scholarly journals Robust Suspicious Action Recognition Approach Using Pose Descriptor

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Waqas Ahmed ◽  
Muhammad Haroon Yousaf ◽  
Amanullah Yasin
Keyword(s):  
Technological Development ◽  
The Body ◽  
Support Vector ◽  
Body Parts ◽  
Shopping Malls ◽  
Public Places ◽  
Video Frames ◽  
The People ◽  
Moving Body ◽  
Benchmark Datasets

In the current era of technological development, human actions can be recorded in public places like airports, shopping malls, and educational institutes, etc., to monitor suspicious activities like terrorism, fighting, theft, and vandalism. Surveillance videos contain adequate visual and motion information for events that occur within a camera’s view. Our study focuses on the concept that actions are a sequence of moving body parts. In this paper, a new descriptor is proposed that formulates human poses and tracks the relative motion of human body parts along with the video frames, and extracts the position and orientation of body parts. We used Part Affinity Fields (PAFs) to acquire the associated body parts of the people present in the frame. The architecture jointly learns the body parts and their associations with other body parts in a sequential process, such that a pose can be formulated step by step. We can obtain the complete pose with a limited number of points as it moves along the video and we can conclude with a defined action. Later, these feature points are classified with a Support Vector Machine (SVM). The proposed work was evaluated on the benchmark datasets, namely, UT-interaction, UCF11, CASIA, and HCA datasets. Our proposed scheme was evaluated on the aforementioned datasets, which contained criminal/suspicious actions, such as kick, punch, push, gun shooting, and sword-fighting, and achieved an accuracy of 96.4% on UT-interaction, 99% on UCF11, 98% on CASIA and 88.72% on HCA.

scholarly journals Facial Expression Recognition using SVM with CNN and Handcrafted Features

2019 ◽  
Vol 8 (4) ◽  
pp. 3570-3574
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Recognition System ◽  
Vital Role ◽  
Working Environment ◽  
Support Vector ◽  
Expression Recognition ◽  
Shopping Malls ◽  
Benchmark Datasets ◽  
Mind Set

The facial expression recognition system is playing vital role in many organizations, institutes, shopping malls to know about their stakeholders’ need and mind set. It comes under the broad category of computer vision. Facial expression can easily explain the true intention of a person without any kind of conversation. The main objective of this work is to improve the performance of facial expression recognition in the benchmark datasets like CK+, JAFFE. In order to achieve the needed accuracy metrics, the convolution neural network was constructed to extract the facial expression features automatically and combined with the handcrafted features extracted using Histogram of Gradients (HoG) and Local Binary Pattern (LBP) methods. Linear Support Vector Machine (SVM) is built to predict the emotions using the combined features. The proposed method produces promising results as compared to the recent work in [1].This is mainly needed in the working environment, shopping malls and other public places to effectively understand the likeliness of the stakeholders at that moment.

CARRIED BAGGAGE DETECTION AND CLASSIFICATION USING MULTI-TREND BINARY CODE DESCRIPTOR AND SUPPORT VECTOR MACHINE

2021 ◽  
Author(s):  
Shah bano ◽  
Syed Adnan Shah ◽  
Wakeel Ahmad ◽  
Muhammad Ilyas
Keyword(s):  
Support Vector Machine ◽  
Support Vector Machine Classifier ◽  
Binary Code ◽  
Spatial Information ◽  
Detection Algorithm ◽  
Support Vector ◽  
Surveillance Systems ◽  
Body Parts ◽  
Public Places ◽  
Surveillance Camera

Automatic video surveillance systems have gained significant importance due to an increase in crime rate over the last two decades. Automatic baggage detection through surveillance camera can help in security and monitoring in public places. A detection algorithm for humans (with or without carrying baggage) is proposed in this paper. Detection in the proposed method can be achieved by employing spatial information of the baggage of various texture patterns with locus to the human body carrying it. To extract the features of body parts (such as head, trunk and limbs), the descriptor is exhibited and trained by the support vector machine classifier. The proposed approach has been widely assessed by using publically available datasets. The experimental results have shown that the proposed approach is viable for baggage detection and classification as compared to the other available approaches.

Cultural scripting of body parts for emotions

2002 ◽  
Vol 10 (1-2) ◽  
pp. 27-55 ◽  
Author(s):  
Felix K. Ameka
Keyword(s):  
Body Image ◽  
Emotional Experience ◽  
Cultural Construction ◽  
West African ◽  
The Body ◽  
Body Parts ◽  
African Language ◽  
Moving Body ◽  
Three Body ◽  
Red Eyes

Different languages present a variety of ways of talking about emotional experience. Very commonly, feelings are described through the use of ‘body image constructions’ in which they are associated with processes in, or states of, specific body parts. The emotions and the body parts that are thought to be their locus and the kind of activity associated with these body parts vary cross-culturally. This study focuses on the meaning of three ‘body image constructions’ used to describe feelings similar to, but also different from, English ‘jealousy’, ‘envy’, and ‘covetousness’ in the West African language Ewe. It is demonstrated that a ‘moving body’, a pychologised eye, and red eyes are scripted for these feelings. It is argued that the expressions are not figurative and that their semantics provide good clues to understanding the cultural construction of emotions both emotions and the body.

