English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Video object segmentation is a challenging problem due to the presence ofdeformable, connected, and articulated objects, intra- and inter-objectocclusions, object motion, and poor lighting. Some of these challenges call forobject models that can locate a desired object and separate it from itssurrounding background, even when both share similar colors and textures. Inthis work, we extend a fuzzy object model, named cloud system model (CSM), tohandle video segmentation, and evaluate it for body pose estimation of toddlersat risk of autism. CSM has been successfully used to model the parts of thebrain (cerebrum, left and right brain hemispheres, and cerebellum) in order toautomatically locate and separate them from each other, the connected brainstem, and the background in 3D MR-images. In our case, the objects arearticulated parts (2D projections) of the human body, which can deform, causeself-occlusions, and move along the video. The proposed CSM extension handlesarticulation by connecting the individual clouds, body parts, of the systemusing a 2D stickman model. The stickman representation naturally allows us toextract 2D body pose measures of arm asymmetry patterns during unsupported gaitof toddlers, a possible behavioral marker of autism. The results show that ourmethod can provide insightful knowledge to assist the specialist's observationsduring real in-clinic assessments.

Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies