Fast background image update in multi-touch system

Exploring the effects of background image transparency on the usability of image maps

Transactions in GIS ◽

10.1111/tgis.12805 ◽

2021 ◽

Author(s):

Qian Peng ◽

Zhilin Li ◽

Xinyu Gong

Keyword(s):

Background Image

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Road Characteristics Detection Based on Joint Convolutional Neural Networks with Adaptive Squares

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10060377 ◽

2021 ◽

Vol 10 (6) ◽

pp. 377

Author(s):

Chiao-Ling Kuo ◽

Ming-Hua Tsai

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Autonomous Vehicles ◽

Detection Accuracy ◽

Geospatial Information ◽

Combination Rules ◽

And Performance ◽

Road Characteristics ◽

Machine Readable ◽

Background Image

The importance of road characteristics has been highlighted, as road characteristics are fundamental structures established to support many transportation-relevant services. However, there is still huge room for improvement in terms of types and performance of road characteristics detection. With the advantage of geographically tiled maps with high update rates, remarkable accessibility, and increasing availability, this paper proposes a novel simple deep-learning-based approach, namely joint convolutional neural networks (CNNs) adopting adaptive squares with combination rules to detect road characteristics from roadmap tiles. The proposed joint CNNs are responsible for the foreground and background image classification and various types of road characteristics classification from previous foreground images, raising detection accuracy. The adaptive squares with combination rules help efficiently focus road characteristics, augmenting the ability to detect them and provide optimal detection results. Five types of road characteristics—crossroads, T-junctions, Y-junctions, corners, and curves—are exploited, and experimental results demonstrate successful outcomes with outstanding performance in reality. The information of exploited road characteristics with location and type is, thus, converted from human-readable to machine-readable, the results will benefit many applications like feature point reminders, road condition reports, or alert detection for users, drivers, and even autonomous vehicles. We believe this approach will also enable a new path for object detection and geospatial information extraction from valuable map tiles.

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Algorithm of Color Detection for Moving Video Objects Based on Mode Matching

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.239-240.1000 ◽

2012 ◽

Vol 239-240 ◽

pp. 1000-1003

Author(s):

Zhao Quan Cai ◽

Hui Hu ◽

Tao Xu ◽

Wei Luo ◽

Yi Cheng He

Keyword(s):

Background Subtraction ◽

Moving Objects ◽

Color Matching ◽

Human Beings ◽

Current Image ◽

Color Recognition ◽

Recognition Ability ◽

Color Identification ◽

The Difference ◽

Background Image

It is urgent to study how to effectively identify color of moving objects from the video in the information era. In this paper, we present the color identification methods for moving objects on fixed camera. One kind of the methods is background subtraction that recognizes the foreground objects by compare the difference of pixel luminance between the current image and the background image at the same coordinates. Another kind is based on the statistics of HSV color and color matching which makes the detection more similar to the color identification of the human beings. According to the experiment results, after the completion of the background modelling, our algorithm of background subtraction, statistics of the HSV color and the color matching have strong color recognition ability on the moving objects of video.

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Predicting Text Legibility over Textured Digital Backgrounds for a Monocular Optical See-Through Display

Presence Teleoperators & Virtual Environments ◽

10.1162/pres_a_00285 ◽

2017 ◽

Vol 26 (1) ◽

pp. 1-15 ◽

Cited By ~ 1

Author(s):

Vito Modesto Manghisi ◽

Michele Gattullo ◽

Michele Fiorentino ◽

Antonio Emmanuele Uva ◽

Francescomaria Marino ◽

...

