Using appearance and context for outdoor scene object classification

A. Bosch, X. Munoz, J. Marti
2005 IEEE International Conference on Image Processing 2005  
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
more » ... ognition 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. 0-7803-9134
doi:10.1109/icip.2005.1530281 dblp:conf/icip/BoschMM05 fatcat:3fdzkpkpbzhpdc3e2eyf64h34i