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PCM
2010
Springer
239views Multimedia» more  PCM 2010»
13 years 5 months ago
Adaptive Particle Filter Based on Energy Field for Robust Object Tracking in Complex Scenes
Particle filter (PF) based object tracking methods have been widely used in computer vision. However, traditional particle filter trackers cannot effectively distinguish the target...
Xin Sun, Hongxun Yao, Shengping Zhang, Shaohui Liu
CVPR
2006
IEEE
14 years 9 months ago
Vertical Parallax from Moving Shadows
This paper presents a method for capturing and computing 3D parallax. 3D parallax, as used here, refers to vertical offset from the ground plane, height. The method is based on an...
Yaron Caspi, Michael Werman
PAMI
2008
275views more  PAMI 2008»
13 years 7 months ago
Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles
Abstract-- We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. Our approac...
Bastian Leibe, Konrad Schindler, Nico Cornelis, Lu...
ICCV
1999
IEEE
14 years 9 months ago
Trajectory Triangulation over Conic Sections
We consider the problem of reconstructing the 3D coordinates of a moving point seen from a monocular moving camera, i.e., to reconstruct moving objects from line-of-sight measurem...
Amnon Shashua, Shai Avidan, Michael Werman
IJIG
2002
189views more  IJIG 2002»
13 years 7 months ago
Motion Detection from Time-Varied Background
This paper proposes a new background subtraction method for detecting moving objects from a time-varied background. While background subtraction has traditionally worked well for ...
Ying Ren, Chin-Seng Chua, Yeong-Khing Ho