Keyword(s):

Image Analysis ◽

Augmented Reality ◽

The Novel ◽

User Test ◽

User Ratings ◽

Background Image ◽

Text Legibility

Text legibility in augmented reality with optical see-through displays can be challenging due to the interaction with the texture on the background. Literature presents several approaches to predict legibility of text superimposed over a specific image, but their validation with an AR display and with images taken from the industrial domain is scarce. In this work, we propose novel indices extracted from the background images, displayed on an LCD screen, and we compare them with those proposed in literature designing a specific user test. We collected the legibility user ratings by displaying white text over 13 industrial background images to 19 subjects using an optical see-through head-worn display. We found that most of the proposed indices have a significant correlation with user ratings. The main result of this work is that some of the novel indices proposed had a better correlation than those used before in the literature to predict legibility. Our results prove that industrial AR developers can effectively predict text legibility by simply running image analysis on the background image.

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Adding a Background Image

Platform-Style Video Games with Construct ◽

10.1007/978-1-4842-4446-3_5 ◽

2019 ◽

Author(s):

Lee Stemkoski

Keyword(s):

Background Image

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A Novel Approach of Eye Detection Based on Haar-Like Feature and SVM

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.121-126.1863 ◽

2011 ◽

Vol 121-126 ◽

pp. 1863-1867

Author(s):

Yu Hang Guo ◽

Jie Liu

Keyword(s):

Support Vector ◽

Expression Recognition ◽

Generalization Capability ◽

Eye Detection ◽

Novel Approach ◽

Detection Technology ◽

Training Samples ◽

Face Detection And Recognition ◽

Fatigue Detection ◽

Background Image

Recognizing the importance of eye detection technology in face detection and recognition, facial expression recognition, driver fatigue detection, and so on, the current paper presents a novel approach to eye detection in images based on AdaBoost and the Support Vector Machine (SVM). The proposed method can accurately detect eyes with different postures, facial expressions, skin colors, and glasses in a simple background image. First, a Haar-like feature AdaBoost classifier based on the developed training samples is used to detect eyes in images. An SVM post classifier trained by coordinates of the true and pseudo eye rectangles is then used to optimize the results. Experimental results show that the proposed method is fast, robust, and has high generalization capability.

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Pygame: Develop Games using Python

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.35735 ◽

2021 ◽

Vol 9 (VI) ◽

pp. 4442-4447

Author(s):

Piyush N Shinde

Keyword(s):

Graphical Representation ◽

Simple Game ◽

Background Image ◽

Made In ◽

The Way

In this paper, we will present the process of creating a simple game(Dracula) made in Python. For the purposes of this work, we created the game Dracula using the Pygame package. The aim of this paper is to show the process of creating a game, i.e the gradual construction of each element of the game. The game was created in several phases, and we will describe and explain each in detail. We will start from the construction of the basic skeleton of the game, that is. a graphical representation of the background image window. We will gradually introduce and add new elements (heroes, enemies, bullets, levels ...) all the way to a fully built and functional game. We will point out the possibilities and limitations that arise when programming the dracula game.

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A Method of Adative Background Image Generation for Object Tracking

The KIPS Transactions PartB ◽

10.3745/kipstb.2003.10b.3.329 ◽

2003 ◽

Vol 10B (3) ◽

pp. 329-338

Keyword(s):

Object Tracking ◽

Image Generation ◽

Background Image

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PEMBERDAYAAN KELUARGA DALAM PENINGKATAN KETAHANAN KELUARGA MELALUI STRUCTURAL FAMILY COUNSELING

Community Development : Jurnal Pengembangan Masyarakat Islam ◽

10.21043/cdjpmi.v5i1.9554 ◽

2021 ◽

Vol 5 (1) ◽

pp. 21

Author(s):

Inayatul Khafidhoh

Keyword(s):

