Compositional models represent patterns with hierarchies of meaningful parts and subparts.
Their ability to characterize high-order relationships among body parts helps resolve low …

Deep supervision, or known as' intermediate supervision'or'auxiliary supervision', is to add
supervision at hidden layers of a neural network. This technique has been increasingly …

In this paper, a fully immersive serious game system that combines two Natural User
Interfaces (NUIs) and a Head Mounted Display (HMD) to provide an interactive Virtual …

Human pose estimation (HPE) from images or video is not only a major issue of computer
vision, but also it plays a vital role in many real-world applications. The most challenging …

Driver poses recognition contains three tasks such as body joint, head angle, and face
landmark estimation, which is of paramount interest for the advanced driver assistance …

Humans have an impressive ability to reliably perceive pose with semantic descriptions (eg
both arm up or left leg bent). To leverage the transitive structure characteristics for human …

Compositional models are meant for human pose estimation (HPE) due to their abilities to
capture relationships among human body parts. Deeply learned compositional model …

When observing a person's body, humans can extract the structured representation of the
body called a parse graph, which includes the hierarchical decompositions from the entire …

Anomaly Activity is predicting the body part or joint locations of a person from an image or a
video. This project will entail detecting suspicious human Activity from real-time CCTV …

Anomaly detection is finding various anomalous activities taking place in the video. Using an
unsupervised learning technique, surveillance videos identify various real-time video …