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International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
2-5 Sept. 2020
Showing 1-25 of 101
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Advanced Technologies for Signal and Image Processing (ATSIP), 2020 5th International Conference on
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A new features vector matching for big heterogeneous data in intrusion detection context
Publication Year: 2020,Page(s):1 - 5
Nowadays, the volume of data considerably increasing, the data is exploding on the scale of the Exabyte and the Zettabyte at an exceptionally high rate. These can be characterized as big data. Hence, the security of the network, Internet, websites, Iot devices and the organizations, of this growth is indispensable. Detecting intrusions in such a big heterogeneous data environment is challenging. I...Show More
Case-Based Reasoning: Problems And Importance Of Similarity Measure
Ikram Chourib;Gwenael Guillard;Makram Mestiri;Basel Solaiman;Imed Riadh Farah
Publication Year: 2020,Page(s):1 - 6
Cited by: Papers (2)
This article attempts to provide an overview of the basic concepts, structure and terms related to case-based reasoning, because we aim to work on an evolution of the CBR process which allows us to integrate the knowledge base, ensure the consistency of information, integrate the modes of reasoning: similarity, classification and hybrid. In addition, this article discusses the concept and issues r...Show More
Possibilistic BRISK method for an efficient registration (PBRISK)
Wissal BEN MARZOUKA;Basel SOLAIMAN;Atef HAMMOUDA;Zouhour BEN DHIEF;Khaled BSAIES
Publication Year: 2020,Page(s):1 - 6
Cited by: Papers (2)
This paper aims to present a possibilistic registration method using BRISK. BRISK method is a key point detector and descriptor. It is rotation and scale invariant, but it takes more time to detect the feature points and it suffers from the high number of outliers. The main idea of the proposed method is to apply the theory of possibilities for extracting primitives to obtaining an efficient regis...Show More
Robust GPS/Galileo/GLONASS Data Fusion Using Extended Kalman Filter
Tan Truong-Ngoc;Ali Khenchaf;Fabrice Comblet;Pierre Franck;Jean-Marc Champeyroux;Olivier Reichert
Publication Year: 2020,Page(s):1 - 4
This paper presents data fusion from multiple Global Navigation Satellite System (GNSS) constellations. GNSS brings more signals and more satellites to improve the accuracy of user's position. However, multiple failures in satellite's signals sometimes negatively impact the determination of the user's position and should be considered. For this purpose, the present paper provides robust Extended K...Show More
Generation of fuzzy evidence numbers for the evaluation of uncertainty measures
Samia Barhoumi;Imene Khanfir Kallel;Sonda Ammar Bouhamed;Eloi Bossé;Basel Solaiman
Publication Year: 2020,Page(s):1 - 6
Cited by: Papers (5)
Uncertainty is an important dimension to consider to evaluate the quality of information. In real world, information tends, usually, to be uncertain, vague and imprecise leading to different types of uncertainty, such as randomness, ambiguity and imprecision. Methods to quantify uncertainty, will help to quantify information quality. This paper presents a general measure of uncertainty framed into...Show More
Binary hierarchical multiclass classifier for uncertain numerical features
Marwa Chakroun;Amal Charfi;Sonda Ammar Bouhamed;Imene Khanfir Kallel;Basel Solaiman;Houda Derbel
Publication Year: 2020,Page(s):1 - 6
Real-world multiclass classification problems involve moderately high dimensional inputs with a large number of class labels. As well, for most real-world applications, uncertainty has to be handled carefully, unless the classification results could be inaccurate or even incorrect. In this paper, we investigate a binary hierarchical partitioning of the output space in an uncertain framework to ove...Show More
Data and information quality assessment in a possibilistic framework based on the Choquet Integral
Sonda Ammar Bouhamed;Hatem Dardouri;Imene Khanfir Kallel;Eloi Bossé;Basel Solaiman
Publication Year: 2020,Page(s):1 - 6
Cited by: Papers (1)
Designing methods for assessment of data and information quality is a relatively new and rather difficult problem. This paper presents a new approach for data and information quality assessment in the possibilistic framework based on Choquet Integral. The aim is not only to estimate data or information quality but also to differentiate between two quality degrees that are very close. The methodolo...Show More
Combined Optical Coherence Tomography and Ultrasound assisted analysis for retinal detachment in morning glory syndrome
Marwa Hani;Amine Ben Slama;Nesrine Slokom;Hedi Trabelsi;Imen Zghal;Ezeddine Sediki
Publication Year: 2020,Page(s):1 - 4
