Djamel Merad

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This paper describes a new head detection method for people counting in crowded environments from a single camera. Our method adopts skeleton graph to distinguish person among people in crowded enviroments. The usage of skeleton graph is the main difference between this method and the traditional ones. Firstly, the skeleton graphs are calculated for each(More)
In this paper, we present a new method for counting people.This method is based on the head detection after asegmentation of the human body by skeleton graph process.The skeleton silhouette is computed and decomposed into aset of segments corresponding to the head , torso and limbs.This structure captures the minimal information about theskeleton shape. No(More)
Properly labeling human body parts in video sequences is essential for robust tracking and motion interpretation frameworks. We propose to perform this task by using Graph Matching. The silhouette skeleton is computed and decomposed into a set of segments corresponding to the different limbs. A Graph capturing the topology of the segments is generated and(More)
Tracking an unspecified number of people in real-time is one of the most challenging tasks in computer vision. In this paper, we propose an original method to achieve this goal, based on the construction of a 2D human appearance model. The general framework, which is a region-based tracking approach, is applicable to any type of object. We show how to(More)
In this paper, we present a new person re-identification method based on appearance classification and silhouette part segmentation. In crowded areas, heads are considered as most apparent parts, hence the typical advantage of using the skeleton graph for the head detection and location of people after partial occlusion. The appearance classification(More)
In this paper, we present a person re-identification method based on appearance classification. It consists a human silhouette comparison by characterizing and classification of a persons appearance (the frontal and the back appearance) using the geometric distance between the detected head of person and the camera. The combination of the head detector, the(More)
In this paper we present a photogrammetry-based approach for deep-sea underwater surveys conducted from a submarine and guided by knowledge-representation combined with a logical approach (ontology). Two major issues are discussed in this paper. The first concerns deep-sea surveys using photogrammetry from a submarine. Here the goal was to obtain a set of(More)
3D object recognition from 3D scenes, is one of the challenges of several researchers in the field of computer vision, engineering and Robotics. The occlusion is one of the problems that we can found. One of the possible solutions in this situation is to find a part of an object in the scene that can be identified. For this reason, we are mainly interested(More)
Façade mapping events often assign a passive role to the audience. Due to the high pace of animations, restricted length of 12--20 minutes and audience size, integrating interactive elements is difficult. We present a case study of a façade mapping event that was designed as a Gesamtkunstwerk and total experience with several elements and phases,(More)