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ICCV
2009
IEEE
15 years 3 months ago
Quantifying Contextual Information for Object Detection
Context is critical for minimising ambiguity in object de- tection. In this work, a novel context modelling framework is proposed without the need of any prior scene segmen- tat...
Wei-Shi Zheng, Shaogang Gong and Tao Xiang
ICCV
2009
IEEE
15 years 3 months ago
Feature-Centric Efficient Subwindow Search
embedded in a sliding-window scheme. Such exhaustive search involves massive computation. Efficient Subwindow Search (ESS) [11] avoids this by means of branch and bound. However...
Alain Lehmann, Bastian Leibe, Luc van Gool
ICCV
2009
IEEE
1198views Computer Vision» more  ICCV 2009»
15 years 3 months ago
Implicit Color Segmentation Features for Pedestrian Detection
We investigate the problem of pedestrian detection in still images. Sliding window classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and Trig...
Patrick Ott and Mark Everingham
ICCV
2009
IEEE
15 years 3 months ago
Finding Good Composition in Panoramic Scenes
We introduce a new problem of automatic photo composition, and present an effective technique for finding good views within a panoramic scene. Instead of applying heuristic rule...
Yuan-Yang Chang, Hwann-Tzong Chen
ICCV
2009
IEEE
15 years 3 months ago
Subspace matching: Unique solutions to point matching with geometric constraints
Finding correspondences between feature points is one of the most relevant problems in the whole set of visual tasks. In this paper we address the problem of matching a feature ...
Manuel Marques, Marko Stosic and Joao Costeira
ICCV
2009
IEEE
15 years 3 months ago
The One-Shot Similarity Kernel
The One-Shot similarity measure has recently been introduced in the context of face recognition where it was used to produce state-of-the-art results. Given two vectors, their O...
Lior Wolf, Tal Hassner, Yaniv Taigman
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
15 years 3 months ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
ICCV
2009
IEEE
15 years 3 months ago
A Theory of Active Object Localization
We present some theoretical results related to the problem of actively searching for a target in a 3D environment, under the constraint of a maximum search time. We define the o...
Alexander Andreopoulos, John K. Tsotsos
ICCV
2009
IEEE
1075views Computer Vision» more  ICCV 2009»
15 years 3 months ago
LabelMe video: Building a Video Database with Human Annotations
Currently, video analysis algorithms suffer from lack of information regarding the objects present, their interactions, as well as from missing comprehensive annotated video dat...
Jenny Yuen, Bryan Russell, Ce Liu, Antonio Torralb...
ICCV
2009
IEEE
15 years 3 months ago
Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers
We introduce a linearly weighted variant of the total variation for vector fields in order to formulate regularizers for multi-class labeling problems with non-trivial interclass...
J. Lellmann, F. Becker, C. Schn¨orr