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» Mean-shift Blob Tracking through Scale Space
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ICIP
2007
IEEE
13 years 10 months ago
Mean-Shift Blob Tracking with Adaptive Feature Selection and Scale Adaptation
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we prop...
Dawei Liang, Qingming Huang, Shuqiang Jiang, Hongx...
ROBOCUP
2007
Springer
157views Robotics» more  ROBOCUP 2007»
13 years 10 months ago
Mean-Shift-Based Color Tracking in Illuminance Change
Abstract. The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although it is important to adapt the mean-shift kernel to handle changes in il...
Yuji Hayashi, Hironobu Fujiyoshi
CVPR
2003
IEEE
14 years 6 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
2007
IEEE
14 years 6 months ago
Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection
Tracking objects using the mean shift method is performed by iteratively translating a kernel in the image space such that the past and current object observations are similar. Tr...
Alper Yilmaz
ICIP
2006
IEEE
14 years 6 months ago
QP_TR Trust Region Blob Tracking Through Scale-Space
A new approach of tracking objects in image sequences is proposed, in which the constant changes of the size and orientation ofthe target can be precisely described. For each inco...
Jingping Jia, Qing Wang, Yanmei Chai, Rongchun Zha...