Visual place recognition is a challenging problem due to the vast range of ways in which the
appearance of real-world places can vary. In recent years, improvements in visual sensing …

Online detection of changes in stochastic systems, referred to as sequential change
detection or quickest change detection, is an important research topic in statistics, signal …

Fingerspelling, in which words are signed letter by letter, is an important component of
American Sign Language. Most previous work on automatic fingerspelling recognition has …

We present PLISS (Place Labeling through Image Sequence Segmentation), a novel
technique for place recognition and categorization from visual cues. PLISS operates on …

A shared vocabulary between humans and robots for describing spatial concepts is
essential for effective human robot interaction. Towards this goal, we present a novel …

Fingerspelling detection, which aims to localize and recognize fingerspelling gestures in
raw, untrimmed videos, is a nascent but important research area that could help bridge the …

As video content is responsible for more than 70% of the global IP traffic, related resource
allocation approaches, eg, using content caching, become increasingly important. In this …

A sign language consists of two types of action; signs and fingerspellings. Signs are
dynamic gestures discriminated by continuous hand motions and hand configurations, while …

Sign language spotting is the task of detection and recognition of signs (words in the
predefined vocabulary) and fingerspellings (a combination of continuous alphabets that are …

Topological navigation consists for a robot in navigating in a topological graph which nodes
are topological places. Either for indoor or outdoor environments, segmentation into …