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» Motion estimation using ordinal measures
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NIPS
2007
13 years 9 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
IROS
2008
IEEE
148views Robotics» more  IROS 2008»
14 years 2 months ago
Identifying a moving object with an accelerometer in a camera view
— This paper proposes a method for identifying an object which contains an accelerometer out of many moving objects in the view of a stationary camera using motion data obtained ...
Osamu Shigeta, Shingo Kagami, Koichi Hashimoto
ICCV
1999
IEEE
13 years 12 months ago
3D Pose Tracking with Linear Depth and Brightness Constraints
This paper explores the direct motion estimation problem assuming that video-rate depth information is available, from either stereo cameras or other sensors. We use these depth m...
Michael Harville, Ali Rahimi, Trevor Darrell, Gail...
ICRA
2008
IEEE
144views Robotics» more  ICRA 2008»
14 years 2 months ago
Decentralized mapping of robot-aided sensor networks
— A key problem in deploying sensor networks in real-world applications is that of mapping, i.e. determining the location of each sensor such that subsequent tasks such as tracki...
Joseph Djugash, Sanjiv Singh, Ben Grocholsky
CVPR
1997
IEEE
13 years 12 months ago
Physically based fluid flow recovery from image sequences
This paper presents an approach to measuring fluid flow from image sequences. The approach centers around a motion recovery algorithm that is based on principles from fluid mechan...
Richard P. Wildes, Michael J. Amabile, Ann-Marie L...