Temat: video tracking - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Automatic estimation of the brightness changes for background suppression methods used for video tracking of vehicles
Autorzy:: Okarma, K.
Mazurek, P.
Powiązania:: https://bibliotekanauki.pl/articles/393475.pdf
Data publikacji:: 2012
Wydawca:: Polskie Stowarzyszenie Telematyki Transportu
Tematy:: analiza obrazów
video śledzenie
automatyczna estymacja
image analysis
video tracking
automatic estimation
Opis:: One of the typical distortions in the background estimation methods is a change of lighting conditions, since each such change influences on the luminance of pixels in the captured images, which may be classified as the background. The global changes are relatively easy to compensate, but in practical applications the character of most of such changes is rather local. These changes may be caused e.g. by clouds, moving large objects, street lamps etc. Nevertheless, their influence on the results of the background estimation should be reduced therefore a local adaptive correction algorithm, applied as the pre-processing step, is proposed in the paper, assuming known geometrical configuration of the observed road
Źródło:: Archives of Transport System Telematics; 2012, 5, 4; 17-20
1899-8208
Pojawia się w:: Archives of Transport System Telematics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Nonlinear background estimation methods for video vehicle tracking systems
Autorzy:: Okarma, P.
Mazurek, P.
Powiązania:: https://bibliotekanauki.pl/articles/393826.pdf
Data publikacji:: 2011
Wydawca:: Polskie Stowarzyszenie Telematyki Transportu
Tematy:: estymacja tła
lokalizacja pojazdów
inteligentny system transportowy
background estimation
video tracking
intelligent transport system (ITS)
Opis:: One of the major advantages of the video cameras' usage for tracking of vehicles is to reduce the costs of Intelligent Transport Systems. However, this requires the development of software techniques allowing an automatic extraction of the vehicle or group of vehicles from the current video frame, which is possible by using the background estimation methods, assuming a fixed camera installed over or at the side of the road. Background estimation based on the linear image filtering algorithms can be performed by averaging a certain number of video frames. However, this technique is relatively slow, which complicates its use, especially in variable lighting conditions. The paper presents an alternative background estimation technique, utilised for its further replacement, based on the nonlinear image filtering algorithms.
Źródło:: Archives of Transport System Telematics; 2011, 4, 4; 42-48
1899-8208
Pojawia się w:: Archives of Transport System Telematics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: People tracking in video surveillance systems based on artificial intelligence
Autorzy:: Nasry, Abir
Ezzahout, Abderrahmane
Omary, Fouzia
Powiązania:: https://bibliotekanauki.pl/articles/27314232.pdf
Data publikacji:: 2023
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: person tracking
person detection
person identification
video surveillance
artificial intelligence
Opis:: As security is one of the basic human needs, we need security systems that can prevent crimes from happen‐ ing. In general, surveillance videos are used to observe the environment and human behavior in a given location. However, surveillance videos can only be used to record images or videos, without additional information. There‐ fore, more advanced cameras are needed to obtain other additional information such as the position and move‐ ment of people. This research extracted this information from surveillance video footage using a person tracking, detection, and identification algorithm. The framework for these is based on deep learning algorithms, a popu‐ lar branch of artificial intelligence. In the field of video surveillance, person tracking is considered a challenging task. Many computer vision, machine learning, and deep learning techniques have been developed in recent years. The majority of these techniques are based on frontal view images or video sequences. In this work, we will compare some previous work related to the same topic.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2023, 17, 1; 59--68
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Integrated and deep learning–based social surveillance system : a novel approach
Autorzy:: Litoriya, Ratnesh
Ramchandani, Dev
Moyal, Dhruvansh
Bothra, Dhruv
Powiązania:: https://bibliotekanauki.pl/articles/27314204.pdf
Data publikacji:: 2022
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: Video Surveillance
object detection
object tracking
YOLO v4 algorithm
OpenCV
Opis:: In industry and research, big data applications are gaining a lot of traction and space. Surveillance videos contribute significantly to big unlabelled data. The aim of visual surveillance is to understand and determine object behavior. It includes static and moving object detection, as well as video tracking to comprehend scene events. Object detection algorithms may be used to identify items in any video scene. Any video surveillance system faces a significant challenge in detecting moving objects and differentiating between objects with same shapes or features. The primary goal of this work is to provide an integrated framework for quick overview of video analysis utilizing deep learning algorithms to detect suspicious activity. In greater applications, the detection method is utilized to determine the region where items are available and the form of objects in each frame. This video analysis also aids in the attainment of security. Security may be characterized in a variety of ways, such as identifying theft or violation of covid protocols. The obtained results are encouraging and superior to existing solutions with 97% accuracy.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 30--39
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Inland waterway vessels tracking using closed circuit television
Autorzy:: Kujawski, A.
Powiązania:: https://bibliotekanauki.pl/articles/135539.pdf
Data publikacji:: 2015
Wydawca:: Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:: inland shipping
image and video processing
tracking objects
CCTV surveillance
vessel positioning
safety of inland navigation
Opis:: The aim of this paper is to use closed-circuit television (CCTV) to search and track moving objects in inland waterways. The area of the analysis is the part of the West Odra river between the Długi and Kolejowy bridges in Szczecin. The points of interest are chosen intentionally due to the risk of vessel collision with bridges. The results of the research into the implemented methods of tracking objects could be utilized in the future to extend inland navigation services, which could be used by the captains of the ships and River Information Services operational personnel as well.
Źródło:: Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2015, 44 (116); 135-140
1733-8670
2392-0378
Pojawia się w:: Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Analiza użyteczności interfejsów wybranych serwisów streamingowych w Polsce
Interface usability analysis of selected streaming services in Poland
Autorzy:: Nankiewicz, Paweł
Niemczuk, Mateusz
Plechawska-Wójcik, Małgorzata
Powiązania:: https://bibliotekanauki.pl/articles/24083453.pdf
Data publikacji:: 2022
Wydawca:: Politechnika Lubelska. Instytut Informatyki
Tematy:: użyteczność WWW
dostępność WWW
okulografia
ocena heurystyczna
platformy VoD
usability
accessibility
eye tracking
expert review
video on demand
Opis:: Celem niniejszej pracy jest dokonanie analizy jakości interfejsu wybranych serwisów udostępniających usługę wideo na życzenie na polskim rynku internetowym. Ocenie poddano interfejsy trzech serwisów: Netflix, Amazon Prime Video oraz Player. Ewaluację przeprowadzono, wykorzystując analizę ekspercką, badanie okulograficzne oraz ocenę dostępności internetowym narzędziem WAVE. Na potrzeby badania postawiono tezę badawczą wśród trzech badanych interfejsów portali streamingowych, serwis Netflix posiada najbardziej użyteczny interfejs. W wyniku przeprowadzonej ewaluacji trzema metodami badawczymi została ona potwierdzona
The aim of this paper is to analyse the interface quality of selected services providing video-on-demand on the Polish internet market. Interfaces of three services were evaluated (Netflix, Amazon Prime Video, and Player). The evaluation was conducted using an expert review, an eye-tracking study, and an accessibility assessment using the WAVE web tool. For the study, a research thesis was established – Netflix has the most usable interface among the three streaming portal interfaces studied. As a result of the evaluation of three research methods, the thesis has been confirmed.
Źródło:: Journal of Computer Sciences Institute; 2022, 25; 371--378
2544-0764
Pojawia się w:: Journal of Computer Sciences Institute
Dostawca treści:: Biblioteka Nauki

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