Optical imaging for biological tissue is of great interest in the biomedical field because of its many qualities. the use of the waves between the visible and the infrared makes the optical imaging noninvasive and non-destructive. The diffusion of a large part of the light propagating in such objects represents a huge handicap since a long time. The recent application of low coherence interferomet...Show More
In real life, people treat with their interlocutors face-to-face. In virtual life, our interlocutors are behind the walls of internet, and we do not whether they are human beings or programs. Thus, an issue of identity rises. Special attention is given to on-line banking since it is a delicate issue. We propose a hybrid software/hardware solution to overcome this problem of identity identification...Show More
The Design, by Physical Topology Optimizing, of a Passive UHF RFID Identification System: Suitable for Applications with Various Constraints
Publication Year: 2020,Page(s):1 - 6
Cited by: Papers (1)
RFID technology is booming. It catches the attention of several researchers. This technology uses the radio wave to identify objects on which an RFID tag is placed. RFID has a lot of advantages, but it also has limitations. Its limits are its sensitivity to liquids, metals and speed. We design an objects identification system by radio frequency that works in different RFID technology application e...Show More
The Secured AES designs against Fault Injection Attacks: A comparative Study
Publication Year: 2020,Page(s):1 - 4
To protect the Advanced Encryption Standard (AES) against physical attacks known as fault injection attacks various fault detection schemes have been proposed. In this paper, a comparative study between the most well-known fault detection schemes in terms of fault detection capabilities and implementation cost has been proposed. In the considered study we implement, separately, the hardware, the t...Show More
A Hardware-Software Codesign Case Study: The SHA3-512 algorithm Implementation on the LEON3 Processor
Mouna Karmani;Noura Benhadjyoussef;Belgacem Hamdi;Mohsen Machhout
Publication Year: 2020,Page(s):1 - 5
With the ever-increasing role that software is playing in embedded systems, software performance is one of the embedded system implementation goals. In this paper we consider the software cryptographic hash-functions implementation on hardware platforms. In fact, Hash functions are used in several information-security applications like message authentication codes, digital signatures and other for...Show More
Lightweight Hardware Architectures for the Piccolo Block Cipher in FPGA
Publication Year: 2020,Page(s):1 - 4
Cited by: Papers (8)
The Piccolo block cipher is a lightweight block encryption for hardware use. Hardware devices are equipped with limited computation resources and small memory. In this paper, we propose an implementation to carry out through several trade-offs between area and speed. We implemented the Piccolo block cipher algorithm with 128-bit key in two different architectures on FPGA: the iterative and the 4-b...Show More
Multi-band Frequency Reconfigurable Planar Bow-tie Antenna
Publication Year: 2020,Page(s):1 - 6
Cited by: Papers (4)
A multi-band frequency reconfigurable planar bow-tie antenna is designed and simulated in this paper. Firstly, a self-complementary bow-tie antenna is designed and implemented; this antenna is characterized by a simple feeding. It is directly matched to the SMA connector via 50Ω micro-strip feed line. Second, a rectangular slot and a PIN diode are added to adjust electronically the bow-tie antenna...Show More
Multi-Object tracking based on Kalman Filtering Combining Radar and Image Measurements
Publication Year: 2020,Page(s):1 - 6
Cited by: Papers (1)
The purpose of this paper is to develop a tracking system. The designed platform is based on two kinds of physical sensors: a doppler radar module and HD Camera. All the measurements from those modules are processed using a data fusion method. In this work, a method based on the Gaussian mixture model is used for foreground detection (i.e. background subtraction). After that our move to a filterin...Show More
Vehicle detection for intelligent traffic surveillance system
Publication Year: 2020,Page(s):1 - 5
Cited by: Papers (1)
Due to the dramatical grow of road transport, Advanced Driver Assistance Systems (ADAS) are being one of the most popular system. The main challenge of these systems is to improve driving safety and reduce accidents. Robust and effective vehicle detection is a critical step. However, vehicle detection meets many difficulties such as complex background, different size, model and orientations of veh...Show More
Deep CNN-based Pedestrian Detection for Intelligent Infrastructure
Bilel Tarchoun;Imen Jegham;Anouar Ben Khalifa;Ihsen Alouani;Mohamed Ali Mahjoub
Publication Year: 2020,Page(s):1 - 6
Cited by: Papers (11)
Autonomous driving systems and driver assistance systems are becoming the center of attention in transport technology. Given its safety criticality, pedestrian detection is a highly important task. Transport oriented intelligent systems use embedded sensors for the detection task. However, vehicle side detection is starting to show its limitations especially when dealing with certain challenges su...Show More
