A Fast-RCNN Implementation for Human Silhouette Detection in Video Sequences

2020 ◽  
Author(s):  
Luis Brandon Garcia-Ortiz ◽  
Gabriel Sanchez-Perez ◽  
Aldo Hernandez-Suarez ◽  
Jesus Olivares-Mercado ◽  
Hector Manuel Perez-Meana ◽  
...  
Keyword(s):  
Fall Detection ◽  
Human Interaction ◽  
Video Sequences ◽  
Surveillance Systems ◽  
Research Areas ◽  
The Common ◽  
Behavioural Biometrics ◽  
Silhouette Detection ◽  
Human Silhouette ◽  
Silhouette Extraction

The intention of this article is to implement a system of detection and segmentation of human silhouettes, the above mentioned tasks present a great challenge in security topics and innovation, in the last years and mainly on automated video surveillance systems, which require understanding the presence and human interaction in video sequences, e.g. Human Computer Interaction (HCI), Human Behaviour comprehension, Human fall detection, among others, but the most important is behavioural biometrics, this paper tackles the common step in these research areas: the Human silhouette extraction through the bounding box. To evaluate the proposed system, standardized databases where used and also proper videos are obtained trying to emulate real-world scenarios, where the quality and the distance are factors that have demonstrated challenges for the detection with computer vision and machine learning.

scholarly journals FASSD-Net Model for Person Semantic Segmentation

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1393
Author(s):  
Luis Brandon Garcia-Ortiz ◽  
Jose Portillo-Portillo ◽  
Aldo Hernandez-Suarez ◽  
Jesus Olivares-Mercado ◽  
Gabriel Sanchez-Perez ◽  
...  
Keyword(s):  
Semantic Segmentation ◽  
Human Interaction ◽  
Video Sequences ◽  
Qualitative And Quantitative ◽  
High Resolution Images ◽  
Quantitative Manner ◽  
High Level ◽  
Time Segmentation ◽  
Human Silhouette ◽  
Silhouette Extraction

This paper proposes the use of the FASSD-Net model for semantic segmentation of human silhouettes, these silhouettes can later be used in various applications that require specific characteristics of human interaction observed in video sequences for the understanding of human activities or for human identification. These applications are classified as high-level task semantic understanding. Since semantic segmentation is presented as one solution for human silhouette extraction, it is concluded that convolutional neural networks (CNN) have a clear advantage over traditional methods for computer vision, based on their ability to learn the representations of appropriate characteristics for the task of segmentation. In this work, the FASSD-Net model is used as a novel proposal that promises real-time segmentation in high-resolution images exceeding 20 FPS. To evaluate the proposed scheme, we use the Cityscapes database, which consists of sundry scenarios that represent human interaction with its environment (these scenarios show the semantic segmentation of people, difficult to solve, that favors the evaluation of our proposal), To adapt the FASSD-Net model to human silhouette semantic segmentation, the indexes of the 19 classes traditionally proposed for Cityscapes were modified, leaving only two labels: One for the class of interest labeled as person and one for the background. The Cityscapes database includes the category “human” composed for “rider” and “person” classes, in which the rider class contains incomplete human silhouettes due to self-occlusions for the activity or transport used. For this reason, we only train the model using the person class rather than human category. The implementation of the FASSD-Net model with only two classes shows promising results in both a qualitative and quantitative manner for the segmentation of human silhouettes.

scholarly journals Helminth fauna of Microtus cf. arvalis (Rodentia, Cricetidae) in Russia and adjacent countries

2020 ◽  
Vol 21 (5) ◽  
Author(s):  
NADEZHDA Yu. KIRILLOVA ◽  
Alexander Kirillov ◽  
ALEXANDER B. RUCHIN ◽  
MAXIM V. TRUKHACHEV
Keyword(s):  
Common Vole ◽  
Common Species ◽  
Final Host ◽  
Helminth Fauna ◽  
Helminth Species ◽  
Research Areas ◽  
The Common ◽  
Common Voles ◽  
Paratenic Hosts ◽  
Parasitic Worms

