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» Tracking in a Dense Crowd Using Multiple Cameras
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CVPR
2009
IEEE
15 years 2 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
FSKD
2007
Springer
193views Fuzzy Logic» more  FSKD 2007»
14 years 1 months ago
Panoramic Background Model under Free Moving Camera
segmentation of moving regions in outdoor environment under a moving camera is a fundamental step in many vision systems including automated visual surveillance, human-machine int...
Naveed I. Rao, Huijun Di, Guangyou Xu
IROS
2009
IEEE
147views Robotics» more  IROS 2009»
14 years 2 months ago
Vision-based estimation of three-dimensional position and pose of multiple underwater vehicles
— This paper describes a model-based probabilistic framework for tracking a fleet of laboratory-scale underwater vehicles using multiple fixed cameras. We model the target moti...
Sachit Butail, Derek A. Paley
CVPR
2011
IEEE
13 years 4 months ago
Detection Free Tracking: Exploiting Motion and Topology for Segmenting and Tracking under Entanglement.
Our goal is to segment multiple interacting and deforming agents in a video. Detectors often fail under large body deformation or agent entanglement. On the other hand, segmenting...
Katerina Fragkiadaki, Jianbo Shi
ICIAR
2005
Springer
14 years 1 months ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar