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A collaborative approach to image segmentation and behavior recognition from image sequences

Publications associées (352)

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Caenorhabditis elegant segmentation using texture-based models for motility phenotyping

Pascal Fua, Raphael Sznitman, Josué Sznitman

With widening interests in using model organisms for reverse genetic approaches and biomimmetic micro-robotics, motility phenotyping of the nematode Caenorhabditis elegans is expanding across a growing array of locomotive environments. One ongoing bottlene ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Beyond KernelBoost

Pascal Fua, Vincent Lepetit, Roberto Rigamonti

In this Technical Report we propose a set of improvements with respect to the KernelBoost classifier presented in [Becker et al., MICCAI 2013]. We start with a scheme inspired by Auto-Context, but that is suitable in situations where the lack of large trai ...

2014

Dendritic tree extraction from noisy maximum intensity projection images in C-elegans

Pascal Fua, Raphael Sznitman, Josué Sznitman

Background: Maximum Intensity Projections (MIP) of neuronal dendritic trees obtained from confocal microscopy are frequently used to study the relationship between tree morphology and mechanosensory function in the model organism C. elegans. Extracting den ...

Biomed Central Ltd2014

Leveraging Colour Segmentation for Upper-Body Detection

Jean-Marc Odobez

This paper presents an upper-body detection algorithm that extends classical shape-based detectors through the use of additional semantic colour segmentation cues. More precisely, candidate upper-body image patches produced by a base detector are soft-segm ...

2014

From Bits to Images: Inversion of Local Binary Descriptors

Pierre Vandergheynst, Alexandre Massoud Alahi, Laurent Jacques, Emmanuel D'Angelo

Local Binary Descriptors are becoming more and more popular for image matching tasks, especially when going mobile. While they are extensively studied in this context, their ability to carry enough information in order to infer the original image is seldom ...

Institute of Electrical and Electronics Engineers2014

Palm vein recognition with local texture patterns

Leila Mirmohamadsadeghi, Andrzej Drygajlo

Biometric recognition using the palm vein characteristics is emerging as a touchless and spoof-resistant hand-based means to identify individuals or to verify their identity. One of the open challenges in this field is the creation of fast and modality-dep ...

Inst Engineering Technology-Iet2014

Fidelity concepts used in UWB systems

Anja Skrivervik, Mohsen Koohestani

Since its introduction the fidelity concept has been used to evaluate the time behavior of UWB antennas. However, fidelity has been employed with different meanings. This paper clarifies the differences between fidelity factor, system fidelity factor, and ...

2014

Sparse Binary Features for Image Classification

Johann Paratte

In this work a new method for automatic image classification is proposed. It relies on a compact representation of images using sets of sparse binary features. This work first evaluates the Fast Retina Keypoint binary descriptor and proposes imp ...

2013

Object Classification and Detection in High Dimensional Feature Space

Charles Dubout

Object classification and detection aim at recognizing and localizing objects in real-world images. They are fundamental computer vision problems and a prerequisite for full scene understanding. Their difficulty lies in the large number of possible object ...

Programme doctoral en Informatique, Communications et Information2013

Mirror Match: Reliable Feature Point Matching Without Geometric Constraints

Sabine Süsstrunk, Stefan Winkler

Many algorithms have been proposed to solve the problem of matching feature points in two or more images using geometric assumptions to increase the robustness of the matching. However, these assumptions do not always hold; in particular, few methods addre ...

2013