{"title":"Fast and efficient geometric constraints optimization for an automatic 3D modelling","authors":"Afafe Annice, A. Abderrahmani, K. Satori","doi":"10.1109/ATSIP.2017.8075554","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075554","url":null,"abstract":"We present our 3D models reconstructed based on geometric constraints. Used constraints in 3D reconstruction are frequently inaccurate. In fact, we detect an important set of theme, which one can we choose as input of reconstruction method? So, redundancies, cycles and inaccurate 3D model present a challenge to overcome. It is therefore necessary to “beautify” constraint and to elaborate an accurate 3D model before use in reconstruction systems. We present in our work a new method of 3D model elaboration. So, we remove redundancies; cycles and we bring a safe and final 3D model with an optimal freedom degree of estimated parameters. Our reconstruction algorithm first prioritizes the constraint detection. User can add them manually or through an automatic process. But the important thing is to avoid 3D modeling step which is very challenging. To detect and eliminate redundant and inconsistent constraints use freedom degree analysis. Results from our implementation show that the method can beautify and optimize recovered 3D models correctly at acceptable speed","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116850715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Imad Iala, Mourad Ouadou, D. Aboutajdine, O. Zytoune
{"title":"Energy based collision avoidance at the MAC layer for wireless sensor network","authors":"Imad Iala, Mourad Ouadou, D. Aboutajdine, O. Zytoune","doi":"10.1109/ATSIP.2017.8075611","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075611","url":null,"abstract":"A Wireless Sensor Network (WSN) is a network of thousands of low-cost sensors which have a limited operating lifetime. A sensor node generally comprises four basic elements, including a transceiver unit, a detection unit, a processing unit, and an energy supply unit. One of the major challenges in the WSN is to increase the network life-time. Since the transmitting/receiving unit has the highest energy consumption, reducing it increases the network life-time significantly. In this work, we propose to differentiate resources or services in order to provide high performances of Quality of Service (QoS) to the prioritized node, since the Medium Access Control (MAC) layer is considered as the responsible that manages the access to the transmission channel. Therefore, we need to manage the quality of service of this layer in order to give high chance to nodes with a lower energy level to get access to the tranmission channel to send the data before their batteries run out. In this article, we present a new technique called Energy based Collision Avoidance (ECA-MAC), that handles WSN energy constraints and the QoS designed for versatile applications. ECA-MAC protocol aims at controlling the access to the medium according to nodes energy level and at reducing the collision using different Contention Windows (CW). Our simulation results show that ECA-MAC protocol improves the QoS in terms of Packet Delivery Ratio (PDR), message latency, and energy consumption.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134439690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visual tracking of a moving object via the soft cosine measure","authors":"Driss Moujahid, O. Elharrouss, H. Tairi","doi":"10.1109/ATSIP.2017.8075521","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075521","url":null,"abstract":"In this paper, we propose a Local Soft Similarity based on Soft Cosine Measure (L3SCM) and then we incorporate it into visual tracking framework. Firstly, we present the soft cosine measure that measures the soft similarity between two vectors of features by taking into consideration similarities of pairs of features. Secondly, we apply this soft similarity in the observation model component of the proposed tracker to measure the local similarities between the template of the tracked target and the sampled candidates. Finally, in order to improve the robustness of the proposed tracker, we integrate a simple scheme to update the target template throughout the tracking process. Experimental results on several challenging image sequences illustrate that the proposed method performs better against several state-of-the-art trackers.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123869117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Latachi, M. Karim, A. Hanafi, T. Rachidi, Ahmed Khalayoun, N. Assem, S. Dahbi, S. Zouggar
{"title":"Link budget analysis for a LEO cubesat communication subsystem","authors":"I. Latachi, M. Karim, A. Hanafi, T. Rachidi, Ahmed Khalayoun, N. Assem, S. Dahbi, S. Zouggar","doi":"10.1109/ATSIP.2017.8075571","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075571","url":null,"abstract":"Communication links between a satellite and the ground station are subject to a lot of impairments and losses, such as noise and atmospheric attenuations, and Doppler shift effects. It is therefore paramount to design a reliable link that caters for these impairments. The main challenge is to design a communication subsystem that provides enough transmission power to close the link, while being power efficient and at the same time delivering the required link characteristics in terms of effective bit rate and bit error rate. In this paper, we present a link budget analysis for communication between a nano-satellite orbiting at LEO and a low cost mission control ground station. The analysis employs relevant deterministic, empirical, and statistical models as prediction tools, to make pertinent choices for both the flight nano-satellite compliant communication board, on the one hand and the ground station hardware and link protocols, on the other hand.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121099150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdellah El Kamili, A. Tribak, J. Terhzaz, A. Mediavilla
{"title":"Design and simulation of a multiband orthomodetransducer in k/Ka band for satellite communications","authors":"Abdellah El Kamili, A. Tribak, J. Terhzaz, A. Mediavilla","doi":"10.1109/ATSIP.2017.8075540","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075540","url":null,"abstract":"This paper describes the design and simulation of a waveguide multiband Orthomode Transducer (OMT) from 15 to 32 Ghz. The OMT is based on a symmetric backward coupling structure and has a square common waveguide input port and two single mode rectangular waveguide outputs. The coupling structure is located in the common rectangular waveguide and stepped to get the desired operating bands. The device was designed and optimized using Mician μwave wizard and CST Microwave Studio. From 15 to 33 GHz the simulated input return loss was about 30 dB, the isolation between the output ports was better than 40 dB. The circuit is designed regarding standard waveguide technology to meet feed chain requirement for antenna in satellite communications in wideband frequencies.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126781224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohamed Hamidi, M. Haziti, H. Cherifi, D. Aboutajdine
