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» Motion track: Visualizing variations of human motion data
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CVPR
2006
IEEE
14 years 1 months ago
A Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking
This paper presents the first systematic empirical study of the particle filter (PF) algorithms for human figure tracking in video. Our analysis and evaluation follows a modula...
Ping Wang, James M. Rehg
AAAI
1996
13 years 9 months ago
Robot Navigation Using Image Sequences
We describe a framework for robot navigation that exploits the continuity of image sequences. Tracked visual features both guide the robot and provide predictive information about...
Christopher Rasmussen, Gregory D. Hager
ICPR
2008
IEEE
14 years 2 months ago
Automatic face and facial features initialization for robust and accurate tracking
Face detection and tracking, through image sequences, are primary steps in many applications such as video surveillance, human computer interface, and expression analysis. Many cu...
Murad Al Haj, Javier Orozco, Jordi Gonzàlez...
CVPR
1999
IEEE
14 years 9 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
SPIESR
1998
190views Database» more  SPIESR 1998»
13 years 9 months ago
NeTra-V: Toward an Object-Based Video Representation
We present here a prototype video analysis and retrieval system, called NeTra-V, that is being developed to build an object-based video representation for functionalities such as s...
Yining Deng, Debargha Mukherjee, B. S. Manjunath