• Aucun résultat trouvé

[PDF] Top 20 Human-Object Interaction Recognition by Learning the distances between the Object and the Skeleton Joints

Has 10000 "Human-Object Interaction Recognition by Learning the distances between the Object and the Skeleton Joints" found on our website. Below are the top 20 most common "Human-Object Interaction Recognition by Learning the distances between the Object and the Skeleton Joints".

Human-Object Interaction Recognition by Learning the distances between the Object and the Skeleton Joints

Human-Object Interaction Recognition by Learning the distances between the Object and the Skeleton Joints

... reveal the relevant features for human object inter- action ...recognition. The distances between the object and the joints are selected ... Voir le document complet

7

Human object interaction recognition using rate-invariant shape analysis of inter joint distances trajectories

Human object interaction recognition using rate-invariant shape analysis of inter joint distances trajectories

... Abstract Human action recognition has emerged as one of the most challenging and active areas of research in the com- puter vision ...variation and scale variability, high ... Voir le document complet

7

Real-time human action and gesture recognition using skeleton joints information towards medical applications

Real-time human action and gesture recognition using skeleton joints information towards medical applications

... Representing skeleton joint information in an image format and utilizing it for human action detection is the most reliable and computationally powerful ...detecting human action ... Voir le document complet

110

Non-Mercer Kernels for SVM Object Recognition

Non-Mercer Kernels for SVM Object Recognition

... As the background contains edges, textures etc, many outliers points are extracted, so we enforce point repartition to be al- most ...that, the image is divided in sub-windows and a threshold on ... Voir le document complet

10

Graph Structuring of Skeleton Object for Its High-Level Exploitation

Graph Structuring of Skeleton Object for Its High-Level Exploitation

... an object by its median lines while preserving the initial image ...for the matching process, as well as medical imaging for quantification of the bone microarchitec- ...for the ... Voir le document complet

9

Improving Human-Robot Object Exchange by Online Force Classification

Improving Human-Robot Object Exchange by Online Force Classification

... second between the event happening and the reaction, with an average of ...So the choice of a one second observation window seems ...that the result does not show the ... Voir le document complet

24

Insect interaction analysis based on object detection and CNN

Insect interaction analysis based on object detection and CNN

... from the test ...be the principal predators of the prey available (weevil, larvae and ...larvae and are also defined as predators. Interactions between ants or cockroaches ... Voir le document complet

7

Human-humanoid collaborative object transportation

Human-humanoid collaborative object transportation

... However, the algorithms presented are generic enough to be tested on other collaborative carrying ...are the ideas for improvements, specific to each of the areas of our work ...For the work ... Voir le document complet

105

Automated tactile sensing for object recognition and localization

Automated tactile sensing for object recognition and localization

... Given that an object has been sensed and is one of a number of modeled objects, and given that the data obtained so far is in- sufficient for recognition and/or [r] ... Voir le document complet

147

From passive to interactive object learning and recognition through self-identification on a humanoid robot

From passive to interactive object learning and recognition through self-identification on a humanoid robot

... evolving human en- vironments, need the ability to continuously learn to rec- ognize new ...do, by observing their environment and interacting with objects, without specific ...active ... Voir le document complet

24

Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition

Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition

... demonstrate the ability of DCNNs to reach human (feed-forward vision) accuracy in invariant object ...confirms the success of these computational models to mimic the perfor- mance of ... Voir le document complet

25

Context-dependent kernel design for object matching and recognition

Context-dependent kernel design for object matching and recognition

... vectors and take the similarity as a decreasing function of any well-defined dis- tance ...variable-length and unordered data. Two families of local kernels can be found in the lit- erature; ... Voir le document complet

9

Coordination by objects, object solving problems or object, problem to solve

Coordination by objects, object solving problems or object, problem to solve

... from the discovery of pyrethrinoids to the first signs of resistance in the pear sucker and then the GAWI’s ...took the GAWI another five or six years to market the fruit ... Voir le document complet

13

Colored-Object Programming : about the Programming Activity

Colored-Object Programming : about the Programming Activity

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

38

Comets in the near-Earth object population

Comets in the near-Earth object population

... To identify potential dormant or extinct comets we characterize our objects using both dynamical and physical properties, focusing on three criteria: the Jovian Tisse[r] ... Voir le document complet

31

Object shape recognition using electric sense and ellipsoid's polarization tensor

Object shape recognition using electric sense and ellipsoid's polarization tensor

... In the field of underwater robotics, a big challenge consists in giving autonomy to robots navigating in turbid water and confined or post catastrophic ...vision and sonar are not efficient enough ... Voir le document complet

9

Reusing Motor Commands to Learn Object Interaction

Reusing Motor Commands to Learn Object Interaction

... linear, and the noise is not homogeneously distributed, making exhaustive approaches impossible, and naive ones – such as random sampling – ...Redundancy and high noise make many actions yield ... Voir le document complet

9

Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining

Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining

... if the unknown object is a keyboard, the spatial context and relatedness may result in a top suggestion of a mouse, but as the system already knows about that, it is probably a less ... Voir le document complet

10

When High Fidelity Matters: AR and VR Improve the Learning of a 3D Object

When High Fidelity Matters: AR and VR Improve the Learning of a 3D Object

... improve the learning outcome In a recent study on the effect of immersive Virtual Reality on a biochemistry science lab simulation, Makranskya et ...education and training, but there is little ... Voir le document complet

10

The Importance of Reasoning about Occlusions during Hypothesis Verification in Object Recognition

The Importance of Reasoning about Occlusions during Hypothesis Verification in Object Recognition

... Unite´ de recherche INRIA Lorraine, Technopoˆle de Nancy-Brabois, Campus scientifique, 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LE` S NANCY Unite´ de recherche INRIA Rennes, Ir[r] ... Voir le document complet

33

Show all 10000 documents...