Mixed Methods ◽

Family Resilience ◽

T Test ◽

Family Counseling ◽

P Value ◽

Interaction Patterns ◽

Font Size ◽

Structural Family ◽

Family Empowerment ◽

Background Image

<span style="font-size: 11.5pt; line-height: 150%; font-family: 'Times New Roman', serif; color: #333333; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;">Abstract<span style="font-size: 11.5pt; font-family: 'Times New Roman', serif; color: #333333; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;">Family empowerment is an effort to build a better family, including related to family resilience. Family resilience means that the family is able to manage and overcome problems from a psychological, economic, social and spiritual perspective. This study aims to examine increased family resilience through structural family counseling, and to describe family empowerment in increasing family resilience through structural family counseling. This study uses a mixed methods approach with a concurrent triangulation model. The data collection methods used were questionnaires, observation and interviews. Based on the results of the T-test at the 5% significance level, to test the differences in the resilience of the respondent's family before and after treatment, the p value was obtained = 0.003, where the p value was less than α (0.05). This shows an increase in the percentage level of family resilience between before being given structural family counseling and after being given structural family counseling. Supporting factors for this increase include the openness of the respondents, the willingness and readiness of the respondent to treat, and the respondent's trust in the therapist to be involved in interaction patterns and family arrangements.<span style="font-size: 11.5pt; font-family: 'Times New Roman', serif; color: #333333; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;"> Pemberdayaan keluarga merupakan usaha utuk membangun keluarga menjadi lebih baik, diantaranya terkait ketahanan keluarga. Ketahanan keluarga berati keluarga mampu mengelola dan mengatasi permasalahn dari segi psikologis, ekonomi, sosial dan spiritual. Penelitian ini bertujuan untuk menguji peningkatan ketahanan keluarga melalui structural family counseling, dan mendeskripsikan pemberdayaan keluarga dalam peningkatan ketahanan keluarga melalui structural family counseling. Penelitian ini menggunakan pendekatan mixed methods dengan model concurrent triangulatio . Metode pengumpulan data yang digunakan adalah kuesioner, observasi dan wawancara. Berdasarkan hasil uji T-test pada taraf signifikansi 5%, untuk menguji perbedaan ketahanan keluarga responden sebelum dan sesudah dilakukan treatment, diperoleh nilai p = 0,003, dimana nilai p lebih kecil dari α (0,05). Hal ini menunjukkan terjadinya peningkatan prosentase tingkat ketahanan keluarga antara sebelum diberikan structural family counseling dengan sesudah diberikan structural family counseling. Faktor pendukung peningkatan tersebut diantaranya keterbukaan dari responden, kesungguhan dan kesiapan responden dalam treatment, dan kepercayaan responden pada terapis untuk terlibat dalam pola interkasi dan tatanan dalam keluarganya. Keyword: pemberdayaan keluarga, ketahanan keluarga, structural family counseling

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La traduction de l’article défini français en indonésien dans le roman Syngué Sabour par Atiq Rahimi

Digital Press Social Sciences and Humanities ◽

10.29037/digitalpress.43303 ◽

2019 ◽

Vol 3 ◽

pp. 00030

Author(s):

Laras Intan Taslima ◽

Sajarwa Sajarwa

Keyword(s):

Research Data ◽

Romance Languages ◽

Definite Article ◽

Sentence Structure ◽

The Novel ◽

Article System ◽

Background Image ◽

Normal Background

<p class="MsoNormal" style="text-indent: 0in; line-height: normal; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;">French article belongs to the determiner, which has an important role in French sentence structure. French is one of the Romance languages having the article system for each noun. French articles indicate the genre and the number of a noun, so that each noun should be accompanied by an article. The definite article is the main point in this research. The definite article in the novel Syngué Sabour by Atiq Rahimi is translated into Indonesian in the novel Batu Kesabaran. The translation of the novel Syngué Sabour of French into Indonesian is interesting to analyze because of differences of the determiner system both languages. The diversity of translation forms French articles in Syngué Sabour novel is the main source of this research data. The different forms of translation of the articles in French are ranked according to the form of the translation in Indonesian, with an equal equivalent or zero form. This research aims to identify the variety of forms and factors in the formation of various forms of translation of French articles in the novel Syngué Sabour (Pierre de Patience).<o:p></o:p>

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