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PSIVT
2009
Springer
187views Multimedia» more  PSIVT 2009»
16 years 1 months ago
Video-Based Motion Capturing for Skeleton-Based 3D Models
In this paper, a semi-automatic method to capture motion data from a single-camera video is proposed. The input video is first segmented and analyzed, and a 3D character model wit...
Liang-Yu Shih, Bing-Yu Chen, Ja-Ling Wu
152
Voted
CDC
2008
IEEE
127views Control Systems» more  CDC 2008»
16 years 28 days ago
Prediction of vertical motions for landing operations of UAVs
— This paper outlines a novel and feasible procedure to predict vertical motions for safe landing of unmanned aerial vehicles (UAVs) during maritime operations. In the presence o...
Xilin Yang, Hemanshu Roy Pota, Matthew Garratt, Va...
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
16 years 24 days ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso
ISCAS
2007
IEEE
141views Hardware» more  ISCAS 2007»
16 years 22 days ago
Active Visual Tracking of Heading Direction By Combining Motion Energy Neurons
- We describe a robotic vision system that aligns a camera's optical axis with its direction of translation by estimating the focus of expansion. Visual processing is based on...
Stanley Y. M. Lam, Bertram Emil Shi
ICMCS
2005
IEEE
185views Multimedia» more  ICMCS 2005»
16 years 1 days ago
Automatic Object Trajectory-Based Motion Recognition Using Gaussian Mixture Models
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld