the recognition of events and actions}, added-at = {2009-09-12T19:19:34.000+0200}, author = {Kummert, F. and Fink, G.A. and Sagerer, G. and Braun, E.}, biburl = {https://www.bibsonomy.org/bibtex/268d424b0fcd6f2bfb5488040118618b9/mozaher}, booktitle = {Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on}, file = {00711903.pdf:Kummert1998.pdf:PDF}, interhash = {375448f8d98a506a2c980b6364827699}, intrahash = {68d424b0fcd6f2bfb5488040118618b9}, keywords = {Markov formalisms, hidden image models, nets, network networks, neural object probabilistic probability, recognition, semantic sequences,}, owner = {mozaher}, pages = {1165--1170 vol.2}, timestamp = {2009-09-12T19:19:40.000+0200}, title = {Hybrid object recognition in image sequences}, volume = 2, year = 1998 }