ICCV
2007
IEEE
15 years 2 months ago
2007
IEEE
We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features (appearance and biometrics) observ...
ICCV
2007
IEEE
15 years 2 months ago
2007
IEEE
ICCV
2007
IEEE
15 years 2 months ago
2007
IEEE
Capacity scaling is a hierarchical approach to graph representation that can improve theoretical complexity and practical efficiency of max-flow/min-cut algorithms. Introduced by ...
ICCV
2007
IEEE
15 years 2 months ago
2007
IEEE
We present a biologically-motivated system for the recognition of actions from video sequences. The approach builds on recent work on object recognition based on hierarchical feed...
ICCV
2007
IEEE
15 years 2 months ago
2007
IEEE
This paper presents a new method to detect and accurately extract the moving object from a video sequence taken by a hand-held camera. In order to extract the high quality moving ...
ICCV
2007
IEEE
15 years 2 months ago
2007
IEEE
Visual tracking is a very important front-end to many vision applications. We present a new framework for robust visual tracking in this paper. Instead of just looking forward in ...
ICCV
2007
IEEE
15 years 2 months ago
2007
IEEE
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...
ICCV
2007
IEEE
15 years 2 months ago
2007
IEEE
Ricci flow is a powerful curvature flow method in geometric analysis. This work is the first application of surface Ricci flow in computer vision. We show that previous methods ba...
ICCV
2007
IEEE
15 years 2 months ago
2007
IEEE
In this paper, a new framework for the tracking of closed curves is described. The proposed approach, formalized through an optimal control technique, enables a continuous trackin...
ICCV
2007
IEEE
15 years 2 months ago
2007
IEEE
In this paper, we demonstrate an integrated registration and clustering algorithm to compute an atlas of fiberbundles from a set of multi-subject diffusion weighted MR images. We ...