Temat: Viola-Jones - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Rozpoznawanie obiektów w obrazie wideo z kamery do komputera
Object recognition on video from camera to computer
Autorzy:: Cherednyk, Oleksandr
Miłosz, Elżbieta
Powiązania:: https://bibliotekanauki.pl/articles/98062.pdf
Data publikacji:: 2018
Wydawca:: Politechnika Lubelska. Instytut Informatyki
Tematy:: Viola-Jones
gesty
rozpoznawanie
gestures
recognition
Opis:: Celem artykułu jest określenie skuteczności wykrywania obiektu w obrazie wideo za pomocą kamery internetowej. W trakcie pracy zostały zbadane i opisane podstawowe metody rozpoznawania obiektów na zdjęciu, a mianowicie wykorzystanie sztucznych sieci neuronowych i metod Viola-Jones. Do przeprowadzenia eksperymentów, na podstawie metody Viola-Jones, realizowano aplikację do rozpoznawania obiektów na wideo. Za pomocą tej aplikacji, przeprowadzono badanie w celu określenia skuteczności metody Viola-Jones do wykrywania obiektów na wideo.
The goal is to determine the effectiveness of object detection in a video using the camera for the computer. In the course of work studied and described the main methods of recognition of objects in the image, namely the use of artificial neural networks and techniques of Viola-Jones. For the study, based on the method of Viola-Jones, implemented the application for object recognition in video, as this method is effective for solving this problem. With this application, a study was conducted to determine the effectiveness of the method of viola-Jones to detect objects in the video.
Źródło:: Journal of Computer Sciences Institute; 2018, 8; 215-219
2544-0764
Pojawia się w:: Journal of Computer Sciences Institute
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Research on human silhouette detection methods for a non-cooperative biometric system
Autorzy:: Kacperski, D.
Włodarczyk, M.
Grabowski, K.
Powiązania:: https://bibliotekanauki.pl/articles/397871.pdf
Data publikacji:: 2015
Wydawca:: Politechnika Łódzka. Wydział Mikroelektroniki i Informatyki
Tematy:: biometrics
human silhouette detection
noncooperative detection
Viola-Jones
histogram of gradients
background subtraction
biometria
detekcja sylwetki człowieka
histogram gradientów
odejmowanie tła
Opis:: Together with the development of effective and efficient people identification algorithms, biometric authentication systems become increasingly popular and widespread, leading to a significant growth in the number of institutions interested in implementing and using such systems. Although, several research works focused their efforts on these type of solutions, none of the commonly available systems provide a non-cooperative approach to object identification. For this reason, they are not suitable for use in some specific situations, such as people entering the stadium. Therefore, we decided to go up against these limitations and develop biometric identification system for less constrained scenarios. In this paper, we present an evaluation of different algorithms suitable for human silhouette detection in such environment. We focus on investigating their effectiveness and performance under unconstrained conditions, such as different lighting.
Źródło:: International Journal of Microelectronics and Computer Science; 2015, 6, 1; 10-13
2080-8755
2353-9607
Pojawia się w:: International Journal of Microelectronics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Music Playlist Generation using Facial Expression Analysis and Task Extraction
Autorzy:: Sen, A.
Popat, D.
Shah, H.
Kuwor, P.
Johri, E.
Powiązania:: https://bibliotekanauki.pl/articles/908868.pdf
Data publikacji:: 2016
Wydawca:: Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:: facial expression analysis
emotion recognition
feature extraction
viola jones face detection
gabor filter
adaboost
k-NN algorithm
task extraction
music classification
playlist generation
Opis:: In day to day stressful environment of IT Industry, there is a truancy for the appropriate relaxation time for all working professionals. To keep a person stress free, various technical or non-technical stress releasing methods are now being adopted. We can categorize the people working on computers as administrators, programmers, etc. each of whom require varied ways in order to ease themselves. The work pressure and the vexation of any kind for a person can be depicted by their emotions. Facial expressions are the key to analyze the current psychology of the person. In this paper, we discuss a user intuitive smart music player. This player will capture the facial expressions of a person working on the computer and identify the current emotion. Intuitively the music will be played for the user to relax them. The music player will take into account the foreground processes which the person is executing on the computer. Since various sort of music is available to boost one's enthusiasm, taking into consideration the tasks executed on the system by the user and the current emotions they carry, an ideal playlist of songs will be created and played for the person. The person can browse the playlist and modify it to make the system more flexible. This music player will thus allow the working professionals to stay relaxed in spite of their workloads.
Źródło:: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2016, 16, 2; 1-6
1732-1360
2083-3628
Pojawia się w:: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:: Biblioteka Nauki

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