Abstract. Kirillova NYu, Kirillov AA, Ruchin AB, Trukhachev MV. 2020. Helminth fauna of Microtus cf. arvalis (Rodentia, Cricetidae) in Russia and adjacent countries. Biodiversitas 21: 1961-1979. The helminth fauna of voles of the Microtus cf. arvalis group is reviewed focusing on the Russian fauna and that of adjacent territories. In total, 61 helminth species have been recorded in these rodents: Trematoda-14, Cestoda-21, Nematoda-25, Acanthocephala-1. The diversity of the helminth community of the common vole is due to the wide species range and abundance of this rodent. M. arvalis is the final host for most of the parasites recorded from this host species. Only 10 cestodes and trematodes species use common voles as intermediate and paratenic hosts. The core of this voles’ helminth fauna is formed by common species that parasitize many different rodent species. The helminth fauna of the common vole has been most intensively studied in Russia, where 45 species of parasitic worms have been recorded in rodents. The similarity of the helminth fauna of the common vole from different study regions is determined by both the geographical proximity of the research areas and the broad distribution of most of the M. cf. arvalis helminth species.

scholarly journals ARCHEOLOGIE ET INTERPRETATION: POUR UNE SEMIOTIQUE DES OBJETS CULTURELS ARCHEOLOGY AND INTERPRETATION: FOR A SEMIOTIC OF CULTURAL OBJECTS

2018 ◽  
Vol 23 (2) ◽  
Author(s):  
Bernard LYONNET
Keyword(s):  
Common Ground ◽  
Cultural Objects ◽  
Cultural Object ◽  
Research Areas ◽  
The Common

Résumé: Dans le cadre du projet de sémiotique des cultures, le sémanticien François Rastier a précisé la notion d’objet culturel et proposé d’étendre les méthodes de la sémantique interprétative à des images et autres signes non-textuel. En parallèle, la nécessité de comprendre le sens d’objets symboliques révélés par l’archéologie est souvent exprimée et problématisée par les protohistoriens. Le croisement de ces deux domaines de recherche permet de poser les contours épistémologiques et méthodologiques d’une interprétation de ce type d’objets et d’en fournir une première illustration.Mots clés: sémiotique des cultures, objet culturel, signes graphiques, interprétation, archéologie, protohistoire Abstract: In the context of the semiotic of cultures project, the semanticist François Rastier has stated the notion of cultural object and has suggested to extend methods of interpretative semantics to images and other non-textual signs.  Meanwhile, the necessity to understand the meaning of symbolic objects revealed by the archaeology is often expressed and problematized by protohistorians. The common ground of these two research areas allows us to set the epistemological and methodological outlines of an interpretation of such objects and to provide a first illustration.  Keywords: semiotic of cultures, cultural object, graphics signs, interpretation, archaeology, protohistory

scholarly journals Motion-Compensated Frame Interpolation Using Cellular Automata-Based Motion Vector Smoothing

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Ran Li ◽  
Ying Yin ◽  
Fengyuan Sun ◽  
Yanling Li ◽  
Lei You
Keyword(s):  
Cellular Automata ◽  
Motion Vector ◽  
Video Sequences ◽  
Frame Interpolation ◽  
Temporal Domain ◽  
Video Frames ◽  
Motion Compensated Frame Interpolation ◽  
Motion Vector Field ◽  
The Common ◽  
Temporal Symmetry

Motion-Compensated Frame Interpolation (MCFI) is one of the common temporal-domain tamper operations, and it is used to produce faked video frames for improving the visual qualities of video sequences. The instability of temporal symmetry results in many incorrect Motion Vectors (MVs) for Bidirectional Motion Estimation (BME) in MCFI. The existing Motion Vector Smoothing (MVS) works often oversmooth or revise correct MVs as wrong ones. To overcome this problem, we propose a Cellular Automata-based MVS (CA-MVS) algorithm to smooth the Motion Vector Field (MVF) output by BME. In our work, a cellular automaton is constructed to deduce MV outliers according to a defined local evolution rule. By performing CA-based evolution in a loop iteration, we gradually expose MV outliers and reduce incorrect MVs resulting from oversmoothing as many as possible. Experimental results show the proposed algorithm can improve the accuracy of BME and provide better objective and subjective interpolation qualities when compared with the traditional MVS algorithms.

