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December 2008 - May 2016
Publications
Publications (34)
Human detection plays a pivotal role in many vision-based applications. Effectively detecting humans across diverse environments and situations significantly contributes to enhancing human safety. However, this effectiveness encounters challenges, particularly in hazy conditions that reduce visibility and blur images, thereby impacting the accuracy...
Plastic waste has become a pressing global concern in recent decades, posing significant challenges to our environment due to its non-biodegradable nature and causing significant pollution and damage to our planet. Recycling plastic waste is one of the most effective solutions to this dilemma, which is why the aim of our project was to create a sys...
Plastic waste has become a pressing global concern in recent decades, posing significant challenges to our environment due to its non-biodegradable nature and causing significant pollution and damage to our planet. Recycling plastic waste is one of the most effective solutions to this dilemma, which is why the aim of our project was to create a sys...
Cardiac rhythm disorders (arrhythmias) are one of the leading causes of death worldwide. Therefore, the detection and classification of arrhythmias are essential for diagnosing patients with cardiac abnormalities. With new technologies, we can see the opening of medical institutions toward health information technology systems. To give researchers...
Advanced Driver-Assistance Systems (ADAS) are becoming more and more topical projects for researchers. Their goal is to help people drive their cars easily. The increasing number of accidents reveals the great need of humans for human assistance by machines. In this paper, we propose a new framework using a single camera to detect text in natural s...
With the high rate of accidents and crimes around the world, the importance of video surveillance is growing every day and intelligent surveillance systems are being developed to perform surveillance tasks automatically. Detecting human beings accurately in a visual surveillance system is crucial for diverse application areas. The first step in the...
It is necessary to provide essential daily support for the visually impaired, allowing them to locate themselves in an underground station, to change trains, to read signboards like those in doctors offices, law firms, shops, etc. In this paper, we present a Reading Signboards System (called RSbS) based on Pseudo Zernike Moments (PZMs) and stroke f...
This paper presents a robust and accurate method for textual information extraction over video frames. Text has to be located and successfully discriminated from his background and other scene objects. Extraction is a challenging task due to varieties degradations related to environmental changes, acquisition conditions in addition to characteristi...
In recent years, there has been rapid development in the research area of the car's driving assistance. Deep learning was used to solve different problems, such as object detection, visual recognition, speech recognition and handwriting recognition and was achieved a very good performance. In deep learning, Convolutional Neural Networks (ConvNets o...
In recent years, there has been rapid development in the research area of deep learning. Deep learning was used to solve different problems, such as visual recognition, speech recognition and handwriting recognition and was achieved a very good performance. In deep learning, Convolutional Neural Networks (ConvNets or CNNs) are found to give the mos...
In this paper we present how to insert a watermark in the magnitude coefficients of the discrete Fourier transform of an image. In our case, the watermark is not an information, but it is a geometric shape inserted in the magnitude matrix. We evaluated the robustness of the proposed method using a dataset of 8460 different images. We used detection...
Security problems and decreasing costs, leads to the rapid development of video surveillance systems. It is necessary to implement analytical tools capable of identifying objects that may appear in the video sequence. The work presented in this article consists of designing a video surveillance system for the automatic detection of humans in a vide...
Text information embedded in videos is an important clue for images and videos
retrieval and indexation. Scene text presents challenging characteristics mainly related to
acquisition circumstances and environmental changes resulting low quality videos. In this
paper, we present a scene text detection algorithm based on Pseudo Zernike Moments
(PZMs)...
This paper aims to address the assessment the similarity between documents or pieces of documents. For this purpose we have developed CASISS (CAlculation of SImilarity of Semi-Structured documents) method to quantify how two given texts are similar. The method can be employed in wide area of applications including content reuse detection which is a...
This work is in the field of video surveillance including motion detection. The video surveillance is one of essential techniques for automatic video analysis to extract crucial information or relevant scenes in video surveillance systems. The aim of our work is to propose solutions for the automatic detection of moving objects in real time with a...
This work is located in the domain of distributed information retrieval (DIR). A simplified view of the DIR requires a multi-search in a set of collections, which forces the system to analyze results found in these collections, and merge results back before sending them to the user in a single list. Our work is to find a fusion method based on the...
Video indexing is a necessary process to assist the browsing of visual information stored in large multimedia databases and allow an efficient retrieval based on content. A principal phase of this process is video segmentation. This paper presents a new method of video sequence segmentation. Unlike existing methods, in the proposed method, the auth...
The holy Quran is sacred book of Muslims. The use of this book is very frequent either for reading, for memorization or for the search of a verse of Quran dealing with a particular subject. Muslims find difficulties in the use of this book in his audio format and especially in the search for a verse. For this, and to help Muslims, we focus our work...
This paper propose a based CASIT [5] audio retrieval model. CASIT method is developed for our text information retrieval system witch gives good results. We have extended the CASIT method to the video and audio applications. In this paper we present its application in the audio content-based retrieval. The adapted method is called CASIA (in French:...
The information plays an inevitable role in the handling systems of numerical data existing today. The amount of information handled by various organizations in the world today is high and its management without the computer is no longer imaginable. Information Retrieval (IR) is a research area in computer science whose goal is to facilitate access...
With the appearance of semi-structured documents, such as XML documents, information retrieval has been challenging due to the introduction of the structural information known by his complex presentation. The system of information research must organize, store information and then provide the documents which correspond to user information needs. Th...
This paper presents a new method of video sequence segmentation. The principal aim of our approach is the detection of cuts suites in a video sequence (boundaries of transactions). The method is based on two thresholds which allow the localization of transactions suites in a video sequence.
This paper describes CASIT model (CAlculation of SImilarity of Text). Starting from a coarse confrontation of text documents, based on the Latent Semantic Indexing model (LSI), CASIT method calculates in a finer way, the rate of similarity between model documents of text and others which are confronted to them. Our approach takes into account the n...
This paper presents a new video sequence segmentation method. The principal aim of our approach is the detection of cuts suites in a video sequence. The method is based on two thresholds which allow the localization of transactions suites in a video sequence.