A Dual Watermarking Approach for DICOM Images
Mayssa Tayachi;Laurent Nana;Faouzi Benzarti;Anca Christine Pascu
Publication Year: 2020,Page(s):1 - 6
Cited by: Papers (2)
In this paper, we come up with a new watermarking method combining a zero-watermarking approach with a non-zero-watermarking approach for the purpose of authentication and identification of medical DICOM images, as well as the confidentiality of patient information. Indeed, the storage and transmission of medical images need strong confidentiality, authentication and integrity. In the proposed app...Show More
Demographic Face Profiling Based on Age, Gender and Race
Asma El Kissi Ghalleb;Safa Boumaiza;Najoua Essoukri Ben Amara
Publication Year: 2020,Page(s):1 - 6
User profiling has lately got much interest and has been increasingly used in various fields of applications such as security, medicine, and commerce. The aim of this work is to predict a user demographic profile based on soft biometric modalities, namely the age, the gender and the race, for the authentication of suspicious people. We propose different types of characteristics based on global and...Show More
Water turbidity estimation in water sampled images
Publication Year: 2020,Page(s):1 - 5
Cited by: Papers (4)
This paper tackles the problem of estimating water turbidity by analyzing images. This computer-vision solution avoids to resort to use specific laboratory instruments and, hence facilitates the water characterization in situ. Our contribution consists in designing a whole image processing chain composed of pre-processing, segmentation, feature extraction and classification modules. The second ori...Show More
Ultrasound Water Leakage Image Denoising By The Iterative Mmse Filter Abstract
Mohamed Yahia;Md Maruf Mortula;Ameen Awwad;Lutfi Albasha;Tarig Ali
Publication Year: 2020,Page(s):1 - 5
Cited by: Papers (4)
Ultrasound imaging finds many applications in water environments. The water leakage milieu is considered in this study. However, the ultrasound images are contaminated by speckle noise which damages its quality. It complicates diagnosis and quantitative and visual measurements. In this work, the iterative minimum mean square error (IMMSE) method has been extended for de-speckling of ultrasound ima...Show More
Structure relationship classification for the recognition of mathematical expression handwritten in Arabic
Publication Year: 2020,Page(s):1 - 6
Cited by: Papers (1)
An essential issue for the recognition of handwritten mathematical formulas is the identification of the structural relationships between each pairs of adjacent symbols that compose the entire mathematical formula. The classification of the structural relationship is a key problem as this classification often determines the semantic interpretation of an expression. In this work, we propose a syste...Show More
Fast pore matching method based on core point alignment and orientation
Houda Khmila;Imene Khanfir Kallel;Samia Barhoumi;Nadia Smaoui;Houda Derbel
Publication Year: 2020,Page(s):1 - 6
Cited by: Papers (2)
Nowadays, high-resolution fingerprint images are more and more used in the fingerprint recognition systems thanks to the recognition accuracy that they provide. Indeed, they offer more sufficient details such as sweat pores, ridges, contours, and other details. Pores have been adopted to be one of the brilliant nominees in improving the efficiency of automated fingerprint identification systems to...Show More
pedestrian detection for advanced driving assisting system: a transfer learning approach
Publication Year: 2020,Page(s):1 - 5
Cited by: Papers (13)
Pedestrian detection is an important task that must be integrated into an advanced driving assisting system (ADAS). For a pedestrian detection task many rules must be respected like high performance, real-time processing, and lightweight size to fit into the embedded device of the ADAS. In this paper, we propose a pedestrian detection system based on a convolutional neural network (CNN). CNN is a ...Show More
Recognizing signs and doors for Indoor Wayfinding for Blind and Visually Impaired Persons
Mouna Afif;Riadh ayachi;Yahia Said;Edwige Pissaloux;Mohamed Atri
Publication Year: 2020,Page(s):1 - 4
Cited by: Papers (10)
Indoor signage plays an essential component to find destination for blind and visually impaired people. In this paper, we propose an indoor signage and doors detection system in order to help blind and partially sighted persons accessing unfamiliar indoor environments. Our indoor signage and doors recognizer is builded based on deep learning algorithms. We developed an indoor signage detection sys...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Advanced Technologies for Signal and Image Processing (ATSIP), 2020 5th International Conference on
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