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Chroma-key is a robust and important technique for processing image or video. This technique gives immersive feedback on Video, TV production and weather forecast. Chromakey method and hardware architecture for Chroma-key effect in real-time using Xilinx system generator is demonstrated in this paper. VLSI architecture is proposed for this method, which is implemented on FPGA based on K-means method...
In this paper we present a biologically inspired rotationally-invariant end-to-end recognition system demonstrated in hardware with a bitmap camera and a Field Programmable Gate Array (FPGA). The system integrates the Ripple Pond Network (RPN), a neural network that performs image transformation from two dimensions to one dimensional rotationally invariant temporal patterns (TPs), and the Synaptic...
In this paper we present a real-time skin region detection method for high resolution video on embedded platforms. In the implementation, the region of interest is detected using two algorithms, running in parallel. One algorithm eliminates the background and the other one, detects the skin color patches in the image. To allow images to be processed rapidly on hardware, several techniques were employed...
The implementation of a dual image processing pipeline camera on a state-of-art FPGA system is described. This camera can simultaneously acquire dual images of a scene and process, analyze and merge both images to enable a range of realtime image enhancement algorithms to be explored. Several examples of image enhancement algorithms implemented on the prototype camera are described.
The design and the implementation of algorithms on FPGA-based architectures, is a complex task, above all for image processing. Many vision applications (video monitoring, obstacle detection from a vehicle) require real time performance. This paper analyzes only a classical function involved in these applications: pixel characterization by an attribute vector, and pixel classification as belonging...
This paper describes the initial steps in the development of an object detection system for manipulation purposes, to be embedded in a mobile robot. The goal is to design a robotic system to aid workers in a manufacturing plant. The proposed implementation involves the integration of a Field Programmable Gate Array (FPGA) based electronic module with the manipulator arm of the robotic platform. The...
This paper proposes an FPGA-based System-on-Chip (SoC) architecture with support for dynamic runtime reconfiguration. The SoC is divided into two parts, the static embedded CPU sub-system and the dynamically reconfigurable part. An additional bus system connects the embedded CPU sub-system with modules within the dynamic area, offering a flexible way to communicate among all SoC components. This makes...
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...
Measuring a vehicle's speed using a video image is an important technique in an intelligent transportation system. This paper presents a hardware implemented vehicle speed measurement (VSM) system. The operation of the system consists of three steps. First, we remove vehicles from a series of captured images to create a background. To do this, we introduce a simplified exclusion algorithm optimized...
This article focuses on realizing an object tracking and image capture system on a FPGA. The system processes each picture with size of 640×480 pixels which is coming from input image data captured by an external CCD camera. Firstly, the RGB format of input image data is transformed to HSV format through color space transformation. Secondly, the value (also called intensity) of HSV format image is...
Edge detection operation is an essential part in the field of image processing. There are few ways to improve the performance of edge detection. This paper proposes a FPGA-based approach Sobel edge detection. An image is captured by a CMOS camera and converted into RGB color space and the image is converted into grayscale to obtain image intensity for edge detection. The proposed Sobel edge detection...
This paper presents a prototype FPGA design for detecting userpsilas presence in front of computer-based video camera. The hardware implements basic image processing techniques (filtering, color-based segmentation, thresholding) producing a signal when a human-skin color segment is detected in the image frame. Experiments show that the design allows real-time user monitoring (30 fps) with 82% detection...
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