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Alexandre Massoud Alahi

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Publications associées (121)

CAR-Net: Clairvoyant Attentive Recurrent Network

Alexandre Massoud Alahi

We present an interpretable framework for path prediction that leverages dependencies between agents' behaviors and their spatial navigation environment. We exploit two sources of information: the past motion trajectory of the agent of interest and a wide ...

2018

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Alexandre Massoud Alahi, Agrim Gupta

Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments. This is challenging because human motion is inherently multimodal: given a histor ...

2018

Long-term path prediction in urban scenarios using circular distributions

Alexandre Massoud Alahi

Human ability to foresee the near future plays a key role in everyone's life to prevent potentially dangerous situations. To be able to make predictions is crucial when people have to interact with the surrounding environment. Modeling such capability can ...

2018

Learning nuisances to track pedestrians in autonomous vehicles

Alexandre Massoud Alahi, George Adaimi

2018

Learning nuisances to track pedestrians in autonomous vehicles

Alexandre Massoud Alahi, George Adaimi

Autonomous vehicles rely on an accurate perception module. One of the fundamental challenges is to efficiently track pedestrians surrounding a vehicle to anticipate risky situations. Over the past decades, researchers have formulated the tracking problem a ...

2018

Robust Real-time Pedestrians Detection in Urban Environments with a Network of Low Resolution Cameras

Michel Bierlaire, Pierre Vandergheynst, Alexandre Massoud Alahi

Detecting that pedestrians are present in front of a vehicle is highly desirable to avoid dangerous traffic situations. A novel vision-based system is presented to automatically detect far-away pedestrians with low-resolution cameras mounted in vehicles gi ...

Elsevier2014

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

System and method for media library navigation and recommendation

Pierre Vandergheynst, Alexandre Massoud Alahi, Kirell Maël Benzi

The invention relates to a system and method to optimize navigation and recommendation in a distributed network of media libraries. According to the invention, it is proposed a system and a method to assist the selection of media items comprising the steps ...

2014

Foreground Silhouette Extraction robust to Sudden Changes of background Appearance

Pierre Vandergheynst, Alexandre Massoud Alahi, Damien Colin Matti, Luigi Bagnato

Vision-based background subtraction algorithms model the intensity variation across time to classify a pixel as foreground. Unfortunately, such algorithms are sensitive to appearance changes of the background such as sudden changes of illumination or when ...

2012

FREAK: Fast Retina Keypoint

Pierre Vandergheynst, Alexandre Massoud Alahi, Raphaël Ortiz

A large number of vision applications rely on matching keypoints across images. The last decade featured an arms-race towards faster and more robust keypoints and association algorithms: Scale Invariant Feature Transform (SIFT), Speed-up Robust Feature (SU ...

Ieee2012

Beyond Bits: Reconstructing Images from Local Binary Descriptors

Pierre Vandergheynst, Alexandre Massoud Alahi, Emmanuel D'Angelo

Local Binary Descriptors (LBDs) are good at matching image parts, but how much information is actually carried? Surprisingly, this question is usually ignored and replaced by a comparison of matching performances. In this paper, we directly address it by t ...

2012

SCOOP: A Real-Time Sparsity Driven People Localization Algorithm

Pierre Vandergheynst, Alexandre Massoud Alahi, Mohammad Golbabaee

Detecting and tracking people in scenes monitored by cameras is an important step in many application scenarios such as surveillance, urban planning or behavioral studies to name a few. The amount of data produced by camera feeds is so large that it is als ...

Springer Verlag2012

Sparsity Driven People Localization with a Heterogeneous Network of Cameras

Pierre Vandergheynst, Alexandre Massoud Alahi, Laurent Jacques

In this paper, we propose to study the problem of localization of a dense set of people with a network of heterogeneous cameras. We propose to recast the problem as a linear inverse problem. The proposed framework is generic to any scene, scalable in the n ...

Springer Verlag2011

Vision-Based Scene Understanding with Sparsity Promoting Priors

Alexandre Massoud Alahi

Human beings are interested in understanding their environments and the dynamic content that fills their surroundings. For applications ranging from security to marketing, people have installed networks of cameras to capture the dynamic elements of scenes. ...

EPFL2011

Method and system for automatic objects localization

Pierre Vandergheynst, Alexandre Massoud Alahi, Mohammad Golbabaee

A method for automatic localization of objects in a mask. The method includes building a dictionary or atoms, wherein each atom models the presence of one object at one location and iteratively determining the atom of said dictionary which is best correlat ...

2010

Cascade of Descriptors to Detect and Track Objects Across Any Network of Cameras

Murat Kunt, Michel Bierlaire, Pierre Vandergheynst, Alexandre Massoud Alahi

Most of the multi-camera systems assume a well structured environment to detect and match objects across cameras. Cameras need to be fixed and calibrated. In this work, a novel system is presented to detect and match any objects in a network of uncalibrate ...

Elsevier2010

Stream Carving: an Adaptive Seam Carving Algorithm

Pierre Vandergheynst, Alexandre Massoud Alahi, Daniel Domingues

We propose a new content-aware image resizing scheme, "Stream Carving", which is based on the well-known seam carving method. Our algorithm may introduce larger seams in the retargeted image, i.e. seams with a width larger than one pixel, that we call "str ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Sparsity-driven People Localization Algorithm: Evaluation in Crowded Scenes Environments

Pierre Vandergheynst, Alexandre Massoud Alahi, Laurent Jacques

We propose to evaluate our sparsity driven people localization framework on crowded complex scenes. The problem is recast as a linear inverse problem. It relies on deducing an occupancy vector, i.e. the discretized occupancy of people on the ground, from t ...

2009

Object Detection and Matching with Mobile Cameras Collaborating with Fixed Cameras

Murat Kunt, Michel Bierlaire, Alexandre Massoud Alahi

A system is presented to detect and match any objects with mobile cameras collaborating with fixed cameras observing the same scene. No training data is needed. Various object descriptors are studied based on grids of region descriptors. Region descriptors ...

2008

System and Method for Measuring Performances of Surveillance Systems

Alexandre Massoud Alahi

A computer implemented method measures a performance of surveillance system. A site model, a sensor model and a traffic model are selected respectively from a set of site models, a set of sensor models, and a set of traffic models to form a surveillance mo ...

2008

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