scholarly journals Enhanced approach for face detection and identifying human body proportionality using v-jones algorithm

2018 ◽  
Vol 7 (4) ◽  
pp. 2374
Author(s):  
Santosh Patil ◽  
N Ramakrishnaiah ◽  
S Laxman Kumar
Keyword(s):  
Human Body ◽  
Skin Color ◽  
High Accuracy ◽  
Human Anatomy ◽  
Body Proportion ◽  
Massive Datasets ◽  
Detection And Tracking ◽  
Tracking Process ◽  
Human Object ◽  
Tracking Of Humans

Manual analysis of pedestrians and crowds is often impractical for massive datasets of surveillance videos. Automatic tracking of humans is one of the essential abilities for computerized analysis of such videos. In this proposed work we use Viola jones method for detecting moving human object, next using same method we identify the Human anatomy body proportion to detect the whole human body. The final function is the skin color threshold using the HIS and YCbCr. The proposed method yields high accuracy, we conducted experimental analysis on different videos, achieved high accuracy in detecting human object moment. Several future enhancements can be made to the system. The detection and tracking of multiple people can be extended to real-time live video. Apart from the detection and tracking, process of recognition can also be done. 

Somewhere between Human, Nonhuman, and Woman

2020 ◽  
Vol 6 (3) ◽  
pp. 21-51
Author(s):  
Debashree Mukherjee
Keyword(s):  
Object Relations ◽  
Human Body ◽  
Film Industry ◽  
The South ◽  
Hunger Strike ◽  
Cultural Events ◽  
Production Experience ◽  
Human Object ◽  
The Status ◽  
History Of

In 1939, at the height of her stardom, the actress Shanta Apte went on a spectacular hunger strike in protest against her employers at Prabhat Studios in Poona, India. The following year, Apte wrote a harsh polemic against the extractive nature of the film industry. In Jaau Mi Cinemaat? (Should I Join the Movies?, 1940), she highlighted the durational depletion of the human body that is specific to acting work. This article interrogates these two unprecedented cultural events—a strike and a book—opening them up toward a history of embodiment as production experience. It embeds Apte's emphasis on exhaustion within contemporaneous debates on female stardom, industrial fatigue, and the status of cinema as work. Reading Apte's remarkable activism as theory from the South helps us rethink the meanings of embodiment, labor, materiality, inequality, resistance, and human-object relations in cinema.

scholarly journals STUDY OF GIT RELATED KOSHTHANGA W.S.R. TO PAKWASHAYA

2021 ◽  
Vol 9 (7) ◽  
pp. 1466-1468
Author(s):  
Pallavi Gupta ◽  
Divya Nidhi
Keyword(s):  
Small Intestine ◽  
Large Intestine ◽  
Human Body ◽  
Alimentary Canal ◽  
Intestinal Tract ◽  
Human Anatomy ◽  
Specific Function ◽  
Partial Digestion ◽  
Complete Digestion ◽  
Absolute Knowledge

Human anatomy is the science where human body structures are designed to enable complete physiological action thus establishing homeostasis of the human body. Acharya Sushruta had a keen observation about the human body reflecting that without the absolute knowledge of Rachana Sharir. Chikitsak cannot be considered an expert. In Ayurveda, the part of G.I.T. is mentioned in Koshthanga by various Acharya. These Koshthanga are Aamashaya, Pakwashaya, Purishdhara, Uttarguda, Adharguda, Kshudrantra etc. which are situated within the koshtha. In modern anatomy, G.I.T. or Alimentary canal includes all the structures between the mouth and anus, forming a continuous passageway that includes the main organ of digestion, namely the stomach small intestine and large intestine, each part of the Gastric intestinal tract is adapted to its specific function. The 'oesophagus' function primarily to conduct food rapidly from the pharynx to the stomach mixing along with the digestive juic- es, carrying out partial digestion and then propelling the food into the duodenum is the function of the stomach small intestine is designed for complete digestion and absorption of nutrients. Absorption of water and electrolyte from the chyme to form solid faeces is the function of the large intestine. Pakwashaya is the main organ related to the site of Vata Dosha, Purishvaha srotas, Purishdhara kala, Koshthanga and Aashaya. Pakwashaya plays an important role in formation of urine and digestion of food. Keywords: Pakwashaya, Purish

scholarly journals Design of Security System Based on Raspberry-PI

2019 ◽  
Vol 19 (2) ◽  
pp. 56-61
Author(s):  
Mohanad Abdulhamid ◽  
Singoee Sheshai
Keyword(s):  
Motion Detection ◽  
Raspberry Pi ◽  
Video Streams ◽  
Environment Friendly ◽  
Live Video ◽  
Video Cameras ◽  
Detection And Tracking ◽  
Tracking Process ◽  
Set Up ◽  
Wireless Module

AbstractAs a critical constituent of many associations’ protection and security precedence, video surveillance has set up its importance and benefits numerous instances with the aid of imparting immediate supervising of possessions, people, surroundings and property. This paper deals with the diagram strategy of an embedded real-time surveillance gadget based totally on Raspberry-Pi single board computer (SBC) for intruder detection which is reinforcing technology of surveillance to supply fundamental security to our life and associated control and alert operations. The suggested safety solution is hinging on our novel integration of cameras and action detectors into application of web. Raspberry-Pi is operating and controlling action detectors and video cameras for far flung sensing and surveillance, streams live video and files it for future playback. Also, this paper is focusing on growing a surveillance machine that detects strangers and to response speedily through taking pictures and relaying photos to proprietor based totally wireless module. This Raspberry-Pi based clever surveillance machine presents the concept of monitoring a region in a far-flung area. The suggested solution offers a fee advantageous ubiquitous surveillance solution, environment friendly and convenient to implement. Furthermore, the paper presents the idea of motion detection and tracking using image processing. This type of technology is of great importance when it comes to surveillance and security. Live video streams therefore be used to show how objects can be detected then tracked. The detection and tracking process are based on pixel threshold.

