Deep social force network for anomaly event detection

Rare event detections are performed using spatial domain and frequency domain-based procedures. Omnipresent surveillance camera footages are increasing exponentially due course the time. Monitoring all the events manually is an insignificant and more time-consuming process. Therefore, an automated rare event detection contrivance is required to make this process manageable. In this work, a Context-Free Grammar (CFG) is developed for detecting rare events from a video stream and Artificial Neural Network (ANN) is used to train CFG. A set of dedicated algorithms are used to perform frame split process, edge detection, background subtraction and convert the processed data into CFG. The developed CFG is converted into nodes and edges to form a graph. The graph is given to the input layer of an ANN to classify normal and rare event classes. Graph derived from CFG using input video stream is used to train ANN Further the performance of developed Artificial Neural Network Based Context-Free Grammar – Rare Event Detection (ACFG-RED) is compared with other existing techniques and performance metrics such as accuracy, precision, sensitivity, recall, average processing time and average processing power are used for performance estimation and analyzed. Better performance metrics values have been observed for the ANN-CFG model compared with other techniques. The developed model will provide a better solution in detecting rare events using video streams.

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The essence and causes of the spiritual and moral decline of mankind in the XX century

Ukrainian Religious Studies ◽

10.32420/1998.7.153 ◽

1998 ◽

pp. 124-127

Author(s):

V. Tolkachenko

Keyword(s):

Well Being ◽

Religious Institutions ◽

Social Force ◽

The World ◽

Role Of Religion

One of the most important reasons for such a clearly distressed state of society was the decline of religion as a social force, the external manifestation of which is the weakening of religious institutions. "Religion," Baha'u'llah writes, "is the greatest of all means of establishing order in the world to the universal satisfaction of those who live in it." The weakening of the foundations of religion strengthened the ranks of ignoramuses, gave them impudence and arrogance. "I truly say that everything that belittles the supreme role of religion opens way for the revelry of maliciousness, inevitably leading to anarchy. " In another Tablet, He says: "Religion is a radiant light and an impregnable fortress that ensures the safety and well-being of the peoples of the world, for God-fearing induces man to adhere to the good and to reject all evil." Blink the light of religion, and chaos and distemper will set in, the radiance of justice, justice, tranquility and peace. "

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State-Minority Contestations in Post-colonial Sri Lanka

Journal of Educational and Social Research ◽

10.2478/jesr-2019-0065 ◽

2019 ◽

Vol 9 (4) ◽

pp. 157-165

Author(s):

Mansoor Mohamed Fazil

Keyword(s):

Qualitative Research ◽

Sri Lanka ◽

Research Method ◽

The State ◽

Social Forces ◽

Social Force ◽

State Structure ◽

Post Colonial ◽

State And Society ◽

The Military

Abstract This research focuses on the issue of state-minority contestations involving transforming and reconstituting each other in post-independent Sri Lanka. This study uses a qualitative research method that involves critical categories of analysis. Migdal’s theory of state-in-society was applied because it provides an effective conceptual framework to analyse and explain the data. The results indicate that the unitary state structure and discriminatory policies contributed to the formation of a minority militant social force (the Liberation Tigers of Tamil Eelam – The LTTE) which fought with the state to form a separate state. The several factors that backed to the defeat of the LTTE in 2009 by the military of the state. This defeat has appreciably weakened the Tamil minority. This study also reveals that contestations between different social forces within society, within the state, and between the state and society in Sri Lanka still prevail, hampering the promulgation of inclusive policies. This study concludes that inclusive policies are imperative to end state minority contestations in Sri Lanka.

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A fast event detection algorithm for residential loads within normal and disturbed operating conditions

European Journal of Electrical Engineering ◽

10.3166/ejee.18.95-116 ◽

2016 ◽

Vol 18 (1-2) ◽

pp. 95-116 ◽

Cited By ~ 1

Author(s):

Faten MOUELHI

Keyword(s):

Event Detection ◽

Detection Algorithm ◽

Operating Conditions

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Tweets analysis for event detection

Ingénierie des systèmes d information ◽

10.3166/isi.21.1.61-80 ◽

2016 ◽

Vol 21 (1) ◽

pp. 61-80

Author(s):

Soumaya Cherichi ◽

Rim Faiz

Keyword(s):

Event Detection

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Saliency detection in deep learning era: trends of development

Information and Control Systems ◽

10.31799/1684-8853-2019-3-10-36 ◽

2019 ◽

pp. 10-36 ◽

Cited By ~ 2

Author(s):

M. N. Favorskaya ◽

L. C. Jain

Keyword(s):

Deep Learning ◽

Object Detection ◽

Event Detection ◽

Visual Analysis ◽

Saliency Detection ◽

Salient Object Detection ◽

Public Image ◽

Detection Methods ◽

Salient Object ◽

Salient Event

Introduction:Saliency detection is a fundamental task of computer vision. Its ultimate aim is to localize the objects of interest that grab human visual attention with respect to the rest of the image. A great variety of saliency models based on different approaches was developed since 1990s. In recent years, the saliency detection has become one of actively studied topic in the theory of Convolutional Neural Network (CNN). Many original decisions using CNNs were proposed for salient object detection and, even, event detection.Purpose:A detailed survey of saliency detection methods in deep learning era allows to understand the current possibilities of CNN approach for visual analysis conducted by the human eyes’ tracking and digital image processing.Results:A survey reflects the recent advances in saliency detection using CNNs. Different models available in literature, such as static and dynamic 2D CNNs for salient object detection and 3D CNNs for salient event detection are discussed in the chronological order. It is worth noting that automatic salient event detection in durable videos became possible using the recently appeared 3D CNN combining with 2D CNN for salient audio detection. Also in this article, we have presented a short description of public image and video datasets with annotated salient objects or events, as well as the often used metrics for the results’ evaluation.Practical relevance:This survey is considered as a contribution in the study of rapidly developed deep learning methods with respect to the saliency detection in the images and videos.

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