Subobject Detection through Spatial Relationships on Mobile Phones

We present a novel image classification technique for detecting
multiple objects (called subobjects) in a single image. In
addition to image classifiers, we apply spatial relationships
among the subobjects to verify and to predict the locations of
detected and undetected subobjects, respectively. By continuously
refining the spatial relationships throughout the detection
process, even locations of completely occluded exhibits
can be determined. This approach is applied in the
context of PhoneGuide, an adaptive museum guidance system
for camera-equipped mobile phones.
Laboratory tests as well as a field experiment reveal recognition
rates and performance improvements when compared
to related approaches.

Category:

Science & Technology

Tags:

• PhoneGuide
• subobject detection
• museum guidance
• mobile phone
• object recognition