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» Tracking Objects to Detect Feature Dependencies
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ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
13 years 5 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...
CVPR
2012
IEEE
11 years 9 months ago
Using scene features to improve wide-area video surveillance
We introduce two novel methods to improve the performance of wide area video surveillance applications by using scene features. First, we evaluate the drift in intrinsic and extri...
Ziyan Wu, Richard J. Radke
TSMC
2008
148views more  TSMC 2008»
13 years 6 months ago
Stratification Approach for 3-D Euclidean Reconstruction of Nonrigid Objects From Uncalibrated Image Sequences
Abstract--This paper addresses the problem of 3-D reconstruction of nonrigid objects from uncalibrated image sequences. Under the assumption of affine camera and that the nonrigid ...
Guanghui Wang, Q. M. Jonathan Wu
DPHOTO
2009
353views Hardware» more  DPHOTO 2009»
13 years 5 months ago
Fuzzy-based motion estimation for video stabilization using SIFT interest points
In this paper we present a technique which infers interframe motion by tracking SIFT features through consecutive frames: feature points are detected and their stability is evalua...
Sebastiano Battiato, Giovanni Gallo, Giovanni Pugl...
IJCV
1998
238views more  IJCV 1998»
13 years 7 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg