Detecting Human Behavior Models From Multimodal Observation in a Smart Home
By Oliver Brdiczka, Matthieu Langet, Jérôme Maisonnasse, James L. Crowley. 2009
140 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Computer Vision and Pattern Recognition
In Electrical and Electronic Engineering
Citations in the corpus
- Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, background): “As an integral component of reasoning systems, approaches to construct human representations have been widely used in a variety of real-world applications, including video analysis [1], surveillance [2], robotics [3], humanmachine interaction [4], augmented and virtual reality [5], assistive living ”
- 4-dimensional local spatio-temporal features for human activity recognition (2011, methodology): “A simple technique is to apply a 3D centroid trajectory as features to identify human activities in 3D visual data, in which a human is represented as a point that indicates the 3D location of the human in the visual data [3].”