Search Results - "Obdržálek, Stěpán"

Design and Evaluation of an Interactive Exercise Coaching System for Older Adults: Lessons Learned by Ofli, Ferda, Kurillo, Gregorij, Obdrzalek, Stepan, Bajcsy, Ruzena, Jimison, Holly Brugge, Pavel, Misha

“…Although the positive effects of exercise on the well-being and quality of independent living for older adults are well accepted, many elderly individuals lack…”
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Upper extremity reachable workspace evaluation with Kinect by Kurillo, Gregorij, Han, Jay J, Obdržálek, Stěpán, Yan, Posu, Abresch, Richard T, Nicorici, Alina, Bajcsy, Ruzena

“…We propose a novel low-cost method for quantitative assessment of upper extremity workspace envelope using Microsoft Kinect camera. In clinical environment…”
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Real-time human pose detection and tracking for tele-rehabilitation in virtual reality by Obdržálek, Stěpán, Kurillo, Gregorij, Han, Jay, Abresch, Ted, Bajcsy, Ruzena

“…We present a real-time algorithm for human pose detection and tracking from vision-based 3D data and its application to tele-rehabilitation in virtual…”
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Architecture of an automated coaching system for elderly population by Obdržálek, Stěpán, Kurillo, Gregorij, Seto, Edmund, Bajcsy, Růžena

“…We present an automated coaching system for elderly population living in assisted homes. The system guides its users through a sequence of exercises and tests…”
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A voting strategy for visual ego-motion from stereo by Obdrzalek, Stepan, Matas, Jiri

“…We present a procedure for egomotion estimation from visual input of a stereo pair of video cameras. The 3D egomotion problem, which has six degrees of freedom…”
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Detection and fine 3D pose estimation of texture-less objects in RGB-D images by Hodan, Tomas, Zabulis, Xenophon, Lourakis, Manolis, Obdrzalek, Stepan, Matas, Jiri

“…Despite their ubiquitous presence, texture-less objects present significant challenges to contemporary visual object detection and localization algorithms…”
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T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects by Hodan, Tomas, Haluza, Pavel, Obdrzalek, Stepan, Matas, Jiri, Lourakis, Manolis, Zabulis, Xenophon

“…We introduce T-LESS, a new public dataset for estimating the 6D pose, i.e. translation and rotation, of texture-less rigid objects. The dataset features thirty…”
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Accuracy and robustness of Kinect pose estimation in the context of coaching of elderly population by Obdrzalek, S., Kurillo, G., Ofli, F., Bajcsy, R., Seto, E., Jimison, H., Pavel, M.

“…The Microsoft Kinect camera is becoming increasingly popular in many areas aside from entertainment, including human activity monitoring and rehabilitation…”
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Integrated vision system for the semantic interpretation of activities where a person handles objects by Vincze, Markus, Zillich, Michael, Ponweiser, Wolfgang, Hlavac, Vaclav, Matas, Jiri, Obdrzalek, Stepan, Buxton, Hilary, Howell, Jonathan, Sage, Kingsley, Argyros, Antonis, Eberst, Christoph, Umgeher, Gerald

“…Interpretation of human activity is primarily known from surveillance and video analysis tasks and concerned with the persons alone. In this paper we present…”
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Dense linear-time correspondences for tracking by Obdrzalek, S., Perd'och, M., Matas, J.

“…A novel method is proposed for the problem of frame-to-frame correspondence search in video sequences. The method, based on hashing of low-dimensional image…”
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Stable Affine Frames on Isophotes by Perdoch, M., Matas, J., Obdrzalek, S.

“…We propose a new affine-covariant feature, the stable affine frame (SAF). SAFs lie on the boundary of extremal regions, i.e. on isophotes. Instead of requiring…”
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T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects by Hodan, Tomas, Haluza, Pavel, Obdrzalek, Stepan, Matas, Jiri, Lourakis, Manolis, Zabulis, Xenophon

“…We introduce T-LESS, a new public dataset for estimating the 6D pose, i.e. translation and rotation, of texture-less rigid objects. The dataset features thirty…”
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Object recognition methods based on transformation covariant features by Matas, Jiri, Obdrzalek, Stepan

“…Methods based on distinguished regions (transformation covariant detectable patches) have achieved considerable success in a range of object recognition,…”
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