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Low-Level Salient Region Detection Using Multi-Scale Filtering

Related publications (36)

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Bayesian methods for visual multi-object tracking with applications to human activity recognition

Kevin Smith

In recent years, we have seen a dramatic increase in the amount of video data recorded and stored around the world. Driven by the availability of low-cost video cameras, the ever-decreasing cost of digital media storage, and the explosion in popularity of ...

École Polytechnique Fédérale de Lausanne2007

Bayesian methods for visual multi-object tracking with applications to human activity recognition

Kevin Smith

EPFL2007

Scale-space analysis and active contours for omnidirectional images

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson, Iva Bogdanova Vandergheynst

A new generation of optical devices that generate images covering a larger part of the field of view than conventional cameras, namely catadioptric cameras, is slowly emerging. These omnidirectional images will most probably deeply impact computer vision i ...

Institute of Electrical and Electronics Engineers2007

Unsupervised multiscale image segmentation

Ana Dimitrijevic

In the early stages of visual information processing one of the most fundamental and complex task is segmentation. This process is used to divide images or image sequences into meaningful regions or objects. Such a representation is definitely needed to go ...

EPFL2006

Adaptive video delivery using semantics

Olivier Steiger

The diffusion of network appliances such as cellular phones, personal digital assistants and hand-held computers has created the need to personalize the way media content is delivered to the end user. Moreover, recent devices, such as digital radio receive ...

EPFL2005

Image segmentation with variational active contours

Xavier Bresson

An important branch of computer vision is image segmentation. Image segmentation aims at extracting meaningful objects lying in images either by dividing images into contiguous semantic regions, or by extracting one or more specific objects in images such ...

EPFL2005

Multiscale Active Contours

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson

In this paper, we propose an evolution equation for the active contours in scale spaces. This evolution equation is based on the Polyakov functional that has been first introduced in physics and has been then used in image processing in ...

SPIE2005

Feature point extraction using scale-space representation

Touradj Ebrahimi, Yousri Abdeljaoued

An algorithm for feature point extraction is presented. It is based on a scale-space representation of the image as well as a system for tracking across scales. Using synthetic and real images, it is shown that the proposed algorithm produces stable and we ...

2004

Coevolution of active vision and feature selection

Dario Floreano, Eric Sauser, Toshifumi Kato, Davide Marocco

We show that complex visual tasks, such as position- and size-invariant shape recognition and navigation in the environment, can be tackled with simple architectures generated by a coevolutionary process of active vision and feature selection. Behavioral m ...

2004

Shadow segmentation and tracking in real-world conditions

Elena Salvador

Visual information, in the form of images and video, comes from the interaction of light with objects. Illumination is a fundamental element of visual information. Detecting and interpreting illumination effects is part of our everyday life visual experien ...

EPFL2004