Development of Boundary Detection Methods Based on Images for Path Following of Autonomous Tractor

2021 ◽  
Vol 46 (11) ◽  
pp. 2078-2087
Author(s):  
Dasom Seo ◽  
Jin-Ho Won ◽  
Changju Yang ◽  
Gookhwan Kim ◽  
Kyung-Do Kwon ◽  
...  
Keyword(s):  
Path Following ◽  
Boundary Detection ◽  
Detection Methods

scholarly journals An Efficient and Robust Temporal Video Segmentation

2019 ◽  
Vol 9 (1) ◽  
pp. 4332-4337
Keyword(s):  
Video Segmentation ◽  
Video Retrieval ◽  
Boundary Detection ◽  
Detection Methods ◽  
Shot Boundary Detection ◽  
Feature Descriptor ◽  
Local Contrast ◽  
Temporal Video Segmentation ◽  
Shot Boundary ◽  
Content Based Video Retrieval

Temporal video segmentation is the primary step of content based video retrieval. The whole processes of video management are coming under the focus of content based video retrieval, which includes, video indexing, video retrieval, and video summarization etc. In this paper, we proposed a computationally efficient and discriminating shot boundary detection method, which uses a local feature descriptor named local Contrast and Ordering (LCO) for feature extraction. The results of the experiments, which are conducted on the video dataset TRECVid, analyzed and compared with some existing shot boundary detection methods. The proposed method has given a promising result, even in the cases of illumination changes, rotated images etc.

scholarly journals Automated detection of sleep-boundary times using wrist-worn accelerometry

2017 ◽  
Author(s):  
Johanna O’Donnell ◽  
Sven Hollowell ◽  
Gholamreza Salimi-Khorshidi ◽  
Carmelo Velardo ◽  
Claire Sexton ◽  
...  
Keyword(s):  
Sleep Onset ◽  
Boundary Detection ◽  
Change Point Detection ◽  
Data Driven ◽  
Detection Methods ◽  
Kappa Statistics ◽  
Accelerometer Data ◽  
Sleep Diaries ◽  
Data Driven Approach ◽  
Boundary Information

AbstractObjectiveCurrent polysomnography-validated measures of sleep status from wrist-worn accelerometers cannot be used in fully automated analysis as they rely on self-reported sleep-onset and -end (sleep-boundary) information. We set out to develop an automated, data-driven approach to sleep-boundary detection from wrist-worn accelerometer data.MethodsOn three separate occasions, participants were asked to wear a GENEActiv® wrist-worn accelerometer for nine days and concurrently complete sleep diaries with lights-off, asleep and wake-up information. We developed and evaluated three data-driven methods for sleep-boundary detection: a change-point detection based method, a thresholding method and a random forest classifier based method. Mean absolute errors between automatically-derived and self-reported sleep-onset and wake-up times were recorded in addition to kappa statistics for the minute-by-minute performance of each of the methods.Results46 participants provided 972 days of accelerometer recordings with corresponding self-reported sleep information. The three sleep-boundary detection methods resulted in mean absolute errors in sleep-onset and wake-up times per individual of 36 min, 34 min and 33 min and kappa statistics of 0.87, 0.89 and 0.89, respectively.ConclusionOur methods provide a data-driven approach to detect sleep-onset and -end times without the need for self-reported sleep-boundary information. The methods are likely to be of particular use for large-scale studies where the collection of self-reported sleep diaries is impractical.SignificanceObjective measures of sleep are needed to reliably detect associations with health outcomes. This work lays the foundation for studies of objectively measured sleep duration and its health consequences in large studies.

scholarly journals Survey on Shot Boundary Detection Methods

2020 ◽  
pp. 234-238
Keyword(s):  
Video Retrieval ◽  
Boundary Detection ◽  
Detection Methods ◽  
Shot Boundary Detection ◽  
Multimedia Content ◽  
Multimedia Technology ◽  
Video Content ◽  
Media Processing ◽  
Indexing And Retrieval ◽  
Shot Boundary

The increase in the growth of multimedia technology leads to an increase in multimedia content in a large amount. Hence it is important to access only interesting video content instead of the whole video. For effective indexing and retrieving the interesting content from the whole video, the Content-Based Video Retrieval (CBVR) is used. Shot boundary detection is one of the most important and necessary steps. It is used to partitioning the video into shots that are necessary for indexing and retrieval of video. Therefore, segmentation plays a significant role in the field of digital image and media processing, computer vision and pattern recognition. In this paper, the recent development for shot boundary detection has been presented.

scholarly journals Neighborhood Boundaries and Violent Crime. An Introduction to Boundary Detection Methods in R

2018 ◽  
Author(s):  
Joscha Legewie
Keyword(s):  
Social Science ◽  
Urban Areas ◽  
Boundary Detection ◽  
R Package ◽  
Detection Methods ◽  
Spatial Processes ◽  
Violent Crimes ◽  
The Social ◽  
Neighborhood Boundaries ◽  
The Relationship

Neighborhood boundaries are a defining aspect of highly segregated urban areas. Yet, few studies examine the particular challenges and spatial processes that occur at the bordering region between two neighborhoods. This guide introduces readers to different methods to measure neighborhood boundaries. It illustrates the use of boundary detection methods in the social science based on the R package 'BoundaryDetection'. The analysis example estimates the relationship between violent crimes and racial neighborhood boundaries in Chicago.

DNA nick end labeling: a reliable marker for apoptosis?

1995 ◽  
Vol 53 ◽  
pp. 962-963
Author(s):  
Anne F. Bushnell ◽  
Sarah Webster ◽  
Lynn S. Perlmutter
Keyword(s):  
Cell Death ◽  
Cultured Cells ◽  
Apoptotic Cell ◽  
Morphological Characteristics ◽  
Detection Methods ◽  
Tissue Preparation ◽  
Preparation Methods ◽  
Dna Laddering ◽  
Disease States ◽  
Reliable Marker

Apoptosis, or programmed cell death, is an important mechanism in development and in diverse disease states. The morphological characteristics of apoptosis were first identified using the electron microscope. Since then, DNA laddering on agarose gels was found to correlate well with apoptotic cell death in cultured cells of dissimilar origins. Recently numerous DNA nick end labeling methods have been developed in an attempt to visualize, at the light microscopic level, the apoptotic cells responsible for DNA laddering.The present studies were designed to compare various tissue processing techniques and staining methods to assess the occurrence of apoptosis in post mortem tissue from Alzheimer's diseased (AD) and control human brains by DNA nick end labeling methods. Three tissue preparation methods and two commercial DNA nick end labeling kits were evaluated: the Apoptag kit from Oncor and the Biotin-21 dUTP 3' end labeling kit from Clontech. The detection methods of the two kits differed in that the Oncor kit used digoxigenin dUTP and anti-digoxigenin-peroxidase and the Clontech used biotinylated dUTP and avidinperoxidase. Both used 3-3' diaminobenzidine (DAB) for final color development.

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