Markerless tracking of human pose is a hard yet relevant problem. In this paper, we derive an efficient filtering algorithm for tracking human pose at 4-10 frames per second using...
Varun Ganapathi, Christian Plagemann, Sebastian Th...
The SLIF project combines text-mining and image processing to extract structured information from biomedical literature. SLIF extracts images and their captions from published pap...
Performing simple keyword-based search has long been the only way to access information. But for a truly comprehensive search on multimedia data, this approach is no longer sucien...
Background: The ability to search for and precisely compare similar phenotypic appearances within and across species has vast potential in plant science and genetic research. The ...
Jaturon Harnsomburana, Jason M. Green, Adrian S. B...
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...