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Real-Time Vehicle Type Detection and Counting from Road Camera Video
P. 92-98.
Denis Zuenko, Makarov I.
In this paper, we study automatic recognition and counting of vehicles in the wild. For this problem, we tested several object detection models for car type recognition among five classes: Bicycle, Bus, Car, Motorcycle, Truck, Van. We extend existing dataset in order to balance classes and achieve classification quality for detected cars with 92% mAP
In book
Vol. 2795. , CEUR Workshop Proceedings, 2020
Provorova A., Polyakova I., Kuzmicheva E., Научная визуализация 2023
Machine methods of image analysis are gaining more and more popularity in various spheres of life. However, the question remains how effective such algorithms are on low-quality data, for example, such as those that can be used in the field of telemedicine.The paper provides a comparative analysis of various approaches to detecting objects in photographs ...
Added: November 9, 2023
Figurnov M., Collins M., Zhu Y. et al., / Cornell University. Series arXiv "arXiv:1612.02297". 2016.
This paper proposes a deep learning architecture based on Residual Network that dynamically adjusts the number of executed layers for the regions of the image. This architecture is end-to-end trainable, deterministic and problem-agnostic. It is therefore applicable without any modifications to a wide range of computer vision problems such as image classification, object detection and ...
Added: December 12, 2016
Statsenko M., Ортопедия, травматология и восстановительная хирургия детского возраста 2020 Т. 8 № 3 С. 317-326
Background. A large number of studies have focused on automating the process of measuring the Cobb angle. Although there is no practical tool to assist doctors with estimating the severity of the curvature of the spine and determine the best suitable treatment type.Aim. We aimed to examine the algorithms used for distinguishing vertebral column, vertebrae, ...
Added: November 18, 2022
Сливницин П. А., Mylnikov L., Информатика и автоматизация (Труды СПИИРАН) 2023 Т. 22 № 3 С. 511-540
The paper’s goal is to develop a methodology and algorithm for the recognition of objects in the environment, keeping the quality with an increasing number of objects. For this purpose, the following problems were solved: recognition of the shape features, estimation of relations between features, and matching between the found features and relations and the ...
Added: May 24, 2023
Makarov I., Bakhanova M., Nikolenko S. et al., PeerJ Computer Science 2022 Vol. 8 Article e865
Depth estimation has been an essential task for many computer vision applications, especially in autonomous driving, where safety is paramount. Depth can be estimated not only with traditional supervised learning but also via a self-supervised approach that relies on camera motion and does not require ground truth depth maps. Recently, major improvements have been introduced ...
Added: February 1, 2022
М. : Торус Пресс, 2018
The volume contains the abstracts of the 12th International Conference "Intelligent Data Processing: Theory and Applications". The conference is organized by the Russian Academy of Sciences, the Federal Research Center "Informatics and Control" of the Russian Academy of Sciences and the Scientific and Coordination Center "Digital Methods of Data Mining". The conference has being held biennially since 1989. It is one ...
Added: October 9, 2018
Zlatev Z. D., Nedeva V. I., , in : Математика программных систем: межвузовский сборник научных трудов. Вып. 10.: Пермь : Пермский государственный национальный исследовательский университет, 2013. P. 133-139.
The report presents methodology for studying the qualitative and quantitative parameters of quail eggs. The method and system of computer vision are developed. The probability estimations of the health risk from consumption of poor quality food can be determined with developed computer system. ...
Added: May 23, 2015
Cham : Springer, 2018
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018. The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; ...
Added: October 31, 2018
Meshchaninov V., Ватолин Д. С., Молодецких И. А. et al., Препринты ИПМ им. М.В. Келдыша 2022 № 80 С. 14-27
Upscaled video detection is a helpful tool in multimedia forensics, but it’s a challenging task that involves various upscaling and compression algorithms. There are many resolution-enhancement methods, including interpolation and deep-learning-based super-resolution, and they leave unique traces. In this work, we propose a new upscaled-resolutiondetection method based on learning of visual representations using contrastive and ...
Added: May 23, 2023
NY : Springer, 2020
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic.
The 1360 revised papers presented in these proceedings were ...
Added: October 28, 2020
Los Alamitos, Washington, Tokyo : IEEE Computer Society, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision ...
