Optimisation the real time implementation of the Viola & Jones face detection algorithm on RISC processor

2010 ◽  
Author(s):  
Moad. Benkiniouar ◽  
Mohamed Benmohammed
Keyword(s):  
Real Time ◽  
Face Detection ◽  
Detection Algorithm ◽  
The Real ◽  
Risc Processor

Research on the Real-Time Multiple Face Detection, Tracking and Recognition Based on Video

2013 ◽  
Vol 373-375 ◽  
pp. 442-446
Author(s):  
Hai Feng Sang ◽  
Chao Xu ◽  
Dan Yang Wu ◽  
Jing Huang
Keyword(s):  
Real Time ◽  
Face Detection ◽  
Recognition System ◽  
Detection Algorithm ◽  
Research Field ◽  
Face Tracking ◽  
Fusion Algorithm ◽  
The Real ◽  
Video Images ◽  
Tracking And Recognition

The video images of human face tracking and recognition is a hot research field of biometric recognition and artificial intelligence in recent years. This paper presents an automatic face tracking and recognition system, which can track multiple faces real-timely and recognize the identity. Aiming at Adaboost face detection algorithm is easy to false detection, presents a fusion algorithm based on Adaboost face detection algorithm and Active Shape Model. The algorithm is not only detect face real-timely but also remove the non-face areas; A multi thread CamShift tracking algorithm is proposed for many faces interlaced and face number of changes in the scene . Meanwhile, the algorithm also can identify the faces which have been tracked in the video. The experiment results show that the system is capable of improving the accurate rate of faces detection and recognition in complex backgrounds, and furthermore it also can track the real-time faces effectively.

Research and Implementation of Face Detection Based on OpenCV

2014 ◽  
Vol 971-973 ◽  
pp. 1710-1713
Author(s):  
Wen Huan Wu ◽  
Ying Jun Zhao ◽  
Yong Fei Che
Keyword(s):  
Face Recognition ◽  
Detailed Analysis ◽  
Real Time ◽  
Face Detection ◽  
Recognition System ◽  
Detection Algorithm ◽  
High Accuracy ◽  
Accuracy Rate ◽  
Face Recognition System ◽  
The Face

Face detection is the key point in automatic face recognition system. This paper introduces the face detection algorithm with a cascade of Adaboost classifiers and how to configure OpenCV in MCVS. Using OpenCV realized the face detection. And a detailed analysis of the face detection results is presented. Through experiment, we found that the method used in this article has a high accuracy rate and better real-time.

The Method for Real-Time Length Measurement of Fiber Winding

2013 ◽  
Vol 380-384 ◽  
pp. 919-922
Author(s):  
Chen Xia Guo ◽  
Rui Feng Yang
Keyword(s):  
Real Time ◽  
Detection Algorithm ◽  
Moving Target ◽  
Fiber Optic Gyroscope ◽  
Optical Encoder ◽  
The Real ◽  
Time Length ◽  
Fiber Coil ◽  
Fiber Winding ◽  
Coil Winding

The paper discusess mainly how to accurately measure the real-time length of fiber optic gyroscope sensing coil (fiber coil) in the process of FOG coil winding. First, using the improved moving target detection algorithm to process the fiber images collected by machine vision. Secondly, using software algorithm to calculate the real-time radius of fiber winding. Finaly, combining the incremental optical encoder with real-time radius to calculate real-time winding length of fiber coil.

An Optimized Collision Detection Algorithm Based on Dynamic Bounding Volume Tree

2013 ◽  
Vol 846-847 ◽  
pp. 1372-1375
Author(s):  
Wei Zhao ◽  
Li Ming Ye
Keyword(s):  
Real Time ◽  
Collision Detection ◽  
Detection Algorithm ◽  
The Real ◽  
Bounding Volume

An optimized collision detection algorithm based on dynamic bounding volume tree is proposed in this paper. First this algorithm adopts spatial division to exclude objects which cant intersect to define the potential intersection areas. Then use a new dynamic OBB bounding volume tree to test whether the intersection happened between the objects in the same grid. At last, this algorithm improves the traditional overlapping test between the primitives for accurate collision detection to accelerate the detection between objects. Compared to the traditional collision detection algorithm based on OBB bounding volume. This algorithm can effectively improve the real-time of the collision detection without affecting the accuracy of original collision detection.

scholarly journals Multivariate-Time-Series-Driven Real-time Anomaly Detection Based on Bayesian Network

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3367 ◽  
Author(s):  
Nan Ding ◽  
Huanbo Gao ◽  
Hongyu Bu ◽  
Haoxuan Ma ◽  
Huaiwei Si
Keyword(s):  
Time Series ◽  
Anomaly Detection ◽  
Bayesian Network ◽  
Real Time ◽  
Multivariate Time Series ◽  
Research Direction ◽  
Detection Algorithm ◽  
The Real ◽  
Hierarchical Temporal Memory ◽  
Sensing Time

