Bernt Schiele and Alex Pentland
Appears in: ICCV'99
The appearance of objects consists of regions of local structure as
well as dependencies between these regions. The local structure can be
characterized by a vector of local features measured by local
operators such as Gaussian derivatives or Gabor filters. This paper
presents a technique in which the appearance of objects is represented
by the joint statistics of local neighborhood operators. A
probabilistic technique based on joint statistics is developed for the
identification of multiple objects at arbitrary positions and
orientations. Furthermore, by incorporating structural dependencies, a
procedure for probabilistic localization of objects is obtained. The
current recognition system runs at approximately 10Hz on a Silicon
O2. Experimental results are provided and an application using a head
mounted camera is described.