Added: October 1, 2015
Belov A. V., Belykh M., Tofayli S., , in : PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTERDISCIPLINARY RESEARCH IN TECHNOLOGY AND MANAGEMENT (IRTM, 2021). : CRC Press, 2021. Ch. 32. P. 199-203.
The article deals with the problem of collecting information about railway traffic lights located on the territory of the Russian Federation. To solve this problem, a trained neural network is used that detects railway traffic lights in high-definition images. These images were taken by a camera installed on a train carriage, continuously photographing the area ...
Added: July 15, 2021
Belykh M. Vladimirovna, Belov A. Vladimirovich, , in : 2022 International Conference on Interdisciplinary Research in Technology and Management, IRTM 2022 - Proceedings. : IEEE, 2022. P. 1-4.
Added: July 15, 2022
Springer, 2018
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.
The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; ...
Added: October 30, 2018
Баиндурашвили, А. Г., [б.и.], 2020
Background. A large number of studies have focused on automating the process of measuring the Cobb angle. Although there is no practical tool to assist doctors with estimating the severity of the curvature of the spine and determine the best suitable treatment type.Aim. We aimed to examine the algorithms used for distinguishing vertebral column, vertebrae, ...
Added: November 18, 2022
IEEE, 2020
Added: October 3, 2020
Protasov S., Крыловецкий А. А., Кургалин С. Д., Известия ЮФУ. Технические науки 2012 № 6 С. 144-148
This article is devoted to the method of initial image processing to use in stereovision systems. It is based on a modification of video stabilization approach [1]. The method considers image rectification process as a sequence of transformations. Each transformation is found as a solution of optimization problem. The article describes mathematical model that fits ...
Added: October 16, 2017
Piscataway : IEEE, 2020
2020 International Joint Conference on Neural Networks (IJCNN) held virtually, as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) 2020. IJCNN 2020 is jointly organized by the IEEE Computational Intelligence Society (CIS) and the International Neural Network Society (INNS). For IJCNN 2020 (and when WCCI is organized in even-numbered years) IEEE CIS ...
Added: October 15, 2020
Morozova T., Авиакосмическое приборостроение 2013 № 5 С. 46-56
The article is devoted to the history and problems of creating interfaces. Shows the complexity and importance of effective interfaces, noted that this problem is a system of multilevel interdisciplinary. The new systems should be given serious attention to issues of human efficiency level. Man is still the leading element in determining the efficiency of ...
Added: December 6, 2013
Osokin A., Sumin D., Lomakin V., , in : Computer Vision – ECCV 2020; 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XV. Vol. 12360.: NY : Springer, 2020. P. 635-652.
In this paper, we consider the task of one-shot object detection, which consists in detecting objects defined by a single demonstration. Differently from the standard object detection, the classes of objects used for training and testing do not overlap. We build the one-stage system that performs localization and recognition jointly. We use dense correlation matching ...
Added: October 28, 2020
Arkhipova M., Экономика региона 2022 Т. 18 № 2 С. 581-594
The article examines new methodologies for modelling crop yield in agricultural regions of Russia based on the use of remote capabilities to get information on the field state. The proposed approach can be applied to develop indicator systems and create methodological platforms and models necessary to obtain more accurate estimates. In comparison with the traditional ...
Added: January 12, 2023
Kirillov A., Gavrikov M., Lobacheva E. et al., , in : Proceedings of the 27th British Machine Vision Conference. : -, 2016. P. 1-12.
The Shape Boltzmann Machine (SBM) and its multilabel version MSBM have been recently introduced as deep generative models that capture the variations of an object shape. While being more flexible MSBM requires datasets with labeled parts of the objects for training. In the paper we present an algorithm for training MSBM using binary masks of ...
Added: February 24, 2017
Сучков Е. П., Алексеенко Г. О., Налчаджи К. В., Интеллектуальные системы. Теория и приложения 2022 Т. 26 № 1 С. 250-254
Currently, video surveillance systems are becoming more
widespread. One of the main goals of such systems is to control and
track a person’s movement. The solution of this problem allows us
to solve such applied problems as tracking the occupancy of various
premises (whether shopping facilities or educational and cultural
institutions), creating a motion heatmap or organizing control of access
to ...
Added: January 31, 2023