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This paper proposed a technique to avoid collisions in the image sequences captured by stereo camera. It has to filter out the independently moving objects by performing ego-motion computation of the vehicle, so that the front moving objects and possible dangerous conditions may be detected using this collision avoidance system. The stereo computation generated the sparse disparity map of the object,...
This paper presents an approach to the ground object tracking problem of the low cost AR.Drone quadrotor via its integrated vision systems. It consists of three major components: (1) on-board vision based object detection and localization, (2) comprehensive empirical models of X-Y coordinate motion of the quad rotor and (3) closed-loop PD controllers on the ground station to generate steering commands...
This paper presents the architecture of a FPGA-based efficient image processing system suited to Wireless Multimedia Sensor Networks. The system consists of two major processing elements: a customized processor for the networking functions and an image processing block. The latter enables the system to detect and extract any updated objects in captured images in real-time. The proposed architecture...
Embedded systems have limited processing power, memory and energy. When camera sensors are added to an embedded system, the problem of limited resources becomes even more pronounced. In this paper, we introduce two methodologies to increase the energy-efficiency and battery-life of an embedded smart camera by hardware-level operations when performing object detection and tracking. The CITRIC platform...
Object detection is a vital task in several emerging applications, requiring real-time detection frame-rate and low energy consumption for use in embedded and mobile devices. This paper proposes a hardware-based, depth-directed search method for reducing the search space involved in object detection, resulting in significant speed-ups and energy savings. The proposed architecture utilizes the disparity...
In order to detect the target position real-timely,a real time target detecting system based on tms320F2812 DSP and Spartan3-SC3S400 FPGA is designed.The design,hardware structure,a target detecting method and software char flow of FPGA and DSP are presented.The system is tested by a 1K×1K image,the processing time is 1.3ms, experiments results show that the method is feasible,the simple design and...
Visual Sensor Networks (VSNs) enable enhanced three-dimensional sensing of spaces and objects, and facilitate collaborative reasoning to open up a new realm of vision-based distributed smart applications including security/surveillance, healthcare delivery, traffic monitoring, just to name a few. However, such applications require sensor nodes that can efficiently process large volumes of visual information...
This paper proposes a method of lane marker detection for platooning. In order to reduce air resistance, it is desirable to shorten the distance between two vehicles. If the vehicular gap is very short, conventional methods, which detect lane markers ahead in images captured from a front camera, are useless because lane markers are occluded by a vehicle in front. To solve this problem, the proposed...
We present a new approach that realizes an image-based fault tolerant distance computation for a multi-view camera system which conservatively approximates the shortest distance between unknown objects and 3D volumes. Our method addresses the industrial application of vision-based protective devices which are used to detect intrusions of humans into areas of dangerous machinery, in order to prevent...
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...
Computer architectures for advanced driver assistance systems have become increasingly important in the automotive industry. They target safety-critical applications, which process large amounts of incoming sensor data. This is especially the case for image processing applications, which must handle several uncompressed image streams from multiple cameras. As one possible target architecture, FPGAs...
Introduces a prototype of wearable observation supporting system for helping human complete the observation and recognition tasks based on wearable camera. The research presented here addresses special challenge problems encountered in wearable computing environment. The implementation of new architecture and system process flow with functions will help the wearers real-time face detection, recognition...
In this paper a new anti-aliasing approach for motion-based object detection using linear shift invariant (LSI) filters is presented. Mainly originating from the field of signal processing, LSI-filter-based motion detection has been topic of research for a long time, though due to low computational power of contemporary computers the developed systems have been unfeasible for application in mass products...
This paper presents a new hardware-efficient method of eliminating aliasing artifacts in time direction occurring in filter results of velocity or directional filters applied to image sequences recorded by a camera. Aim is to deliver reliable input data for object detection in a driver assistance system, for example. Applications designed for mass products like these demand low production costs and...
A novel approach for counting people passing through a region where is surveilled by a parallel-fixed binocular camera is proposed in this paper. Firstly, two virtual counting lines are set to obtain four line space-time gray images. Then an integrated algorithm based on binocular stereovision and regional gray projection is proposed to extract and split overlapped moving objects in complex counting...
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...
As background subtraction is a common computer vision task; we analyze the usual pixel-level approach. We develop an efficient adaptive algorithm system based on pixel comparison. Recursive comparison of pixel is used between the present frame and the reference frame. This algorithm is implemented using image processing in MatLAB Environment and we work on making it a real-time applicable tool for...
This paper presents a high-speed video transfer scheme and a real-time infrared spots detection algorithm designed for field programmable gate array (FPGA) implementation. Rather than IEEE 1394a, two IEEE 1394b interfaces are alternatively used to ensure high-resolution image transfer in real time. In order to execute fast infrared spots detection, a parallel algorithm that processes four pixels per...
This paper proposes a digital scene simulator system for point target detecting and tracking. The hardware platform mainly consists of FPGA and DSP, which are grouped together in an efficient way. And a target detecting and tracking algorithm is proposed and implemented in the platform. Experimental results show that proposed system can simulate deep out space scene and test an algorithm that is efficient...
This paper presents an FPGA-based parallel hardware architecture for real-time face detection. An image pyramid with twenty depth levels is generated using the input image. For these scaled-down images, a local binary pattern transform and feature evaluation are performed in parallel by using the proposed block RAM-based window processing architecture. By sharing the feature look-up tables between...
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