Sciweavers

CVPR
2006
IEEE
15 years 1 months ago
Model Order Selection and Cue Combination for Image Segmentation
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method...
Andrew Rabinovich, Serge Belongie, Tilman Lange, J...
CVPR
2006
IEEE
15 years 1 months ago
Tunable Kernels for Tracking
We present a tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking. The cl...
Vasu Parameswaran, Visvanathan Ramesh, Imad Zoghla...
CVPR
2006
IEEE
15 years 1 months ago
Counting Crowded Moving Objects
In its full generality, motion analysis of crowded objects necessitates recognition and segmentation of each moving entity. The difficulty of these tasks increases considerably wi...
Vincent Rabaud, Serge Belongie
CVPR
2006
IEEE
15 years 1 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
CVPR
2006
IEEE
15 years 1 months ago
Incorporating the Boltzmann Prior in Object Detection Using SVM
In this paper we discuss object detection when only a small number of training examples are given. Specifically, we show how to incorporate a simple prior on the distribution of n...
Margarita Osadchy, Daniel Keren
CVPR
2006
IEEE
15 years 1 months ago
Augmenting Shape with Appearance in Vehicle Category Recognition
Shape is an important cue for generic object recognition but can be insufficient without other cues such as object appearance. We explore a number of ways in which the geometric a...
Özge Can Özcanli, Amir Tamrakar, Benjami...
CVPR
2006
IEEE
15 years 1 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
CVPR
2006
IEEE
15 years 1 months ago
The Bottleneck Geodesic: Computing Pixel Affinity
A meaningful affinity measure between pixels is essential for many computer vision and image processing applications. We propose an algorithm that works in the features' hist...
Ido Omer, Michael Werman
CVPR
2006
IEEE
15 years 1 months ago
The Registration Problem Revisited: Optimal Solutions From Points, Lines and Planes
In this paper we propose a practical and efficient method for finding the globally optimal solution to the problem of pose estimation of a known object. We present a framework tha...
Carl Olsson, Fredrik Kahl, Magnus Oskarsson
CVPR
2006
IEEE
15 years 1 months ago
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are pur...
Vidhya Navalpakkam, Laurent Itti