Anomaly detection is an important research direction, which takes the real-time information system from different sensors and conditional information sources into consideration. Based on this, we can detect possible anomalies expected of the devices and components. One of the challenges is anomaly detection in multivariate-sensing time-series in this paper. Based on this situation, we propose RADM, a real-time anomaly detection algorithm based on Hierarchical Temporal Memory (HTM) and Bayesian Network (BN). First of all, we use HTM model to evaluate the real-time anomalies of each univariate-sensing time-series. Secondly, a model of anomalous state detection in multivariate-sensing time-series based on Naive Bayesian is designed to analyze the validity of the above time-series. Lastly, considering the real-time monitoring cases of the system states of terminal nodes in Cloud Platform, the effectiveness of the methodology is demonstrated using a simulated example. Extensive simulation results show that using RADM in multivariate-sensing time-series is able to detect more abnormal, and thus can remarkably improve the performance of real-time anomaly detection.

A Face Based Real Time Communication for Physically and Speech Disabled People

2013 ◽  
pp. 1434-1460
Author(s):  
Ong Chin Ann ◽  
Marlene Valerie Lu ◽  
Lau Bee Theng
Keyword(s):  
Facial Expression ◽  
Real Time ◽  
Face Detection ◽  
Facial Expression Recognition ◽  
Recognition System ◽  
Detection Algorithm ◽  
Expression Recognition ◽  
Time Behaviour ◽  
The Disabled ◽  
Detection Stage

The main purpose of this research is to enhance the communication of the disabled community. The authors of this chapter propose an enhanced interpersonal-human interaction for people with special needs, especially those with physical and communication disabilities. The proposed model comprises of automated real time behaviour monitoring, designed and implemented with the ubiquitous and affordable concept in mind to suit the underprivileged. In this chapter, the authors present the prototype which encapsulates an automated facial expression recognition system for monitoring the disabled, equipped with a feature to send Short Messaging System (SMS) for notification purposes. The authors adapted the Viola-Jones face detection algorithm at the face detection stage and implemented template matching technique for the expression classification and recognition stage. They tested their model with a few users and achieved satisfactory results. The enhanced real time behaviour monitoring system is an assistive tool to improve the quality of life for the disabled by assisting them anytime and anywhere when needed. They can do their own tasks more independently without constantly being monitored physically or accompanied by their care takers, teachers, or even parents. The rest of this chapter is organized as follows. The background of the facial expression recognition system is reviewed in Section 2. Section 3 is the description and explanations of the conceptual model of facial expression recognition. Evaluation of the proposed system is in Section 4. Results and findings on the testing are laid out in Section 5, and the final section concludes the chapter.

The Research of Real-Time Image Acquisition and Sobel Edge Detection with FPGA

2011 ◽  
Vol 467-469 ◽  
pp. 703-708
Author(s):  
Yang Xu ◽  
Ping Li ◽  
Jian Jun Yuan ◽  
Min Xiang
Keyword(s):  
Edge Detection ◽  
Real Time ◽  
High Speed ◽  
Design Method ◽  
Image Acquisition ◽  
Detection Algorithm ◽  
The Real ◽  
Real Time Image ◽  
Sobel Edge Detection ◽  
Time Image

As the real-time image acquiring and processing need to be dealt with high speed, a image acquisition and preprocessing system is discussed in this paper. It is built on FPGA( field programmable gate array ) with pipelined and parallel technology. The configurable macro function modules provided by Altera company achieve the Sobel edge detection algorithm. The real-time display the image after edge detection works properly and The new design method shorten the development cycle.

Sensitive Webpage Filter Based on Multiple Filtering

2012 ◽  
Vol 241-244 ◽  
pp. 2891-2896
Author(s):  
Dong Mei Wang ◽  
Ming Ma ◽  
Yan Sun
Keyword(s):  
Real Time ◽  
Face Detection ◽  
Text Detection ◽  
Experimental Results ◽  
Skin Detection ◽  
Time Requirement ◽  
The Real ◽  
Time Performance

In order to improve the accuracy and real-time performance of webpage filtering, a sensitive webpage filter based on multiple filtering was designed. Firstly, the URL is gained from IE browser’s address bar by BHO technology; Secondly, match the webpage text with sensitive vocabulary database using SMA algorithm; Finally, use the sensitive image detecting algorithm combing face detection, skin detection, skin text detection and classification to filter sensitive images in the webpage. The Simulation experimental results showed that the sensitive webpage filter can effectively intercept and filter sensitive webpages, meeting the accuracy and the real-time requirement of webpage filtering.

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