ISSN:
1573-1405
Keywords:
object recognition
;
appearance based recognition
;
statistical object representation
;
local appearance
;
real-time computer vision
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract The appearance of an object is composed of local structure. This local structure can be described and characterized by a vector of local features measured by local operators such as Gaussian derivatives or Gabor filters. This article presents a technique where appearances of objects are represented by the joint statistics of such local neighborhood operators. As such, this represents a new class of appearance based techniques for computer vision. Based on joint statistics, the paper develops techniques for the identification of multiple objects at arbitrary positions and orientations in a cluttered scene. Experiments show that these techniques can identify over 100 objects in the presence of major occlusions. Most remarkably, the techniques have low complexity and therefore run in real-time.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1008120406972
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