An Intelligent Automated Door Control System Based on a Smart Camera

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license http: Abstract This paper presents an innovative access control system, based on human detection and path analysis, to reduce false automatic door system actions while increasing the added values for security applications. The proposed system can first identify a person from the scene, and track his trajectory to predict his intention for accessing the entrance, and finally activate the door accordingly. The experimental results show that the proposed system has the advantages of high precision, safety, reliability, and can be responsive to demands, while preserving the benefits of being low cost and high added value. The first can be further divided into active and passive approaches. The active process emits infrared signals from the controller and captures the reflected signals to determine if there is any object close to the door. This approach is accurate and capable of identifying the position and the speed of the object but its high cost has made it less popular. The passive approach detects the infrared signals radiated by people and is the most widely used for being simple, effective, and low cost.

Journal of Electrical and Computer Engineering

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The Meet Your Future matchmaking process combines executive recruiting methodologies and sophisticated search algorithms with matchmaking intuition to create a holistic approach to each search. We learn from your personal history — your preferences, deal-breakers, what your relationships patterns are— as well as what a healthy happy relationship looks like for you. We get to know each individual on a very personal level.

The Benchmark phase explores over key personal, professional, and social indicators desired in a partner. The purpose of the Benchmarks is to focus the scope of the search, but not to constrain it. As relationship experts, Selective Search Matchmakers are trained to identify the potential compatibility of a couple beyond the obvious indicators.

Appearance-based Matchmaking Process

Correspondence should be addressed to Oleg Starostenko ; xm. This is an open access article distributed under the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Quick Response QR barcode detection in nonarbitrary environment is still a challenging task despite many existing applications for finding 2D symbols.

The main disadvantage of recent applications for QR code detection is a low performance for rotated and distorted single or multiple symbols in images with variable illumination and presence of noise. In this paper, a particular solution for QR code detection in uncontrolled environments is presented.

Demon’s Souls is a Playstation 3 game made by FROM Software (in collaboration with Sony’s JAPAN Studio) and published in the US by Atlus, Europe by Namco Bandai, and Japan and SE Asia by Sony.. The game is set in the Kingdom of Boletaria, which was led to great prosperity by King Allant XII with the use of the power of souls, until it was beset by a strange colorless fog that isolated it from.

The counterintuitive truth is that Tinder actually provides users with all the information they need to make an informed first impression about a potential long-term mate. And it does so by matching our human evolutionary mechanism. How Does It Work? Although we always ascribe our decisions to a rational, conscious- brain motivation , this is never the entire reason for our decisions; in fact, it often has nothing to do with it. We like to think of ourselves as rational beings who base our decisions on logical processes, but most of our decisions occur unconsciously, based on minimal information.

How do Tinder users choose partners? Finding a date on Tinder involves a three-stage decision making process: The user sets the gender , age range, and geographic radius of a potential partner. As the app presents potential matches fitting the appropriate search criteria, the user chooses “like” or “dislike” based on an automatic emotional reaction to each photo.

To engage another person in a chat, that person first has to “like” the user back. How can so little information prove valuable? Tinder exposes its users to two types of factors: Each of these factors makes a unique contribution to the decision-making process.

No document with DOI “10.1.1.228.1345”

This is an open access article distributed under the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Faces are highly challenging and dynamic objects that are employed as biometrics evidence in identity verification. Recently, biometrics systems have proven to be an essential security tools, in which bulk matching of enrolled people and watch lists is performed every day.

To facilitate this process, organizations with large computing facilities need to maintain these facilities. To minimize the burden of maintaining these costly facilities for enrollment and recognition, multinational companies can transfer this responsibility to third-party vendors who can maintain cloud computing infrastructures for recognition.

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No document with DOI “10.1.1.228.1345”

Soul of the lost, withdrawn from its vessel. Let strength be granted so the world might be mended. So the world might be mended.

Dong Tai Liang Abstract: Inspired by the human vision system, a new image representation and analysis model based on Gaussian multiscale multivariate image analysis MIA is proposed. The multiscale color texture representations for the original image are used to constitute the multivariate image, each channel of which represents a perceptual observation from different scales.

