Many conventional human detection methods use features based on gradients, such as histograms of oriented gradients (HOG), but human occlusions and complex backgrounds make accurat...
Human activity analysis is an important problem in computer
vision with applications in surveillance and summarization
and indexing of consumer content. Complex human
activities...
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
d Abstract) Thibault Kruse, Alexandra Kirsch, E. Akin Sisbot, Rachid Alami A robot moving in the presence of humans is highly constrained by the dynamic environment and the need t...
Thibault Kruse, Alexandra Kirsch, Emrah Akin Sisbo...
In this paper we address the problem of human body pose estimation from still images. A multi-view set of images of a person sitting at a table is acquired and the pose estimated....