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Face detection and tracking algorithms are used in computer vision applications due to the fact that they provide reliable and fast results. This paper describes a model for face tracking in video sequences using Open Source Computer Vision (OpenCV) software library. To increase the face tracking accuracy, we propose a real time face tracking algorithm based on integration of Continuously Adaptive...
in today's scenarios world is struggling to develop new technologies for handicap people, so that they can also compete in the modern world. The Main existing solutions are prosthetic devices, voice recognition programs, screen readers, and hand gestures recognition, but developing new technologies faces various problems like time, cost and portability. This paper proposes a new perspective by enhancing...
The development of high resolution digital cameras for recording of still images and video streams has had a momentous influence on how communication and entertainment have developed during the recent years. Processing of human faces discovers many applications in various domains like law enforcement, security surveillance etc. A standard face processing system consists of face detection, face recognition,...
Palm reading is a traditional practice in China for a few thousand years to tell ones' fortune. Currently, there is a lack of mobile applications that allow palm reading to be done automatically and efficiently. This study aimed at developing an effective palm reading algorithm which can run in an Android platform efficiently. OpenCV and Java were used for the implementation. Our palm reading algorithm...
Web-based laboratories are promising to save the cost required to setup a hands-on laboratory in schools. There are several basic experiments in physics which help the students understand the basics of classical physics. However, the rising cost of laboratory infrastructure and costly equipment to conduct these experiments make it difficult for schools, in developing countries like India to build...
The top-down approach to system design allows obtaining separate specifications for each subsystem. In the case of vision systems, this means propagating system-level specifications down to particular specifications for e. g. the image sensor, the image processor, etc. This permits to adopt different design strategies for each one of them, as long as they meet their own specifications. This approach...
In the recent years, object detection and tracking has become an integral part of various applications such as Surveillance system, Vehicle navigation, and autonomous robot navigation. Especially in the field of surveillance system it has gained greater significance than ever before due to the recent terror activities taking place all over the world. Many efforts have been made to make the system...
In this paper, we describe a solution for monitoring of parking availability based on computer vision. It allows us to detect and track cars in a parking lot, while collected historical data helps us to predict availability status of parking during the day based on data mining techniques. Parking Monitoring System tracks availability based on an analysis of images from an outdoor surveillance camera...
In today's world of automation, real time face detection with high performance is becoming necessary for a wide number of computer vision and image processing applications. Existing software based system for face detection uses the state of the art Viola and Jones face detection framework. This detector makes use of image scaling approach to detect faces of different dimensions and thus, performance...
In this paper, we have proposed real time copyright protection algorithm using both visible as well as invisible watermarking schemes and also implementation of real time image processing techniques on Android and Embedded Platform. Smartphone camera technology has provided an efficient way for capturing digital images. Unauthorized sharing of data may lead to illegal usage of data for different purposes...
In this study, we proposed a multi-piecewise thinning description method. Thinning is a preprocessing technology often applied in the fields of binary image processing; it is used to transform thick elements in an image into lines with a single pixel width. Because lines include closed and open lines, an effective description method is required for post-processing procedures. Regarding the proposed...
In view of the vast scene and high-resolution image stitching problems, this paper studies a kind of Harris image stitching algorithm which is based on OpenCV configuration environment. First of all, the Harris corner detection is used to extract the feature points. Then Normalized Cross Correlation is used to rough match the feature points and RANSAC algorithm is used to eliminate error matching...
This paper presents a finger cut-off algorithm for accurate calculation of fingertip coordinates based on hand contours. It provides not only information on exact fingertip position but also orientation and lengths of all fingers in the image. Algorithm can be used for development of user interfaces based on human gesture analysis, such as TouchTable, multimodal gesture based user interface developed...
The purpose of this paper is to propose a method to abstract and classify vehicle data collected from vision sensors into road scenarios. The classified scenarios can be played back on specialized hardware designed to handle these scenarios to characterize its performance. Since the majority of existing automotive computer vision systems mandate real-time results, this study aims to introduce the...
This paper proposes a method of combining gradient and grayscale to detect drosophila and differentiate their courtship behavior so as to solve the problem of hard differentiation of drosophila with ting body and translucent wings: First, to design a dynamic background recovery method with pixel as the replacement unit, to pick up drosophila's bodies through grayscale method, and to pick up drosophila's...
Fluorescence has been proved to be a versatile and useful tool for animal in vivo imaging. It has been used widely in biomedical research and drug discoveries. With the recent development of the technology and instruments, the 2-D imaging system has been developed to a 3-D imaging in vivo. 3-D imaging will provide researchers detailed spatial information of the targets and its relationship with animal...
Canny algorithm is an excellent edge detection algorithm and is widely used in the field of image processing. But the usage of Canny algorithm on the embedded image processing platform has been restricted since it needs a large amount of computation. In this paper, a parallelized architecture of Canny algorithm and its implementation on FPGA are proposed based on the analysis of the computing procedure...
This paper describes and deduces the theory of Haar-like features, Integral image and AdaBoost algorithm, which were proposed by Paul Viola, and then researches its improvement. We combine Microsoft Visual C++6.0 with OpenCV Function library to develop the software, and achieve the function of real-time face detection. According to experimental results, we can conclude that the improved algorithm...
One of the drawbacks of currently available smart camera solutions is the gap in comfort and power between software development on the PC and on the embedded system side. This paper describes efforts of bringing high level computer vision software from PCs to the constrained environments of smart cameras. We show that software development with Intel's Open Source Library OpenCV on smart cameras is...
Tracking moving targets in sequence images is an essential key technology and one of the hot research topics in Computer Vision. This system is based on an embedded system platform named Embedded Star and makes full use of the OpenCV (Intel?? open-source computer vision library)to implement and optimize the Mean Shift tracking algorithm. At last, it achieves the objective of real-time tracking and...
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