{"title":"A robust blind 3-D mesh watermarking based on wavelet transform for copyright protection","authors":"Mohamed Hamidi, M. Haziti, H. Cherifi, D. Aboutajdine","doi":"10.1109/ATSIP.2017.8075525","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075525","url":null,"abstract":"Nowadays, three-dimensional meshes have been extensively used in several applications such as, industrial, medical, computer-aided design (CAD) and entertainment due to the processing capability improvement of computers and the development of the network infrastructure. Unfortunately, like digital images and videos, 3-D meshes can be easily modified, duplicated and redistributed by unauthorized users. Digital watermarking came up while trying to solve this problem. In this paper, we propose a blind robust watermarking scheme for three-dimensional semiregular meshes for Copyright protection. The watermark is embedded by modifying the norm of the wavelet coefficient vectors associated with the lowest resolution level using the edge normal norms as synchronizing primitives. The experimental results show that in comparison with alternative 3-D mesh watermarking approaches, the proposed method can resist to a wide range of common attacks, such as similarity transformations including translation, rotation, uniform scaling and their combination, noise addition, Laplacian smoothing, quantization, while preserving high imperceptibility.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122189923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiscale approach for skin lesion analysis and classification","authors":"Y. Filali, A. Ennouni, M. A. Sabri, A. Aarab","doi":"10.1109/ATSIP.2017.8075545","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075545","url":null,"abstract":"Skin cancer is one of the most deadly cancers in the world. If not diagnosed in early stages it might be hard to cure. This paper suggests a new approach for automatic segmentation and classification of skin lesion for dermoscopic images. The segmentation is based on a pre-processing; using the color structure-texture image decomposition to decompose a textured image into texture and geometrical components. Geometrical component is used in the lesion segmentation and the texture component is used to extract the lesion texture features. Feature classification is performed using the Support Vector Machine (SVM) classifier. The efficiency and the performance of the proposed approach are evaluated in comparison with recent and robust dermoscopic approaches from literature.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116457450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Feriel Boudamous, H. Nemmour, Yasmine Serdouk, Y. Chibani
{"title":"An-open system for off-line handwritten signature identification and verification using histogram of templates and SVM","authors":"Feriel Boudamous, H. Nemmour, Yasmine Serdouk, Y. Chibani","doi":"10.1109/ATSIP.2017.8075594","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075594","url":null,"abstract":"Offline signature identification and verification systems encounter several challenges such as the diversity of signatories and the limited number of references. To address these problems we propose a new writer-independent system for signature identification and verification. Besides, a new feature generation scheme is proposed by using the Histogram Of Templates (HOT). The identification and verification step is performed by SVM. Experiments are conducted on a standard dataset which contains off-line signatures of 55 persons. The results obtained are very promising.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122763968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pedestrian group attributes detection in crowded scenes","authors":"Nuhu Aliyu Shuaibu, A. Malik, I. Faye, Y. Ali","doi":"10.1109/ATSIP.2017.8075584","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075584","url":null,"abstract":"Recently the traditional video surveillance systems of crowd scenes have been deployed in various areas of applications; health monitoring, security etc. Monitoring crowds and identifying their behaviors is one of the most interesting applications of visual surveillance as it is very difficult to assess crowds by human experts. In this paper, we present inter-group and intra-group properties of crowd scene; namely, we investigated collectiveness, stability, uniformity and conflict properties of crowds. A collective transition algorithm is used for crowd scene detection and segmentation. Based on this algorithm, a set of visual descriptors are extracted to quantify the group properties. The descriptors convey deeper scene information and can be effectively deploy in large crowd scene. Experiments on hundreds of crowd scenes videos were carried out on publicly available datasets. Quantitative evaluation shows that linear SVM display superior accuracy, precision, recall and F-measure in classifying human behaviors when compared to a k-nearest neighbor (kNN), and Decision Tree (DT) classifiers.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132802621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clever use of Meyer wavelet for iris recognition","authors":"I. Kallel, Sonda Ammar Bouhamed, Belhassen Akrout","doi":"10.1109/ATSIP.2017.8075515","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075515","url":null,"abstract":"An iris recognition requires parametric modeling texture. The extracted model should characterize the individual corresponding to considered iris. Such a model is often referred to as biometric signature. Several approaches to uniquely specify an iris by extracting parameters characteristic of its texture exist in the literature. An original approach based on an analysis by the Meyer wavelet of the iris texture is detailed in this paper. A comparative study between our approach and some techniques that have been studied, implemented and tested in subsequent work is carried out on the CASIA V.1 database. The experimental results show that the proposed method has promising performances.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115355146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}