An Adaptive Motion Model for Person Tracking with Instantaneous Head-Pose Features
نویسندگان
چکیده
منابع مشابه
Model-Based Head Pose Tracking With Stereovision
We present a robust model-based stereo head tracking algorithm that operates in real time on a commodity PC. The use of an individualized three-dimensional head model, coupled with the epipolar constraint from the stereo image pair, greatly improves the robustness of the tracking. Experimental results have shown that our method is able to track all the six degrees of freedom of the rigid part o...
متن کاملMotion regularization for model-based head tracking
This paper describes a method for the robust tracking of rigid head motion from video. This method uses a 3D ellipsoidal model of the head and interprets the optical flow in terms of the possible rigid motions of the model. This method is robust to large angular and translational motions of the head and is not subject to the singularities of a 2D model. The method has been successfully applied ...
متن کامل3D Body Pose Estimation Using an Adaptive Person Model for Articulated ICP
The perception of persons is an important capability of today’s robots that work closely together with humans. An operator may use, for example, gestures to refer to an object in the environment. In order to perceive such gestures, the robot has to estimate the body pose of the operator. We focus on the marker-less motion capture of a human body by means of an Iterative Closest Point (ICP) algo...
متن کاملTracking Features with Large Motion
This paper addresses feature tracking when frame-toframe motion is too large that the popular pyramidal Kanade-Lucas-Tomasi (KLT) feature tracker does not work. To solve this problem, we estimate the motion at the deepest pyramid level by matching the horizontal (and vertical) characteristic curves of the consecutive images. To compute the motion estimates efficiently and effectively, we use dy...
متن کاملModel-Based Head Tracking and 3D Pose Estimation
This paper presents a generic method for addressing the issue of 3D model-based head pose estimation. The method proposed relies on the downhill simplex optimization method and on the combination of motion and texture features. A proper initialization based on a block matching procedure associated with 3D/2D matching depending on texture and optical flow information leads to an accurate recover...
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: IEEE Signal Processing Letters
سال: 2015
ISSN: 1070-9908,1558-2361
DOI: 10.1109/lsp.2014.2364458