2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)最新文献_第9页

Hiding Sensitive Information in Surveillance Video without Affecting Nefarious Activity Detection 在不影响恶意活动检测的情况下隐藏监控视频中的敏感信息

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760607

Sonali Rout, R. Mohapatra

{"title":"Hiding Sensitive Information in Surveillance Video without Affecting Nefarious Activity Detection","authors":"Sonali Rout, R. Mohapatra","doi":"10.1109/AISP53593.2022.9760607","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760607","url":null,"abstract":"Protection of private and sensitive information is the most alarming issue for security providers in surveillance videos. So to provide privacy as well as to enhance secrecy in surveillance video without affecting its efficiency in detection of violent activities is a challenging task. Here a steganography based algorithm has been proposed which hides private information inside the surveillance video without affecting its accuracy in criminal activity detection. Preprocessing of the surveillance video has been performed using Tunable Q-factor Wavelet Transform (TQWT), secret data has been hidden using Discrete Wavelet Transform (DWT) and after adding payload to the surveillance video, detection of criminal activities has been conducted with maintaining same accuracy as original surveillance video. UCF-crime dataset has been used to validate the proposed framework. Feature extraction is performed and after feature selection it has been trained to Temporal Convolutional Network (TCN) for detection. Performance measure has been compared to the state-of-the-art methods which shows that application of steganography does not affect the detection rate while preserving the perceptual quality of the surveillance video.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"162 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74792465","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}

引用次数: 0

Next-gen traffic rule violation detection using optimum feature extraction techniques on highway and toll tax using Raspberry-pi hardware 基于树莓派硬件的高速公路和收费税的新一代交通规则违规检测

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760531

Manishkumar Purohit, Arvind R. Yadav, Roshan Kumar, Manish Kumar, Sandeep Dhariwal, J. Kumar

{"title":"Next-gen traffic rule violation detection using optimum feature extraction techniques on highway and toll tax using Raspberry-pi hardware","authors":"Manishkumar Purohit, Arvind R. Yadav, Roshan Kumar, Manish Kumar, Sandeep Dhariwal, J. Kumar","doi":"10.1109/AISP53593.2022.9760531","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760531","url":null,"abstract":"Across the globe, vehicle collision on roads results in the death/disabilities of people. Moreover, it results in substantial monetary burden to the concerened people and other stakeholdes. Generally, the accidents take place due to ignorance while crossing the lane and use of electronic gadgets. Government is spending a lot of money to create awareness and encourage people to follow traffic rules. Over the last two decades, significant reserach has been carrried out in traffic management system. Generally, sensor based methods are utilized to track traffic violations. These methods need appropriate infrastructure. In this work, authors have proposed a machine-vision based method to recognize the traffic rule(s) violators on highways and at toll tax plazas with the help of some important descriptors of the images and classification algorithms. This paper presents a feature extraction based system for lane and traffic rule voiation detection and tracking using low cost Raspberry Pi hardware.The experimental work suggest that, Grab cut and Hough transform techniques performed better on test image dataset to identify vehicle lane on highways. Further, combination of RootSIFT with Flann-index matcher gives superior results (accuracy of 95.3%) as compared to other feature extraction and matchers on the given dataset for detection of traffic rule violation and tracking of vehicles. The average computation time of 0.13s for the obtained results. Further, Haarcascade algorithm was used to detect mobile phone usage while riding vehicle and achieved 91% accuracy on collected datset on Raspberry pi 2(B) hardware and further vehicles detected in traffic rule violation undergoes for license plate detection and challan generation to penalize the on defaulters.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"16 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87079249","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}

引用次数: 1

Defect Detection Using Fan Chirp Transform using Quadratic Frequency Modulated Thermal Wave Imaging 二次调频热波成像的风扇啁啾变换缺陷检测

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760566

M. Muzammil Parvez, M.Lakshmana Kumar, R. Ravindran, R. Anirudh, Lokam Nithin Bharadwaj, Chella Santhosh, Thondam Sri Ravi Teja, R.G.N Vardhan Reddy

{"title":"Defect Detection Using Fan Chirp Transform using Quadratic Frequency Modulated Thermal Wave Imaging","authors":"M. Muzammil Parvez, M.Lakshmana Kumar, R. Ravindran, R. Anirudh, Lokam Nithin Bharadwaj, Chella Santhosh, Thondam Sri Ravi Teja, R.G.N Vardhan Reddy","doi":"10.1109/AISP53593.2022.9760566","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760566","url":null,"abstract":"Lifetime of the material is important in various fields of applications. Aerospace, mosaics, and metallic objects serving in realistic applications in day today life. Materials possessing greater defect have low lifetime when compared with materials having smaller defects. So it’s important to check the detects in order to have a knowledge of material’s lifetime different detection techniques are performed to find subsurface anomalies. In this research investigation a non-contact, and Quadratic Frequency Modulated thermal wave imaging technique (QFMTWI) is used to evaluate the whole field of the material with more reliable information. The recorded thermal response provides the information regarding cracks, voids, irregularities present in the material’s sub-surface. Fan Chirp transform method is adopted. It is a method which matches completely with the chirp rate obtained from the sample to facilitate improved visualization of defects. Fan-Chirp transform method provides a noteworthy defect detection of the sample.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"33 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86402160","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}