scholarly journals An image-based gangrene disease classification

2020 ◽  
Vol 10 (6) ◽  
pp. 6001
Author(s):  
Pramod Sekharan Nair ◽  
Tsrity Asefa Berihu ◽  
Varun Kumar
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Convolutional Neural Network ◽  
Image Features ◽  
The Body ◽  
Disease Classification ◽  
Support Vector ◽  
Body Parts ◽  
Intermediate Layers ◽  
The Given

Gangrene disease is one of the deadliest diseases on the globe which is caused by lack of blood supply to the body parts or any kind of infection. The gangrene disease often affects the human body parts such as fingers, limbs, toes but there are many cases of on muscles and organs. In this paper, the gangrene disease classification is being done from the given images of high resolution. The convolutional neural network (CNN) is used for feature extraction on disease images. The first layer of the convolutional neural network was used to capture the elementary image features such as dots, edges and blobs. The intermediate layers or the hidden layers of the convolutional neural network extracts detailed image features such as shapes, brightness, and contrast as well as color. Finally, the CNN extracted features are given to the Support Vector Machine to classify the gangrene disease. The experiment results show the approach adopted in this study performs better and acceptable.

PENDEKATAN KRITIK SENI TERHADAP DESAIN POSTER KARYA NAUFAN NOORDIYANTO

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
M. Edo Pratama Putra ◽  
Risvi Pangestu ◽  
Yosef Yulius
Keyword(s):  
Art Criticism ◽  
General Term ◽  
The Body ◽  
Body Parts ◽  
Wide Audience ◽  
Public Places ◽  
Self Disclosure ◽  
Design Elements ◽  
Communication Work ◽  
The Masses

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>Poster is a general term for a letter attached / placard. Posters are placards that are placed in public places, in the form of announcements or advertisements (Big Indonesian Dictionary, 1986: 679). Posters can be interpreted as a form of visual communication work for a wide audience in the format of writing and images, which are generally in the form of stickers on the wall with a communication range for the masses. This study analyzes the works of Naufan Noordiyanto's posters which include studies of the form of the work, design elements, messages and values contained in his poster works with an art criticism approach. Naufan Noordiyanto's poster works mostly on social and political themes, regarding identity, tolerance, equality, philosophy and things that are contemporary in nature. These works were created as a reflection of his experiences, thoughts, and current conflicts. Artist Naufan Noordiyanto has created many forms with changing forms. Many of the body parts that were deformed from the human figures he created appeared to be abnormal human forms. Of course, there is a message that designer Naufan Noordiyanto wants to convey through his works. As in his work, Marlina, which presents Naufan's self-disclosure of the consequences of a lack of equality for a person, and being isolated is sometimes preferable to being recognized through a set of norms in a system that can injure and negate. In this research, the writer uses mimesis theory, expressive theory, and objective / pragmatic theory. </span></p></div></div></div>

scholarly journals Feature Selection for Work Recognition and Working Motion Measurement

2018 ◽  
Vol 30 (5) ◽  
pp. 706-716 ◽  
Author(s):  
Saori Miyajima ◽  
Takayuki Tanaka ◽  
Natsuki Miyata ◽  
Mitsunori Tada ◽  
Masaaki Mochimaru ◽  
...  
Keyword(s):  
Feature Selection ◽  
Inertial Sensors ◽  
Inertial Sensor ◽  
Feature Selection Method ◽  
The Body ◽  
Support Vector ◽  
Body Parts ◽  
Care Services ◽  
Physical Burden ◽  
New Feature

As the demand for nursing care services is growing, the physical burden involved in caregiving has drawn widespread attention. To mitigate the physical burden in caregiving, we have to recognize what kind of work and problems are involved in each caregiving task. To identify the problems involved in caregiving, we need to recognize the work and analyze its workload. Aiming to reduce the burden on the waist during caregiving tasks, we are developing inertial sensor suits for measuring the working motions. With the developed method, the burden on the waist is estimated from the waist posture. Considering its use in practical caregiving sites, the number of inertial sensors should be the minimum necessary, which depends on the number of body parts where to measure the posture. In this study, we select the body parts to achieve the two above-mentioned goals: to recognize the work involved in caregiving and capture the waist posture. A support vector machine (SVM) is used to recognize the work. Its conventional method of selecting the features on which to recognize the work only considers the recognition accuracy and does not sufficiently meet the needs for measuring the postures. Therefore, we propose a new feature-selection method, which can evaluate the waist-posture measuring accuracy and can make forward feature selections in the same manner as the conventional wrapper method. We have verified the effectiveness of the proposed method by measuring simple simulated work motions.

