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CVPR
2007
IEEE
14 years 7 months ago
Learning Motion Categories using both Semantic and Structural Information
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
Shu-Fai Wong, Tae-Kyun Kim, Roberto Cipolla
CVPR
2006
IEEE
13 years 12 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
ICPR
2002
IEEE
14 years 6 months ago
4-D Voting for Matching, Densification and Segmentation into Motion Layers
* We present a novel approach for grouping from motion, based on a 4-D Tensor Voting computational framework. From sparse point tokens in two frames we recover the dense velocity f...
Gérard G. Medioni, Mircea Nicolescu
IBERAMIA
2004
Springer
13 years 11 months ago
Statistical Inference in Mapping and Localization for Mobile Robots
In this paper we tackle the problem of providing a mobile robot with the ability to build a map of its environment using data gathered during navigation. The data correspond to the...
Anita Araneda, Alvaro Soto
CHI
2007
ACM
14 years 6 months ago
Sharing motion information with close family and friends
We present the Motion Presence application, an augmented phone book style application that allows close friends and family to view each other's current motion status ("m...
Frank Bentley, Crysta J. Metcalf