引用次数: 0

PAPR reduction using a Precoder and Compander combination in a NOMA-OFDM VLC system 在NOMA-OFDM VLC系统中使用预编码器和压缩器组合来降低PAPR

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760659

N. Sharan, S. Ghorai, Ajit Kumar

引用次数: 2

Real-time monitoring system for attendance and attentiveness in virtual classroom environments 虚拟课堂环境下的出勤和注意力实时监控系统

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760690

Rishav Jaiswal, Akarsh K. Nair, Jayakrushna Sahoo

{"title":"Real-time monitoring system for attendance and attentiveness in virtual classroom environments","authors":"Rishav Jaiswal, Akarsh K. Nair, Jayakrushna Sahoo","doi":"10.1109/AISP53593.2022.9760690","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760690","url":null,"abstract":"With the outbreak of the COVID-19 pandemic, classroom environments have been subjected to revolutionary changes via the employment of virtual classrooms and allied technological advancements. The traditional methodologies are proving to be inefficient in such an environment for teaching as well as managerial tasks. Also considering their cumbersome nature, the need for a newer, stronger, and better model is evident. As of now, many Deep Learning techniques have been employed for the purpose, ranging from the usage of standard object detection APIs or even CNNs and their variants. Our study proposes a model based on SVM embedded on top of embedding vectors combined with a Single-shot detector for real-time monitoring of attendance and attentiveness of students in a virtual classroom set up making use of video feed. A small comparative study between the proposed model and dlib, a standard library for the purpose as well is performed. The results show that our model outperforms dlib methodology significantly with high accuracy and performance efficiency. We had done experimentations on the fer2013 dataset particularly for emotion detection and custom datasets in general. Even though the model performs well in our experimentations, the need for a stronger and better dataset is high for evaluating the model and implementing it in real-life scenarios.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"33 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82186078","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}

引用次数: 0

IoT Based V2I Framework For Accident Prevention 基于物联网的事故预防V2I框架

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760623

Hitesh Mohapatra, A. K. Dalai

引用次数: 1

Supervised Machine Learning Approaches for Medical Data Classification 医疗数据分类的监督机器学习方法

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760688

A. K. Dalai, A. K. Jena, B. Ramana, B. Maneesha, Nibedan Panda

引用次数: 1

A Simple Miniaturized Flower Patch Antenna using Meander Lines for X & K Bands 一种用于X和K波段的弯曲线的简单小型化花贴片天线

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760557

Puja Acharya, J. Kumar, Vineet Dahiya

{"title":"A Simple Miniaturized Flower Patch Antenna using Meander Lines for X & K Bands","authors":"Puja Acharya, J. Kumar, Vineet Dahiya","doi":"10.1109/AISP53593.2022.9760557","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760557","url":null,"abstract":"This paper proposes an Ultra-Wide Band antenna with multiple bands for satellite and radar communications. A miniaturized meander antenna is proposed, and its design is presented and simulated. The design incorporates a flower type patch antenna and a half planar ground surface using metamaterial. The antenna has a substrate size of 20mm x 20mm with a total thickness of 1.588 mm. By using FR4 epoxy as substrate, antenna resonates at 10.77GHz and 19.00GHz. This paper addresses a simple design methodology for the multiband microstrip patch antenna by using meander lines. This paper also shows the effects on the use of meander lines on the patch antenna. The antenna, so designed suggests a unique structure in which slot is used to propagates multiband frequencies. In this technique, a rectangular MPA is designed, then circular slot is imposed on top of the radiating patch. The results such as return loss, surface charge density, radiation pattern is obtained and discussed. The antenna is simulated on HFSS and results like gain, VSWR, radiation efficiency and radiation pattern are investigated.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"13 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81549228","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}

引用次数: 3

A Study on Secret Data Sharing through Coverless Steganography 基于无覆盖隐写技术的秘密数据共享研究

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760680

Sourabh Debnath, R. Mohapatra

{"title":"A Study on Secret Data Sharing through Coverless Steganography","authors":"Sourabh Debnath, R. Mohapatra","doi":"10.1109/AISP53593.2022.9760680","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760680","url":null,"abstract":"The basic fundamental of steganography is to conceal the confidential data in designated cover media which will carry the secret message in such a way that no one can suspect it. With the increase in multimedia content over the net, the probability of information being theft is increased. To make confidential communication secure, people choose different data hiding techniques. Recently, steganography has gained popularity in information hiding. Information hiding is a subject that manages the concealing of classified data from attackers and hackers. Though the secret messages are not visible to human eyes but can be noticeable under statistical representation of cover media. The coverless hiding technique doesn’t modify the cover object. However, the cover object is used to transfer confidential data. A mapping relationship is created among cover objects and confidential data by following the characteristics of cover media. The term “coverless” is without any modification in the cover image the confidential data can be sent. The prime advantage of using a coverless approach is, it cannot be detected under steganalysis as no embedding is performed in cover media. This technique has drawn more attention in the data hiding field. Currently, it has been observed that most of the research work in coverless hiding approaches selected text and image as cover media. A very few researchers have considered video as cover media in coverless approach which has plentiful contents and provides the opportunity to explore.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"20 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73965373","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}

引用次数: 3

Crack identification from concrete structure images using deep transfer learning 基于深度迁移学习的混凝土结构图像裂缝识别

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760670

Amena Qadri Syed, J. Jothi, K. Anusree

引用次数: 0