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Image is a visual representation of object, or a scene which can be seen by human eyes. Image can be created and stored in electronic form. Image is a two dimensional function f(x, y) where, x and y are spatial co-ordinates and amplitude of images is defined in intensity level of each pixel. Image fusion means merging relevant information from different images to create one new image which is more...
In this article, we propose a new optimized embedded architecture based soft-core processors oriented to visual attention based object recognition applications. Our recognition approach relies mainly on two specific modules for online processing of acquired images in real-time: a novel saliency based feature detector/descriptor module and then an object classifier module. To deal with such parallel/pipeline...
In recent years, face detection is widely used in various fields, such as face recognition, image focusing, and surveillance systems. This study proposes a real-time face detection system based on naive Bayesian classifier using Field-programmable gate array(FPGA). The detection system divided into three main parts, feature extraction, candidate face detection, and false elimination. First, downscale...
This paper presents novel hardware architecture with low-complexity color conversion scheme and parallel processing of red region detection for the applications of automatic traffic sign detection system. By the inherent parallelism of the various red region detections, we designed a fully pipelined architecture implemented on the FPGA platform. The proposed architecture enables a real-time traffic...
Traffic signal detection has long been an important function in an advanced driver assistance system (ADAS). This paper presents a complete system design based on the techniques of blob detection, histogram of oriented gradients (HOG) and support vector machine (SVM). Blob detection is applied to detect potential candidates, and then HOG and SVM is for feature classification. A novel hardware/software...
This paper presents a vision-based fingertip writing digits detection and recognition system using a CMOS camera and FPGA implementation. It is a real-time signature detector, since the image process algorithms are all executed in Verilog code. The experimental results show that the system can successfully recognize fingertip-numeral-writing with a accuracy rate of 95.8%.
This paper develops a hardware-efficient color segmentation algorithm that is especially suitable to implement on hardware for face detection. Since the modulized design is adopted in the proposed algorithm without floating-point operation, the computational cost is directly reduced for hardware design. The proposed algorithm consists of a color space modeling module and a feature enhancement module...
This paper proposes a novel hardware structure and FPGA implementation method for real-time detection of multiple human faces with robustness against illumination variations and Rotated faces. These are designed to greatly improve face detection in various environments, using the Adaboost learning algorithm and MCT techniques, Rotation Transformation, which is robust against variable illumination...
A new photo retrieval system for mobile devices is proposed in this paper. The system can be used to search for photos with similar spatial layout effectively and efficiently, and it adopts a new algorithm that extracts features of image regions based on hardware K-Means clustering. Since K-Means is computationally intensive for real-time applications in embedded systems, it is necessary to accelerate...
Tonsillitis disease is the cause of heart attack and pneumonia. It is also a sign of suspected symptom of heart disease. To improve data transfer rates, this paper proposes VLSI architecture by using color model for early-state tonsillitis detection. In this method, input image is divided into 9 blocks. Each block has 3times3 window which send color data and pixel address to computation box. The system...
In this paper, a general-purpose similarity-measure recognition system using associative processor (AP) chips for real time hand gesture recognition is proposed. In order to get hand gesture feature vectors, the system adopts a vision-based hand tracking approach by using hand gesture segmentation algorithm. The system downloads those feature vectors data from large hand gesture feature vectors data...
In this paper we present a system for appearance-based topological mapping and localisation using vision data. The algorithms are designed for robots which are equipped with FPGA cameras. Such cameras do not provide the entire image to the robot but simple image features like colour histograms.
This paper demonstrates the use of a single chip FPGA for the extraction of highly accurate background models in real time. The models are based on 24 bit RGB values and 8 bit grayscale intensity values. Three background models are presented, all using a camcorder, single FPGA chip, four blocks of RAM and a display unit. The architectures have been implemented and tested using a Panasonic NV-DS60B...
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