  People spend an enormous amount of time and effort looking for lost objects.
To help remind people of the location of lost objects, various computational
systems that provide information on their locations have been developed.
However, prior systems for assisting people in finding objects require users to
register the target objects in advance. This requirement imposes a cumbersome
burden on the users, and the system cannot help remind them of unexpectedly
lost objects. We propose GO-Finder ("Generic Object Finder"), a
registration-free wearable camera based system for assisting people in finding
an arbitrary number of objects based on two key features: automatic discovery
of hand-held objects and image-based candidate selection. Given a video taken
from a wearable camera, Go-Finder automatically detects and groups hand-held
objects to form a visual timeline of the objects. Users can retrieve the last
appearance of the object by browsing the timeline through a smartphone app. We
conducted a user study to investigate how users benefit from using GO-Finder
and confirmed improved accuracy and reduced mental load regarding the object
search task by providing clear visual cues on object locations.
