Sökning: "Human pose estimation"

Visar resultat 21 - 25 av 29 uppsatser innehållade orden Human pose estimation.

1. 21. Reinforcement learning for robotic manipulation

   Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :Isac Arnekvist; [2017]
   Nyckelord :Reinforcement Learning; Computer vision; Robotics; Pose estimation; Manipulation;

   Sammanfattning : Reinforcement learning was recently successfully used for real-world robotic manipulation tasks, without the need for human demonstration, usinga normalized advantage function-algorithm (NAF). Limitations on the shape of the advantage function however poses doubts to what kind of policies can be learned using this method. LÄS MER

3. 22. Deep Neural Networks for Dynamic Visual Data

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Maria Priisalu; [2016]
   Nyckelord :Deep Learning; Human pose estimation; Human motion estimation; 3D reconstruction; Long Short-Term Memory LSTM ; Technology and Engineering;

   Sammanfattning : Given monocular video of people performing daily tasks our objective is to estimate the 3D positions of 32 given joints associated to the human skeleton. Due to the success of deep convolutional networks in image classification, image segmentation and activity recognition we propose to estimate 3D joint positions from video using deep convolutional networks. LÄS MER

4. 23. Facial Feature Tracking and Head Pose Tracking as Input for Platform Games

   Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för kreativa teknologier

   Författare :Anders Tobias Andersson; [2016]
   Nyckelord :facial feature tracking; head pose tracking; alternative interface; real-time; hci; human computer interface;

   Sammanfattning : Modern facial feature tracking techniques can automatically extract and accurately track multiple facial landmark points from faces in video streams in real time. Facial landmark points are defined as points distributed on a face in regards to certain facial features, such as eye corners and face contour. LÄS MER

5. 24. Efficient features for representing hand shape in images : By using linear projections in the HOG feature space

   Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :PATRIK BERGGREN; [2014]
   Nyckelord :;

   Sammanfattning : This thesis explores hand pose estimation, which means mapping a 2D imageto a hand pose. Hand pose estimation has many promising applications suchas hand sign recognition, robotic learning by demonstration, and human computer interaction in general. LÄS MER

7. 25. Efficient features for representing hand shape inimages : By using linear projections in the HOG feature space

   Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :PATRIK BERGGREN; [2014]
   Nyckelord :;

   Sammanfattning : This thesis explores hand pose estimation, which means mapping a 2D image to a hand pose. Hand pose estimation has many promising applications such as hand sign recognition, robotic learning by demonstration, and human-computer-interaction in general. LÄS MER