Cyril Meurie

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The problem described in this paper consists in re-identifying moving people in different sites which are completely covered with non-overlapping cameras. Our proposed framework relies on the spectral classification of the appearance-based signatures extracted from the detected person in each sequence. We first propose a new feature called(More)
In this paper, a new learning method is proposed to build Support Vector Machines (SVM) Binary Decision Function (BDF) of reduced complexity, efficient generalization and using an adapted hybrid color space. The aim is to build a fast and efficient SVM classifier of pixels. The Vector Quantization (VQ) is used in our learning method to simplify the training(More)
The combination of classifiers has been proposed as a method allowing to improve the quality of recognition systems as compared to a single classifier. This paper describes a segmentation scheme based on a combination of pixel classifications. The aim of this paper is to show the influence of the neighborhood information and of the number of classifiers(More)
In this paper, we propose a new multi-scale image seg-mentation relying on a hierarchy of partitions. First of all, we review morphological methods based on connections which produce hierarchical image segmentations and introduce a new way of generating fine segmentations. From connection-based fine partitions, we focus on producing hierarchical(More)
We present in this paper a system for passengers counting in buses based on stereovision. The objective of this work is to provide a precise counting system and adapted to buses environment. The processing chain corresponding to this counting system involves several blocks dedicated to the detection, segmentation, tracking and counting. From original(More)
In this article, the color space influence on different methods of morphological hierarchical segmentation is studied. For this purpose, several experimental studies are carried out on hundred images of the ' 'Berkeley Segmentation Dataset and Benchmark'' (Berkeley). On one hand, four usual and representative color spaces (RGB, YC b C r , L*a*b*, IHSL) are(More)
In this paper, we present a novel strategy for roof segmentation from aerial images (orthophotoplans) based on the cooperation of edge- and region-based segmentation methods. The proposed strategy is composed of three major steps. The first one, called the pre-processing step, consists of simplifying the acquired image with an appropriate couple of(More)