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IJON
2002
120views more  IJON 2002»
15 years 1 months ago
The recognition and analysis of animate objects using neural networks and active contour models
: In this paper we describe a method for tracking walking humans in the visual field. Active contour models are used to track moving objects in a sequence of images. The resulting ...
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
CVPR
2008
IEEE
16 years 3 months ago
Real-time pose estimation of articulated objects using low-level motion
We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
Ben Daubney, David P. Gibson, Neill W. Campbell
IROS
2009
IEEE
189views Robotics» more  IROS 2009»
15 years 8 months ago
Moving object detection by multi-view geometric techniques from a single camera mounted robot
— The ability to detect, and track multiple moving objects like person and other robots, is an important prerequisite for mobile robots working in dynamic indoor environments. We...
Abhijit Kundu, Madhava M. Krishna, Jayanthi Sivasw...
ICCV
2009
IEEE
1052views Computer Vision» more  ICCV 2009»
16 years 6 months ago
A direct approach for efficiently tracking with 3D Morphable Models
We present an efficient algorithm for fitting a morphable model to an image sequence. It is built on a projective geometry formulation of perspective projection, which results in a...
Enrique Muñoz, José M. Buenaposada, Luis Baumela
ICIP
2008
IEEE
15 years 8 months ago
Matching tracking sequences across widely separated cameras
In this paper, we present a new solution to the problem of matching tracking sequences across different cameras. Unlike snapshot-based appearance matching which matches objects by...
Yinghao Cai, Kaiqi Huang, Tieniu Tan