scholarly journals Color Detection and Tracking from Live Stream – An Extensive Survey

2017 ◽  
Vol 168 (3) ◽  
pp. 18-22 ◽  
Author(s):  
Sagar Pandey ◽  
Subhabrata Sengupta
Keyword(s):  
Extensive Survey ◽  
Detection And Tracking ◽  
Color Detection

OBJECT DETECTION AND TRACKING IN REAL TIME ENVIRONMENT WITH DIFFERENT COLOUR BACKGROUND IN EUCLIDEAN COLOR FILTER

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Trapti Mala Mishra ◽  
Md. Amzad Quazi
Keyword(s):  
Visual Observation ◽  
Paper Analysis ◽  
Video Observation ◽  
Color Filter ◽  
Detection And Tracking ◽  
Color Detection ◽  
Colored Background ◽  
Transient Data ◽  
Set Up ◽  
Normal Background

The innovation of moving item is imperative in numerous undertakings, for example, video reconnaissance and moving article following. In this paper, an audit has been made on a video reconnaissance situation with constant moving item identification and following. The configuration of a video observation framework is coordinated on programmed distinguishing proof of occasions of interest, particularly on following and arrangement of moving articles. The article following and discovery is utilized to set up a correspondence between items or article parts in continuous edges and to concentrate transient data about items, for example, direction, stance, speed and direction. Tracking is distinguishing the items outline by edge in video. It can be utilized as a part of numerous districts, for example, video reconnaissance, movement checking and individuals following. In static environment division of article is not complex. In element environment because of element ecological conditions, for example, brightening changes, shadows and waving tree limbs in the wind object division is a troublesome and noteworthy issue that should be taken care of well for a powerful visual observation framework. In this paper analysis of different colored object in different colored background with the help of Euclidean color filter and compare normal background with different lightening condition. In this work, we analysis the detection capability of filter in same color  with different lightening condition  background and find out the range of color detection by the filter.

FIRST RECORD OF MANTIDS (MANTODEA: INSECTA) FROM INDIA

2018 ◽  
Vol 24 (1) ◽  
Author(s):  
SHVETA PATEL ◽  
RAJENDRA SINGH
Keyword(s):  
Uttar Pradesh ◽  
First Record ◽  
Target Area ◽  
Extensive Survey ◽  
First Time

Extensive survey of mantids in the northeastern Uttar Pradesh was conducted. Two mantid species were recorded for the first time from the target area, viz.: Pyrgomantis pallida, 1917 and Bactromantis mexicana.

Creation as Text: The Graphological Trope in Said Nursi's Risāle-i nūr

2019 ◽  
Vol 21 (3) ◽  
pp. 89-113
Author(s):  
Colin Turner
Keyword(s):  
Extensive Survey ◽  
Faith Traditions ◽  
Divine Words ◽  
Said Nursi

Reading the act of creation as written or spoken narrative seems to have gained currency across the faith traditions from very early on. The Muslim tradition is no exception. As the ‘pen and ink’ verse in the Qur'an shows, the notion of creation as an assemblage of divine words is as old as Islam itself. It was not until the advent of Muslim mysticism, however, that writers began to build on the image's revelatory foundations. The present study is an introductory analysis of extended metaphor in the work of the Ottoman theologian Bediüzzaman Said Nursi, with particular reference to the use of the ‘graphological trope’ in his six-thousand-page exegesis of the Qur'an known as the Risale-i Nur (‘The Epistles of Light’). The aim is to draw attention to Nursi's use of a particular literary conceit that is deserving of further study. Of the few works on Nursi and his teachings that stand up to serious academic scrutiny, nothing of substance has been written about the language of the Risale-i Nur. It is hoped that this exploratory article will spur other scholars on to a more extensive survey and analysis of imagery in Nursi's oeuvre.

Sourcebook in the Mathematics of Medieval Europe and North Africa

2016 ◽  
Keyword(s):  
North Africa ◽  
Cultural Influences ◽  
Mathematical Induction ◽  
Cross Cultural ◽  
General Introduction ◽  
Extensive Survey ◽  
Medieval Europe ◽  
Ceva’S Theorem ◽  
Arabic Speaking ◽  
First Time

Medieval Europe was a meeting place for the Christian, Jewish, and Islamic civilizations, and the fertile intellectual exchange of these cultures can be seen in the mathematical developments of the time. This book presents original Latin, Hebrew, and Arabic sources of medieval mathematics, and shows their cross-cultural influences. Most of the Hebrew and Arabic sources appear here in translation for the first time. Readers will discover key mathematical revelations, foundational texts, and sophisticated writings by Latin, Hebrew, and Arabic-speaking mathematicians, including Abner of Burgos's elegant arguments proving results on the conchoid—a curve previously unknown in medieval Europe; Levi ben Gershon's use of mathematical induction in combinatorial proofs; Al-Muʾtaman Ibn Hūd's extensive survey of mathematics, which included proofs of Heron's Theorem and Ceva's Theorem; and Muhyī al-Dīn al-Maghribī's interesting proof of Euclid's parallel postulate. The book includes a general introduction, section introductions, footnotes, and references.

A unified framework for automated person re-indentification

2020 ◽  
Vol 71 (7) ◽  
pp. 868-880
Author(s):  
Nguyen Hong-Quan ◽  
Nguyen Thuy-Binh ◽  
Tran Duc-Long ◽  
Le Thi-Lan
Keyword(s):  
Deep Learning ◽  
Video Analysis ◽  
Camera Network ◽  
Unified Framework ◽  
Person Detection ◽  
Practical Applications ◽  
Detection And Tracking ◽  
Analysis System ◽  
Bounding Boxes

Along with the strong development of camera networks, a video analysis system has been become more and more popular and has been applied in various practical applications. In this paper, we focus on person re-identification (person ReID) task that is a crucial step of video analysis systems. The purpose of person ReID is to associate multiple images of a given person when moving in a non-overlapping camera network. Many efforts have been made to person ReID. However, most of studies on person ReID only deal with well-alignment bounding boxes which are detected manually and considered as the perfect inputs for person ReID. In fact, when building a fully automated person ReID system the quality of the two previous steps that are person detection and tracking may have a strong effect on the person ReID performance. The contribution of this paper are two-folds. First, a unified framework for person ReID based on deep learning models is proposed. In this framework, the coupling of a deep neural network for person detection and a deep-learning-based tracking method is used. Besides, features extracted from an improved ResNet architecture are proposed for person representation to achieve a higher ReID accuracy. Second, our self-built dataset is introduced and employed for evaluation of all three steps in the fully automated person ReID framework.

Multiple vehicles detection and tracking for intelligent transport systems using machine learning approaches

2019 ◽  
Vol 70 (3) ◽  
pp. 214-224
Author(s):  
Bui Ngoc Dung ◽  
Manh Dzung Lai ◽  
Tran Vu Hieu ◽  
Nguyen Binh T. H.
Keyword(s):  
Machine Learning ◽  
Gaussian Mixture ◽  
Research Field ◽  
Transport Systems ◽  
Learning Approaches ◽  
Subtraction Method ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Detection And Tracking ◽  
Multiple Vehicles

Video surveillance is emerging research field of intelligent transport systems. This paper presents some techniques which use machine learning and computer vision in vehicles detection and tracking. Firstly the machine learning approaches using Haar-like features and Ada-Boost algorithm for vehicle detection are presented. Secondly approaches to detect vehicles using the background subtraction method based on Gaussian Mixture Model and to track vehicles using optical flow and multiple Kalman filters were given. The method takes advantages of distinguish and tracking multiple vehicles individually. The experimental results demonstrate high accurately of the method.

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