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VIP
2003
8 years 7 months ago
Tracking Using CamShift Algorithm and Multiple Quantized Feature Spaces
The Continuously Adaptive Mean Shift Algorithm (CamShift) is an adaptation of the Mean Shift algorithm for object tracking that is intended as a step towards head and face trackin...
John G. Allen, Richard Y. D. Xu, Jesse S. Jin
DICTA
2003
8 years 7 months ago
Color Image Segmentation Using Global Information and Local Homogeneity
This paper proposes a new method of color image segmentation considering both global information and local homogeneity. The method applies the mean shift algorithm in the hue and i...
Hanzi Wang, David Suter
ICVGIP
2008
8 years 8 months ago
Fragment Based Tracking for Scale and Orientation Adaptation
In this work, we propose a simple yet highly effective algorithm for tracking a target through significant scale and orientation change. We divide the target into a number of frag...
Viswanathan Srikrishnan, Tadinada Nagaraj, Subhasi...
IBERAMIA
2004
Springer
8 years 12 months ago
A Perceptual User Interface Using Mean Shift
This work describes a perceptual user interface based on the Mean Shift algorithm to control mouse events by gestures using a generic usb camera. To demonstrate the usefulness of o...
Edson Prestes e Silva Jr., Anderson P. Ferrugem, M...
ICCV
2005
IEEE
9 years 2 days ago
Simultaneous Multiple 3D Motion Estimation via Mode Finding on Lie Groups
We propose a new method to estimate multiple rigid motions from noisy 3D point correspondences in the presence of outliers. The method does not require prior specification of num...
Oncel Tuzel, Raghav Subbarao, Peter Meer
ICCV
2005
IEEE
9 years 2 days ago
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
IROS
2006
IEEE
274views Robotics» more  IROS 2006»
9 years 14 days ago
Adaptive Scale Robust Segmentation for 2D Laser Scanner
Abstract— This paper presents a robust algorithm for segmentation and line detection in 2D range scans. The described method exploits the multimodal probability density function ...
Ruben Martinez-Cantin, José A. Castellanos,...
ICPR
2008
IEEE
9 years 27 days ago
Orientation and scale invariant mean shift using object mask-based kernel
In this paper, we propose a new method for object tracking based on mean shift algorithm using a kernel which has the shape of the target object, and with probabilistic estimation...
Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi
ECCV
2006
Springer
9 years 8 months ago
Accelerated Convergence Using Dynamic Mean Shift
Mean shift is an iterative mode-seeking algorithm widely used in pattern recognition and computer vision. However, its convergence is sometimes too slow to be practical. In this pa...
Kai Zhang, James T. Kwok, Ming Tang
CVPR
2007
IEEE
9 years 8 months ago
Discontinuity Preserving Filtering over Analytic Manifolds
Discontinuity preserving filtering of images is an important low-level vision task. With the development of new imaging techniques like diffusion tensor imaging (DTI), where the d...
Raghav Subbarao, Peter Meer
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