Q
Qin Cai
Researcher at Microsoft
Publications - 27
Citations - 5528
Qin Cai is an academic researcher from Microsoft. The author has contributed to research in topics: Eye tracking & Motion estimation. The author has an hindex of 18, co-authored 27 publications receiving 5235 citations. Previous affiliations of Qin Cai include University of Texas at Austin & RealNetworks.
Papers
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Proceedings ArticleDOI
Human motion analysis: a review
Jake K. Aggarwal,Qin Cai +1 more
TL;DR: The paper gives an overview of the various tasks involved in motion analysis of the human body, and focuses on three major areas related to interpreting human motion: motion analysis involving human body parts, tracking of human motion using single or multiple cameras, and recognizing human activities from image sequences.
Journal ArticleDOI
Human Motion Analysis
Jake K. Aggarwal,Qin Cai +1 more
TL;DR: An overview of the various tasks involved in motion analysis of the human body is given and three major areas related to interpreting human motion are focused on: motion analysis involving human body parts, tracking a moving human from a single view or multiple camera perspectives, and recognizing human activities from image sequences.
Proceedings ArticleDOI
Holoportation: Virtual 3D Teleportation in Real-time
Sergio Orts-Escolano,Christoph Rhemann,Sean Fanello,Wayne Chang,Adarsh Kowdle,Yury Degtyarev,David Kim,Philip Davidson,Sameh Khamis,Mingsong Dou,Vladimir Tankovich,Charles Loop,Qin Cai,Philip A. Chou,Sarah Mennicken,Julien Valentin,Vivek Pradeep,Shenlong Wang,Sing Bing Kang,Pushmeet Kohli,Yuliya Lutchyn,Cem Keskin,Shahram Izadi +22 more
TL;DR: This paper demonstrates high-quality, real-time 3D reconstructions of an entire space, including people, furniture and objects, using a set of new depth cameras, and allows users wearing virtual or augmented reality displays to see, hear and interact with remote participants in 3D, almost as if they were present in the same physical space.
Journal ArticleDOI
Tracking human motion in structured environments using a distributed-camera system
Qin Cai,Jake K. Aggarwal +1 more
TL;DR: This paper demonstrates the feasibility of an end-to-end person tracking system using a unique combination of motion analysis on 3D geometry in different camera coordinates and other existing techniques in motion detection, segmentation, and pattern recognition.
Proceedings ArticleDOI
Tracking human motion using multiple cameras
Qin Cai,Jake K. Aggarwal +1 more
TL;DR: Experimental results from real data show the robustness of the algorithm and its potential for real time applications.