This paper presents stereo vision–based vehicle detection approach on the road using a
road feature and disparity histogram. It is not easy to detect only vehicles robustly on the …

In this paper, we presented a comparison between different approaches of person re-
identification in camera network based on the-state-of-the-art. We studied the different …

In this paper, we introduce objects detection optical sensors (CCD sensor: Charge Coupled
Device). For autonomous robot, the location of around-object is very important because …

In this paper, we present a method for background modeling using only keypoints, and
detection of foreground moving pedestrians using background keypoints substraction …

With the development of video-protection, the number of cameras deployed is increasing
rapidly. To effectively exploit these videos, it is essential to develop tools that automate …

Performing sentiment analysis on text document is an active research area. Socialmedia
includes valuable information resources in various languages, which encompassreviews …

In this paper, we propose a forward vehicle detection algorithm using column detection and
bird's-eye view map** based on stereo vision. The algorithm can detect forward vehicles …

Résumé Avec le développement de la vidéo-‐protection, le nombre de caméras déployées
augmente rapidement. Pour exploiter efficacement ces vidéos, il est indispensable de mettre …

Cette thèse s' inscrit dans le contexte de la vision embarquée pour la détection et la
reconnaissance d'obstacles routiers, en vue d'application d'assistance à la conduite …