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PAMI
2011
12 years 10 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
AR
2007
204views more  AR 2007»
13 years 7 months ago
Action recognition and understanding through motor primitives
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
Isabel Serrano Vicente, Ville Kyrki, Danica Kragic...
ICPR
2002
IEEE
14 years 8 months ago
Hierarchical Monitoring of People's Behaviors in Complex Environments Using Multiple Cameras
We present a distributed, surveillance system that works in large and complex indoor environments. To track and recognize behaviors of people, we propose the use of the Hidden Mar...
Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. We...
TIT
2008
102views more  TIT 2008»
13 years 7 months ago
On Low-Complexity Maximum-Likelihood Decoding of Convolutional Codes
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
Jie Luo
ICRA
2003
IEEE
131views Robotics» more  ICRA 2003»
14 years 29 days ago
Sky/ground modeling for autonomous MAV flight
Abstract— Recently, we have implemented a computervision based horizon-tracking algorithm for flight stability and autonomy in Micro Air Vehicles (MAVs) [1]. Occasionally, this ...
Sinisa Todorovic, Michael C. Nechyba, Peter G. Ifj...