scholarly journals Prediction of physiological exertion in hot environments using the JOS-2 thermoregulation model

2019 ◽  
Vol 111 ◽  
pp. 02058
Author(s):  
Akihisa Nomoto ◽  
Yoshito Takahashi ◽  
Yoshiichi Ozeki ◽  
Masayuki Ogata ◽  
Shin-ichi Tanabe
Keyword(s):  
Metabolic Rate ◽  
Human Body ◽  
Heat Stroke ◽  
High Accuracy ◽  
Outdoor Environment ◽  
Heat Island ◽  
Rate Measurement ◽  
Mean Skin Temperature ◽  
Local Skin ◽  
Hot Environments

In recent years, the outdoor summer environment in Japan has become progressively warmer due to the severity of the heat island phenomenon. The danger of heat stroke and thermal comfort outdoors in summer are regarded as problems. In order to evaluate these problems, it is important to evaluate physiological exertion in the human body. The purpose of this research is to demonstrate the possibility of predicting physiological exertion in the human body with high accuracy in an outdoor environment during summer using the JOS-2 thermoregulation model developed by our research group. First, the Japanese metabolic rate in summer and autumn was measured for various activities, including sitting, standing, and walking. As a result, we found that the metabolic rate during sitting and standing was lower by about 10% in summer than in autumn. Next, using the obtained metabolic rate measurement as an input to the model, the experiment in an outdoor environment during summer was reproduced using JOS-2. The accuracy of the predicted mean skin temperature and local skin wettedness in an outdoor environment during summer was improved by choosing the appropriate input to the model.

Research on Moving Human Positioning in Complex Background Video

2011 ◽  
Vol 225-226 ◽  
pp. 403-406
Author(s):  
Xin Zhang ◽  
Xiao Tao Wang ◽  
Bing Wang ◽  
Yue Hua Gao
Keyword(s):  
Skin Color ◽  
Video Sequence ◽  
Moving Objects ◽  
Video Sequences ◽  
Subtraction Method ◽  
Fusion Model ◽  
Complex Background ◽  
Illumination Changes ◽  
Hsv Color Model ◽  
Human Object

Human Skin Color(HSC) features have been widely used in video moving human positioning. However, in complex background video sequences, due to illumination changes or other moving objects which have similar HSC regions, the effect of moving human positioning is not satisfactory. A new method of moving human positioning applied on complex background video sequences is presented in this paper. Firstly, brightness information of the video sequence images is detected and analyzed based on HSV color model. Secondly, adopt the multi frame subtraction method to extract the moving object regions from motionless background. Then, the regions with distinctive HSC features are separated from other moving objects using the data fusion model of HSC and brightness information. Finally, identify human object among regions with HSC features according to the prior knowledge of human. The experimental results show that the method provided in this paper is effective in moving human positioning of complex background video, and has the strong illumination change adaptability and anti-jamming ability.

Human Body Parts Detection Using YCbCr Color Space

2013 ◽  
Vol 393 ◽  
pp. 556-560
Author(s):  
Nurul Fatiha Johan ◽  
Yasir Mohd Mustafah ◽  
Nahrul Khair Alang Md Rashid
Keyword(s):  
Human Body ◽  
Skin Color ◽  
Color Space ◽  
Detection Algorithm ◽  
Color Segmentation ◽  
Color Model ◽  
Body Parts ◽  
Color Spaces ◽  
Morphological Operation ◽  
Ycbcr Color Space

Skin color is proved to be very useful technique for human body parts detection. The detection of human body parts using skin color has gained so much attention by many researchers in various applications especially in person tracking, search and rescue. In this paper, we propose a method for detecting human body parts using YCbCr color spaces in color images. The image captured in RGB format will be transformed into YCbCr color space. This color model will be converted to binary image by using color thresholding which contains the candidate human body parts like face and hands. The detection algorithm uses skin color segmentation and morphological operation.

scholarly journals Incremental Algorithm for Association Rule Mining under Dynamic Threshold

2019 ◽  
Vol 9 (24) ◽  
pp. 5398 ◽  
Author(s):  
Iyad Aqra ◽  
Norjihan Abdul Ghani ◽  
Carsten Maple ◽  
José Machado ◽  
Nader Sohrabi Safa
Keyword(s):  
Data Mining ◽  
Association Rule ◽  
Association Rule Mining ◽  
High Accuracy ◽  
Incremental Algorithm ◽  
Rule Mining ◽  
Massive Datasets ◽  
Large Databases ◽  
New Knowledge ◽  
Standing Problem

Data mining is essentially applied to discover new knowledge from a database through an iterative process. The mining process may be time consuming for massive datasets. A widely used method related to knowledge discovery domain refers to association rule mining (ARM) approach, despite its shortcomings in mining large databases. As such, several approaches have been prescribed to unravel knowledge. Most of the proposed algorithms addressed data incremental issues, especially when a hefty amount of data are added to the database after the latest mining process. Three basic manipulation operations performed in a database include add, delete, and update. Any method devised in light of data incremental issues is bound to embed these three operations. The changing threshold is a long-standing problem within the data mining field. Since decision making refers to an active process, the threshold is indeed changeable. Accordingly, the present study proposes an algorithm that resolves the issue of rescanning a database that had been mined previously and allows retrieval of knowledge that satisfies several thresholds without the need to learn the process from scratch. The proposed approach displayed high accuracy in experimentation, as well as reduction in processing time by almost two-thirds of the original mining execution time.

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