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MVA
1998
173views Computer Vision» more  MVA 1998»
13 years 8 months ago
Detection of Building Changes from Aerial Imageries Through Information Fusion
1) the density of building is low 2) image resolution is high 3) the color or gray scale for building's surface In this paper, an improved approach of are 'lose to unifo...
Wei Lu, Takeshi Doihara, Yoshino Matsumoto
ROBOCUP
2007
Springer
157views Robotics» more  ROBOCUP 2007»
14 years 1 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
ICPR
2008
IEEE
14 years 1 months ago
An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking
The mean-shift (MS) algorithm is widely used in object tracking because of its speed and simplicity. However, it assumes certain overlap of object appearance and smooth change in ...
Zhidong Li, Jing Chen, Nicol N. Schraudolph
ICCV
2007
IEEE
14 years 9 months ago
Synthetic Aperture Tracking: Tracking through Occlusions
Occlusion is a significant challenge for many tracking algorithms. Most current methods can track through transient occlusion, but cannot handle significant extended occlusion whe...
Neel Joshi, Shai Avidan, Wojciech Matusik, David J...
SIBGRAPI
2006
IEEE
14 years 1 months ago
Dealing with Multi-Scale Depth Changes and Motion in Depth Edge Detection
Sharp discontinuities in depth, or depth edges, are very important low-level features for scene understanding. Recently, we have proposed a solution to the depth edge detection pr...
Rogerio Feris, Matthew Turk, Ramesh Raskar