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Understanding the camera wearers activity is central to egocentric vision, yet one key facet of that activity is inherently invisible to the camera—the wearers body pose. Prior work focuses on estimating the pose of hands and arms when they come into view, but this 1) gives an incomplete view of the full body posture, and 2) prevents any pose estimate at all in many frames, since the hands...
In this paper, we present a three-dimensional (3D) geometric channel model for vehicle-to-vehicle (V2V) communication environments. We adopt a two-cylinder model to describe moving vehicles as well as semi-ellipsoid model to depict stationary roadside scenarios, where the received signal is constructed as a sum of the line-of-sight (LoS), single-, and double-bounced rays. Accordingly, the proposed...
We present a Bayesian framework for estimating 3D human pose and camera from a single RGB image. We develop a generative model where a 3D pose is rendered onto an image (via the camera), which then generates a detection probability map for each body part. We represent a human pose with a set of 3D cylinders in space, one for each body part, and we place kinematic and self-intersection priors on the...
We propose a deep convolutional neural network for 3Dhuman pose and camera estimation from monocular imagesthat learns from 2D joint annotations. The proposed networkfollows the typical architecture, but contains an additionaloutput layer which projects predicted 3D joints onto2D, and enforces constraints on body part lengths in 3D.We further enforce pose constraints using an independentlytrained...
In this paper, an architecture of remote laboratory for the college of optoelectronic engineering is proposed. Any university which wants to establish distance education for the college of optoelectronic engineering can use the proposed architecture or hardware and software to manage experimental assignments from any location. There are four main parts of the proposed remote laboratory: remote users,...
Human movement summarization and depiction from videos is to automatically turn an input video into high level action illustrations, in which the movements of the body parts are visualized using arrows and motion particles. Motion depiction compactly illustrates how specific movements are performed. Previous action summarization methods reply on 3D motion capture or manually labeled data, without...
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