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.
翻译:人们花大量时间和精力寻找丢失的物体。为了帮助人们注意丢失物体的位置,已经开发了各种计算系统,提供其位置的信息。然而,以前协助人们查找物体的系统要求用户提前登记目标物体。这一要求给用户带来了沉重的负担,该系统无法帮助他们提醒他们意外丢失的物体。我们提议Go-Finder (“Generic 对象查找器”),这是一个不注册的可磨损相机系统,用来帮助人们根据以下两个关键特征找到任意数量的物体:自动发现手持物体和基于图像的候选选择。根据一个可磨损相机拍摄的视频,Go-Finder自动探测和组合手持物体以形成物体的视觉时间线。用户可以通过智能手机应用程序浏览时间线浏览该物体的最后外观。我们进行了一项用户研究,以调查用户如何从使用Go-Finder得到好处,并通过在物体搜索任务上提供清晰的视觉提示,确认改进了精确度并减少了对物体搜索任务的精神负荷。