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François Collange

dblp:26/3642 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 62% Autonomous driving · 19% Video understanding and tracking · 19%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Integrated circuit design · 50% Hardware accelerators and domain-specific architectures · 50%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing
0.012001
Object Tracking with a Pan Tilt Zoom Camera application to car driving assistance · ICRA 2001
Robotics › Autonomous driving
perception
0.012001
Object Tracking with a Pan Tilt Zoom Camera application to car driving assistance · ICRA 2001
Computer vision › Video understanding and tracking › object tracking
vehicle tracking
0.012001
Object Tracking with a Pan Tilt Zoom Camera application to car driving assistance · ICRA 2001
Integrated circuit design
digital circuit design
0.011990
A Bit Plane Architecture For An Image Analysis Processor Implemented With P.L.C.A. Gate Array · ECCV 1990
Hardware accelerators and domain-specific architectures › image processing accelerator
image analysis accelerator
0.011990
A Bit Plane Architecture For An Image Analysis Processor Implemented With P.L.C.A. Gate Array · ECCV 1990

Methods — techniques the papers use, named apart from their topics

visual servoing · 0.0real-time target tracking · 0.0gate array · 0.0bit plane architecture · 0.0
YearPublicationVenuePosition
2001 Object Tracking with a Pan Tilt Zoom Camera application to car driving assistance
abstract
In this paper, visual perception in car driving assistance is considered. The work deals with the development of a system combining a pan-tilt-zoom (PTZ) camera and a standard camera, in order to track the front vehicles. The standard camera has a small focal length, and is devoted to the analyse of the whole frontal scene. Here, the PTZ camera is used to track the closest vehicle. Camera rotations and zoom are controlled by visual servoing and by an efficient real time target tracking algorithm. The aim of this work is to keep the rear view image of target vehicle stable in scale and position. The methods presented were tested on real road sequences within the VELAC demonstration vehicle. Experimental results show the effectiveness of such an approach.
Xavier Clady, François Collange, Frédéric Jurie, Philippe Martinet
ICRA2
1990 A Bit Plane Architecture For An Image Analysis Processor Implemented With P.L.C.A. Gate Array
Jean-Claude Klein, François Collange, Michel Bilodeau
ECCV2