Then the MIA decomposes this multivariate image into multiscale color texture perceptual features the principal component score images. These score images could be interpreted as 1 the output of three color opponent channels: Finally the color image denoising approach based on the models is presented. Experiments show that this denoising method against Gaussian filters significantly improves the denoising effect by preserving more edge information. In order to overcome these deficiencies that computation of recognition algorithm based on template matching is very high and the recognition rate of recognition algorithms based on skin-color segmentation is low, and is vulnerable to the impact of background which is similar with skin-color, face recognition algrithom based on skin color segmentation and template matching is presented in this paper.

According to the clustering properties that the skin-color of human faces have emerged in the YCbCr color space, the regions closing to facial skin color are separated from the image by using Gaussian mixture model in order to achieve the purpose of rapidly detecting the external face of human face. Adaptive template matching is used to overcome the affect of the backgrounds which are similar with skin color on face recognition.

Computation in the matching process is reduced by using the second matching algorithm. Extraction of face images by using singular value features is used to identify faces and to reduce the dimensions of the eigenvalue matrix in the course of facial feature extraction. Experimental results show that proposed method can rapidly recongnise human faces, and improve the accuracy of face recognition.

Color quantization is an important technique for image analysis that reduces the number of distinct colors for a color image.

Liraz Margalit

The publisher’s final edited version of this article is available at Mem Cognit See other articles in PMC that cite the published article. Abstract Previous research varying the trustworthiness of appearance has demonstrated that facial characteristics contribute to source memory. Two studies extended this work by investigating the contribution to source memory of babyfaceness, a facial quality known to elicit strong spontaneous trait inferences.

Young adult participants viewed younger and older babyfaced and mature-faced individuals paired with sentences that were either congruent or incongruent with the target’s facial characteristics. Identifying a source as dominant or submissive was least accurate when participants chose between a target whose behavior was incongruent with facial characteristics and a lure whose face mismatched the target in appearance, but matched the source memory question.

Appearance-based Matchmaking Process He needs to respect your decision. Since I was his first girlfriend he also seemed to want a proper girlfriend experience. Plants are then eaten by animals, making C a part of the cellular structure of all living things. What did it for me Jane was when I appearance-based matchmaking process a very important test appearance-based matchmaking process he knew how important this exam was too me the anxiety leading up to the day.

Excel Chapter 2 Flashcards Quizlet Apr 22, Emma Tessler, uses an algorithm first, and then a matchmaker steps. Mobile dating application Tinder has been heavily criticized for its appearance-based matchmaking process, which many consider so shallow. I wish it were different, appearance-based matchmaking process I can only fully agree with the article.

Of course, neither of you will perfectly appearance-based matchmaking process. Before my husband introduced me to his family, Im sure they had hopes of him marrying within the culture. Russian dating and marriage traditions: There are also a raft of appearance-based spin-off sites, such as.

Tinder and the Dance of the Peacock

The second sprite art for Cupid, from ” Yandere Simulator: Past, Present, and Future “. Playing cupid is a non-lethal method to eliminate a rival in Yandere Simulator. Matchmaking was implemented in the September 22nd, Build.

Her job involves incorporating theory and academic research into customer analysis, building a conceptual framework for insights into online consumer behavior. The counter-intuitive truth is that Tinder actually provides users with all the information they need to make an informed first impression about a potential long-term mate. And it does so by matching our human evolutionary mechanism.

How Does It Work? Although we always ascribe our decisions to a rational, conscious-brain motivation, this supposed motivation is never the entire reason for our decisions; in fact, it often has nothing to do with it! We like to think of ourselves as rational human beings that base our decisions on logical processes, but most of our decisions occur unconsciously and based on minimal information. How do Tinder users choose partners? Finding a date on Tinder involves a three-stage decision making process: Rational Controlled Process — The user sets the gender, age range and geographic radius of a potential partner.

Was SBMM Added to COD WWII?


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