Optimal omnidirectional sensor for urban traffic diagnosis in crossroads

Ghorayeb, Ali; Potelle, Alex; Devendeville, Laure Brisoux; Mouaddib, El Mustapha

doi:10.1109/ivs.2010.5548029

Cited by 5 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nonetheless, other mirror shapes can be designed for specific applications. For instance, a pyramidshaped mirror magnifies the four exits of a roundabout in order to monitor traffic diagnosis in crossroads (Ghorayeb et al 2010). When this mirror is placed at the center of the roundabout, at a height of 9 meters from the ground, each face of the pyramid views a different road.…”

Section: Catadioptric Cameras With Static Propertiesmentioning

confidence: 99%

A Survey on Adaptive Cameras

Ducrocq,

Caron

2024

Int J Comput Vis

View full text Add to dashboard Cite

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

show abstract

Section: Catadioptric Cameras With Static Propertiesmentioning

confidence: 99%

A Survey on Adaptive Cameras

Ducrocq,

Caron

2024

Int J Comput Vis

View full text Add to dashboard Cite

show abstract

“…Several methods exist to design a static mirror shape to capture scene regions with a desired resolution, e.g. with vector fields [20] or polynomial functions [21].…”

Section: Mirror Shape Optimizationmentioning

confidence: 99%

“…On the one hand, optimized mirrors are made once, e.g. to be put in cars for the driver gaze check while observing the surrounding road [20], or to be put at the center of crossroads for traffic monitoring [21]. On the other hand, existing DM-based adaptive cameras are aimed to capture astrophotographs [18] or retinal images [23], requiring a µm-scale stroke at high frequency.…”

Section: Mirror Shape Optimizationmentioning

confidence: 99%

Visadapt: Catadioptric adaptive camera for scenes of variable density of visual information

Ducrocq,

Caron,

Midavaine

et al. 2023

Appl. Opt.

View full text Add to dashboard Cite

This paper presents the design method of a multi-resolution camera, named Visadapt. It is made of a conventional compact camera with a sensor and a lens pointed to a new deformable mirror so that the mirror in a flat state is parallel to the image plane. The main novelty of the latter mirror, to our knowledge, is the ability to control automatically strokes of several millimeters. This allows Visadapt to capture scenes with a spatially variable density of visual information. A grid of linear actuators, set underneath the mirror surface, deforms the mirror to reach the desired shape computed to capture several areas of different resolutions. Mechanical simulations are allowed to iterate on Visadapt’s design, to reduce the geometrical distortions in the images. Evaluations made on an actual prototype of Visadapt show that, by adapting the mirror shape, this camera can magnify a scene object up to 20%, even off-centered in the field-of-view, while still perceiving the rest of the scene.

show abstract

“…We also used our own sequence (5 mirrors sequence) from a previous work (Ghorayeb et al [11]) where a camera coupled with 5 mirrors is observing a crossroad with a high point of view. As the camera is placed at the top of a 9 meters mast, the wind involves a really important jitter.…”

Section: Test Sequencesmentioning

confidence: 99%

Dynamic background subtraction using moments

Marie

Potelle

Mouaddib

2011

2011 18th IEEE International Conference on Image Processing

Self Cite

View full text Add to dashboard Cite

Detection of moving objects is known to be a critical first step in many vision-based applications such as video surveillance. Background Subtraction Algorithms (BSA) offer a solution to detect all foreground pixels in a frame by comparing them with a background model. However, this is still a very challenging task especially when dynamic scenes are involved (camera jitter, noise, etc).In this paper, we present a new method for dynamic background subtraction operation based on invariant moments (Hu Set). Each pixel is modeled as a set of moments calculated from its neighborhood and stored using codebook construction. Experimental results on a set of outdoor scenes show that our method outperforms traditional BSA.

show abstract

Optimal omnidirectional sensor for urban traffic diagnosis in crossroads

Cited by 5 publications

References 11 publications

A Survey on Adaptive Cameras

A Survey on Adaptive Cameras

Visadapt: Catadioptric adaptive camera for scenes of variable density of visual information

Dynamic background subtraction using moments

Contact Info

Product

Resources

About