publication . Contribution for newspaper or weekly magazine . 2012

Searching for objects driven by context

Alexe, Bogdan; Heess, Nicolas; Teh, Yee Whye; Ferrari, Vittorio;
Open Access English
  • Published: 01 Dec 2012
  • Country: United Kingdom
Abstract
The dominant visual search paradigm for object class detection is sliding windows. Although simple and effective, it is also wasteful, unnatural and rigidly hardwired.We propose strategies to search for objects which intelligently explore the space of windows by making sequential observations at locations decided based on previous observations. Our strategies adapt to the class being searched and to the content of a particular test image, exploiting context as the statistical relation between the appearance of a window and its location relative to the object, as observed in the training set. In addition to being more elegant than sliding windows, we demonstrate ...
Subjects
free text keywords: object detection, object recognition
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Contribution for newspaper or weekly magazine . 2012
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