%0 Conference Paper %1 Bosch2005 %A Bosch, A. %A Munoz, X. %A Marti, J. %B Image Processing, 2005. ICIP 2005. IEEE International Conference on %D 2005 %K analysis, classification, context generation image initial object outdoor pixel-level probabilistic probability, recognition, region scene segmentation, %P II--1218-21 %T Using appearance and context for outdoor scene object classification %V 2 %X We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal.

@inproceedings{Bosch2005, abstract = {We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal.}, added-at = {2009-09-12T19:19:34.000+0200}, author = {Bosch, A. and Munoz, X. and Marti, J.}, biburl = {https://www.bibsonomy.org/bibtex/292b0aadcbc4c17d11732ac357cc3c384/mozaher}, booktitle = {Image Processing, 2005. ICIP 2005. IEEE International Conference on}, file = {icip05.pdf:Bosch2005.pdf:PDF}, interhash = {8977e31d37a8df4bb89b65148f9b3f67}, intrahash = {92b0aadcbc4c17d11732ac357cc3c384}, keywords = {analysis, classification, context generation image initial object outdoor pixel-level probabilistic probability, recognition, region scene segmentation,}, owner = {mozaher}, pages = {II--1218-21}, timestamp = {2009-09-12T19:19:37.000+0200}, title = {Using appearance and context for outdoor scene object classification}, volume = 2, year = 2005 }