A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Surveillance system involving hundreds of cameras becomes very popular. Due to various positions and orientations of camera, object appearance changes dramatically in different scenes. Traditional appearance based object classification methods tend to fail under these situations. We approach the problem by designing an adaptive object classification framework which automatically adjust to different scenes. Firstly, a baseline object classifier is applied to specific scene, generating trainingdoi:10.1109/cvprw.2009.5204272 dblp:conf/cvpr/SangLLL09 fatcat:6i7r2iap6zhtpeufdk4de7s5r4