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IPSN
2004
Springer
14 years 11 days ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
ROBOCUP
2004
Springer
117views Robotics» more  ROBOCUP 2004»
14 years 11 days ago
Map-Based Multiple Model Tracking of a Moving Object
In this paper we propose an approach for tracking a moving target using Rao-Blackwellised particle filters. Such filters represent posteriors over the target location by a mixtur...
Cody C. T. Kwok, Dieter Fox
ICRA
2008
IEEE
130views Robotics» more  ICRA 2008»
14 years 1 months ago
Motion estimation using multiple non-overlapping cameras for small unmanned aerial vehicles
— An imaging sensor made of multiple light-weight non-overlapping cameras is an effective sensor for a small unmanned aerial vehicle that has strong payload limitation. This pape...
Jun-Sik Kim, Myung Hwangbo, Takeo Kanade
CIVR
2010
Springer
254views Image Analysis» more  CIVR 2010»
13 years 12 months ago
Video scene analysis of interactions between humans and vehicles using event context
In this paper, we present a methodology to estimate a detailed state of a video scene involving multiple humans and vehicles. In order to annotate and retrieve videos containing a...
M. S. Ryoo, Jong Taek Lee, Jake K. Aggarwal
ECCV
2006
Springer
13 years 10 months ago
Human Pose Tracking Using Multi-level Structured Models
Tracking body poses of multiple persons in monocular video is a challenging problem due to the high dimensionality of the state space and issues such as inter-occlusion of the pers...
Mun Wai Lee, Ramakant Nevatia