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» Tracking features on a moving object using local image bases
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ICCV
2007
IEEE
16 years 3 months ago
Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary
Kernel-based trackers aggregate image features within the support of a kernel (a mask) regardless of their spatial structure. These trackers spatially fit the kernel (usually in l...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
119
Voted
ECCV
2008
Springer
16 years 3 months ago
Differential Spatial Resection - Pose Estimation Using a Single Local Image Feature
Robust local image features have been used successfully in robot localization and camera pose estimation; region tracking using affine warps is considered state of the art also for...
Kevin Köser, Reinhard Koch
129
Voted
ICIP
2005
IEEE
16 years 3 months ago
Pedestrian classification from moving platforms using cyclic motion pattern
This paper describes an efficient pedestrian detection system for videos acquired from moving platforms. Given a detected and tracked object as a sequence of images within a bound...
Yang Ran, Qinfen Zheng, Isaac Weiss, Larry S. Davi...
ACCV
2009
Springer
15 years 8 months ago
3D Motion Segmentation Using Intensity Trajectory
Motion segmentation is a fundamental aspect of tracking in a scene with multiple moving objects. In this paper we present a novel approach to clustering individual image pixels ass...
Hua Yang, Greg Welch, Jan-Michael Frahm, Marc Poll...
ICIP
2008
IEEE
16 years 3 months ago
Using local regression kernels for statistical object detection
We present a novel approach to the problem of detection of visual similarity between a template image, and patches in a given image. The method is based on the computation of a lo...
Hae Jong Seo, Peyman Milanfar