The History and Status of the Journal of Sport Psychology: 1979-1985

1986 ◽  
Vol 8 (3) ◽  
pp. 149-163 ◽  
Author(s):  
Daniel M. Landers ◽  
Stephen H. Boutcher ◽  
Min Q. Wang
Keyword(s):  
Sport Psychology ◽  
Statistical Tests ◽  
Experimental Studies ◽  
The Past ◽  
Subject Selection ◽  
Research Areas ◽  
Time Period ◽  
Methodological Problems ◽  
The Common ◽  
Single Set

In the past 7 years JSP has evolved to become a respected sport psychology journal. The journal has been uncompromising in the strong research posture it has taken. It is currently the only journal entirely devoted to sport psychology that uses a single set of criteria for evaluating the scientific merit of submitted manuscripts. Over this time period the submitted manuscripts have shown an increase in the number of female principal authors as well as authors being affiliated with departments other than physical education. Survey studies were the most common submittals, but lately there has been a greater emphasis in field experimental studies. Some potential problem areas are noted in subject selection and choice of statistical tests. An examination of research areas revealed that in recent years "motivation" was the most frequently submitted topic. It appeared that other research areas varied in terms of their publishability. The common methodological problems associated with rejection of these types of manuscripts are discussed.

scholarly journals Introduction

2017 ◽  
Vol 42 (3) ◽  
pp. 323-326
Author(s):  
BISHNUPRIYA DUTT
Keyword(s):  
Educational Institutions ◽  
The Public ◽  
National Theatre ◽  
Research Areas ◽  
National School ◽  
History Of ◽  
The Common ◽  
The Public Sphere ◽  
Historical Transition ◽  
Indian Theatre

These three essays on distinct research areas and case studies cover a broad history of educational institutions in India, their focus on theatre and cultural education, and their role in creating citizens active in the public sphere and civic communities. The common point of reference for all the three essays is the historical transition from pre- to post-independence India, and they represent three dominant genres of Indian theatre practice: the amateur progressive theatre emerging out of sociopolitical movements; the State Drama School, which has remained at the core of the state's policy and vision of a national theatre; and college theatre, which comprises the field from which the National School of Drama sources its acting students, as well as new audiences for urban theatres.

scholarly journals Friend of a Friend with Benefits ontology (FOAF+): extending a social network ontology for public health

2020 ◽  
Vol 20 (S10) ◽  
Author(s):  
Muhammad Amith ◽  
Kayo Fujimoto ◽  
Rebecca Mauldin ◽  
Cui Tao
Keyword(s):  
Social Network ◽  
Disease Surveillance ◽  
Social Representations ◽  
Human Interaction ◽  
Network Ties ◽  
Social Data ◽  
Research Areas ◽  
Health Related Research ◽  
Health Related ◽  
Social Network Ties

Abstract Background Dyadic-based social networks analyses have been effective in a variety of behavioral- and health-related research areas. We introduce an ontology-driven approach towards social network analysis through encoding social data and inferring new information from the data. Methods The Friend of a Friend (FOAF) ontology is a lightweight social network ontology. We enriched FOAF by deriving social interaction data and relationships from social data to extend its domain scope. Results Our effort produced Friend of a Friend with Benefits (FOAF+) ontology that aims to support the spectrum of human interaction. A preliminary semiotic evaluation revealed a semantically rich and comprehensive knowledge base to represent complex social network relationships. With Semantic Web Rules Language, we demonstrated FOAF+ potential to infer social network ties between individual data. Conclusion Using logical rules, we defined interpersonal dyadic social connections, which can create inferred linked dyadic social representations of individuals, represent complex behavioral information, help machines interpret some of the concepts and relationships involving human interaction, query network data, and contribute methods for analytical and disease surveillance.

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