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» Inertial-aided KLT feature tracking for a moving camera
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CVPR
2011
IEEE
13 years 2 months ago
action recognition by dense trajectories
Feature trajectories have shown to be efficient for representing videos. Typically, they are extracted using the KLT tracker or matching SIFT descriptors between frames. However,...
Heng Wang, Alexander Kläser, Cordelia Schmid, Che...
ICIP
2010
IEEE
13 years 5 months ago
Acquiring shaking-free route panorama by stationary blurring
This work obtains shaking-free route panoramas from a vehicle borne camera. We detect the shaking and waving profile of the camera and rectify a long route panorama automatically ...
Hongyuan Cai, Jiang Yu Zheng, Hiromi T. Tanaka
ICIAR
2005
Springer
14 years 27 days 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
AVSS
2005
IEEE
14 years 1 months ago
Multiple object tracking using 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 gener...
Xingzhi Luo, Suchendra M. Bhandarkar
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
14 years 1 months ago
Video with Ground-Truth for Validation of Visual Registration, Tracking and Navigation Algorithms
A fundamental task in computer vision is that of determining the position and orientation of a moving camera relative to an observed object or scene. Many such visual tracking alg...
Rustam Stolkin, Alistair Greig, John Gilby