scholarly journals KEUNIKAN BUDAYA TIDUR INEMURI JEPANG

KIRYOKU ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 1
Author(s):  
Budi Mulyadi
Keyword(s):  
Japanese Society ◽  
Hard Work ◽  
The Body ◽  
Research Model ◽  
Japanese People ◽  
Public Places ◽  
Sleeping Time ◽  
The People

The title of this research is The Unique Sleep Culture of Japan (Inemuri). Inemuri is a Japanese practice of sleeping in public places. Inemuri became a unique phenomenon and became a habit of Japanese people. Inemuri is a testament to the efforts and hard work of Japanese society. The purpose of this paper is to explain what is Inemuri, the cause of Inemuri, what is the uniqueness of Inemuri and the benefits of Inemuri. This research is a research model that use literary review research model to collect the dataThe paper shows that inemuri is the unique culture which happening in Japanese society, from salarymen until the students could sleep for a while at an unusual place like in the train, workplace or public places. One of the causes of inemuri is there is the fact that Japanese has most short sleeping time compared to other countries so that they get tired and feel sleepy after hard work and fall asleep in the train or workplaces. One of the uniqueness of inemuri is in Japan the inemuri is considered as the something normal. The people who do inemuri is considered as a hard worker. The Japanese people think there are many benefits from inemuri. One of them is inemuri can refresh the body and mind after hard work

scholarly journals Glove Sensor with AI system for Deaf and Blind People to Ease of Communication

2019 ◽  
Vol 9 (1S) ◽  
pp. 390-394
Keyword(s):  
Artificial Intelligence ◽  
Mobile Device ◽  
Technological Development ◽  
Low Cost ◽  
The Other ◽  
Raspberry Pi ◽  
Blind People ◽  
Public Places ◽  
The People ◽  
Sense Of Touch

Deaf and blind people find very difficult to communicate to other people. The latest technological development helps the people having disabilities particularly deaf and blind people to communicate to other people. These people can able to communicate with the help of their sense of touch. So the advance sensors integrating with the recent technology assists the people with disability for communicating with the other people. In this paper Glove based sensors combined with the Artificial Intelligence is demonstrated so that the deaf and blind people can communicate to other people in a big conference or any public places. It is also proved that the device developed is a low cost wearable device which is affordable to such a weaker section of people having disabilities. Raspberry-pi and mobile device are cantered around the sensors to process and communicate. With the help of the device demonstrated in this paper people with disabilities specially deaf and blind can involve freely in day to day regular activities.

scholarly journals Cultural scripting of body parts for emotions: On ‘jealousy’ and related emotions in Ewe

2002 ◽  
Vol 10 (1-2) ◽  
pp. 27-55 ◽  
Keyword(s):  
Body Image ◽  
Emotional Experience ◽  
Cultural Construction ◽  
West African ◽  
The Body ◽  
Body Parts ◽  
African Language ◽  
Moving Body ◽  
Three Body ◽  
Red Eyes

Different languages present a variety of ways of talking about emotional experience. Very commonly, feelings are described through the use of ‘body image constructions’ in which they are associated with processes in, or states of, specific body parts. The emotions and the body parts that are thought to be their locus and the kind of activity associated with these body parts vary cross-culturally. This study focuses on the meaning of three ‘body image constructions’ used to describe feelings similar to, but also different from, English ‘jealousy’, ‘envy’, and ‘covetousness’ in the West African language Ewe. It is demonstrated that a ‘moving body’, a pychologised eye, and red eyes are scripted for these feelings. It is argued that the expressions are not figurative and that their semantics provide good clues to understanding the cultural construction of emotions both emotions and the body.

scholarly journals Sedentary Ciliates from Two Dutch Freshwater Gammarus Species

1977 ◽  
Vol 46 (2) ◽  
pp. 151-170 ◽  
Author(s):  
M.J. Bierhof ◽  
P.J. Roos
Keyword(s):  
Seasonal Variation ◽  
New Species ◽  
Species Composition ◽  
The Body ◽  
Body Parts ◽  
Gammarus Tigrinus ◽  
Ciliate Species ◽  
Moving Body ◽  
Two New Species ◽  
Freshwater Habitats

The sedentary ciliate fauna living on the body surface of Gammarus tigrinus and G. pulex from Dutch freshwater habitats has been investigated. Fourty-seven ciliate species are found, of which 43 belong to the order Peritrichida, suborder Sessilina, 3 belong to the order Suctorida and 1 belongs to the order Chonotrichida. Two new species in the genera Intranstylum and Pseudocarchesium are described. It appears that there is a seasonal variation in the number of epizoic ciliates as well as in species composition. In general, the species with a contractile stalk are found on external, often fast-moving, body parts. Species with a noncontractile stalk seem to prefer more quiet and sheltered positions. After ecdysis there is a succession of the genera Epistylis and Zoothamnium, the latter becoming dominant on older exoskeletons.

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