Publications de Jérôme Berclaz

Multi-Commodity Network Flow for Tracking Multiple People

Pascal Fua, François Fleuret, Jérôme Berclaz, Horesh Beny Ben Shitrit

In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a multi-commodity network flow problem. Our proposed framework is designed to exploit image appearance cues to prevent identity switches. Our method is effe ...

Institute of Electrical and Electronics Engineers2014

Method and apparatus for multiple object tracking with k-shortest paths

Pascal Fua, François Fleuret, Jérôme Berclaz

Trajectories of objects are estimated by determining the optimal solution(s) of a tracking model on the basis of an occupancy probability distribution. The occupancy probability distribution is the probability of presence of objects over a set of discrete ...

2013

Tracklet-based Multi-Commodity Network Flow for Tracking Multiple People

Pascal Fua, François Fleuret, Horesh Beny Ben Shitrit, Jérôme Berclaz

(EN)A method for continuously tracking multiple people partitioned into groups while preserving identities under global appearance constraints, wherein people's trajectories may intersect, and wherein only sparse appearance information is available is disc ...

WO2013

Multiple Object Tracking using K-Shortest Paths Optimization

Pascal Fua, François Fleuret, Engin Türetken, Jérôme Berclaz

Multi-object tracking can be achieved by detecting objects in individual frames and then linking detections across frames. Such an approach can be made very robust to the occasional detection failure: If an object is not detected in a frame but is in previ ...

Institute of Electrical and Electronics Engineers2011

Tracking Multiple People under Global Appearance Constraints

Pascal Fua, François Fleuret, Jérôme Berclaz, Horesh Beny Ben Shitrit

In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a convex global optimization problem. Our proposed framework is designed to exploit image appearance cues to prevent identity switches. Our method is effect ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Pedestrian localization, tracking and behavior analysis from multiple cameras

Jérôme Berclaz

Video surveillance is currently undergoing a rapid growth. However, while thousands of cameras are being installed in public places all over the world, computer programs that could reliably detect and track people in order to analyze their behavior are not ...

EPFL2010

Image-Based Mobile Service: Automatic Text Extraction and Translation

Jérôme Berclaz

We present a new mobile service for the translation of text from images taken by consumer-grade cell-phone cameras. Such capability represents a new paradigm for users where a simple image provides the basis for a service. The ubiquity and ease of use of c ...

Society of Photo-Optical Instrumentation Engineers2010

Principled Detection-by-Classification from Multiple Views

Pascal Fua, François Fleuret, Jérôme Berclaz

Machine-learning based classification techniques have been shown to be effective at detecting objects in complex scenes. However, the final results are often obtained from the alarms produced by the classifiers through a post-processing which typically rel ...

2008

Multi-Camera People Tracking with a Probabilistic Occupancy Map

Pascal Fua, François Fleuret, Jérôme Berclaz

Given two to four synchronized video streams taken at eye level and from different angles, we show that we can effectively combine a generative model with dynamic programming to accurately follow up to six individuals across thousands of frames in spite of ...

Institute of Electrical and Electronics Engineers2008

Robust Multi-View Change Detection

Pascal Fua, François Fleuret, Jérôme Berclaz, Alessandro Lanza

We present a multi-view change detection approach aimed at being robust with respect to common “disturbance factors” yielding image changes in realworld applications. Disturbance factors causing “slow” or “fast-and-global” image variations, such as light c ...

2007