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» Tracking features on a moving object using local image bases
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CVPR
2004
IEEE
14 years 11 months ago
A Model for Dynamic Shape and Its Applications
Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the ?-...
Che-Bin Liu, Narendra Ahuja
IROS
2006
IEEE
136views Robotics» more  IROS 2006»
14 years 3 months ago
Panoramic View-Based Navigation in Outdoor Environments Based on Support Vector Learning
— This paper describes a panoramic view-based navigation in outdoor environments. We have been developing a two-phase navigation method. In the training phase, the robot acquires...
Hideo Morita, Michael Hild, Jun Miura, Yoshiaki Sh...
ISCAS
2005
IEEE
171views Hardware» more  ISCAS 2005»
14 years 2 months ago
Compressed-domain fall incident detection for intelligent home surveillance
—This paper presents a compressed-domain fall incident detection scheme for intelligent home surveillance applications. For object extraction, global motion parameters are estima...
Chia-Wen Lin, Zhi-Hong Ling, Yuan-Cheng Chang, Chu...
CVPR
2003
IEEE
14 years 11 months ago
Mean-shift Blob Tracking through Scale Space
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift kernel is a crucial parameter, there is presently n...
Robert T. Collins
CVPR
2012
IEEE
11 years 11 months ago
Visual tracking via adaptive structural local sparse appearance model
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
Xu Jia, Huchuan Lu, Ming-Hsuan Yang