Online optical marker-based hand tracking with deep labels
نویسندگان
چکیده
منابع مشابه
Marker Based Infrared Optical Tracking
This diploma thesis investigates the implementation of a low cost marker based infrared optical tracking system using commodity hardware. The focus is on software/algorithms. An introduction to marker based optical tracking is given, the theoretical foundations of the single componetns of such a system are covered and a software framework and single components are implemented and evaluated. Cri...
متن کاملGenerating optimized marker-based rigid bodies for optical tracking systems
Marker-based optical tracking systems are often used to track objects that are equipped with a certain number of passive or active point markers. Fixed configurations of these markers, so-called rigid bodies, can be detected by, for example, infrared stereo-based camera systems, and their position and orientation can be reconstructed by corresponding tracking algorithms. The main issue in desig...
متن کاملPredicting and Estimating Accuracy of Marker-Based Optical Tracking Systems
Marker-based optical tracking systems are widely used in augmented reality, medical navigation and industrial applications. We propose a model for the prediction of the target registration error (TRE) in these kinds of tracking systems by estimating the fiducial location error (FLE) from twodimensional errors on the image plane. We have designed a set of experiments in order to estimate the act...
متن کاملKernel-Based Hand Tracking
In this work, a new method is proposed for hand tracking based on a density approximation and optimization method. Considering tracking as a classification problem, we train an approxiator to recognize hands from its background. This procedure is done by extracting feature vector of every pixel in the first frame and then building an approximator to construct a virtual optimized surface of pixe...
متن کاملVisual Tracking with Online Incremental Deep Learning and Particle Filter
To solve the problem of tracking the trajectory of a moving object and learning a deep compact image representation in the complex environment, a novel robust incremental deep learning tracker is presented under the particle filter framework. The incremental deep classification neural network was composed of stacked denoising autoencoder, incremental feature learning and support vector machine ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM Transactions on Graphics
سال: 2018
ISSN: 0730-0301,1557-7368
DOI: 10.1145/3197517.3201399