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Recently, advanced driver assistance system becomes an important area for automotive industries. Especially, stereo vision-based system has been actively researched. However, in practice, the system has a difficulty in getting correct information because the images from multiple cameras may contain different exposure levels, illumination changes, and lighting geometry differences. To isolate these...
Wireless Multimedia Sensor Networks (WMSN) has been one challenge category of special wireless sensor networks. Different-view videos captured by cameras in various different locations are typical multi-view videos. In order to reduce transmission quantity and conserve nodes' energy, traditional multi-view video coding approaches are long suitable for WMSN. In this paper, we propose a multi-view video...
Depth estimation is one of the new functions provided by hand-held light field cameras. However, the quality of depth estimation is very sensitive to noise, which is especially a problem for scenes under low light conditions. In this paper, we propose a depth estimation flow for light field data, which can be fully-automated and no noise characteristics are required a priori. The results of Root Mean...
A critical element of any Time-of-Flight (ToF) 3D imaging system is the illumination. Most commercial solutions are restricted to short range indoor operation and use simple illumination setups of single or few LEDs, grouped together. Recent developments towards medium and long range ToF imaging, ready for outdoor operation, bring the need for powerful illumination setups, constituted by many emitters,...
Stereo Vision has created an impact on research in the area of computer vision system. It has many applications like 3D scene reconstruction, mobile robotics to detect obstacles, surgical robotics, etc. This paper focuses on various region based algorithms for stereo vision. They are used for generating disparity map. This disparity map is used to find out the distance of the objects in the images...
This paper describes a novel approach to the problem of autonomous Robot Navigation in environments having less or no source of illumination. We have aimed at depth estimation and object recognition aspects, using the bio-inspired Dynamic Vision Sensor (DVS) asynchronous time-based image sensor (ATIS) silicon retina. Experiments were conducted in a dark environment using the ATIS camera, coupled with...
Active Speaker Detection(ASD) in a noisy environment is a challenging problem. Audio modality does not help significantly when the level of noise is high, so usage of bimodal information like vision and speech together for ASD in a meeting room scenario is explored in this work. The method proposed in this work uses an audio-visual sensor array placed in circular geometry. Time difference of arrival(TDOA)...
Image tampering is nowadays at everyone’s reach. This has determined an urgent need of tools capable of revealing such alterations. Unfortunately, while forgeries can be operated in many different ways, forensic tools usually focus on one specific kind of forgeries. Therefore, an effective strategy for tampering detection and localization requires to merge the output of many different forensic tools...
Learning the scene correlation of uncalibrated static cameras is in increasing demand for intelligent surveillance system, such as making a inference of topology, or allocating computation resources for video retrieval in multirobot system. However, many existing approaches learn the scene correlation among camera views by camera calibration or tracking targets across cameras. They seldom learn the...
It is a significant problem to learn the scene correlation of uncalibrated static cameras, which can be applied for intelligent surveillance systems with a large scale camera network. Some existing approaches learn the scene correlation among camera views by tracking targets across cameras. They seldom analyze the scene correlation among cameras with appearance modeling for moving targets. In this...
This paper deals with design of hybrid software and hardware sensor, which can be used for mobile robots visual odometry task. The paper is focused to sensing raw data only. This approach combines onboard hardware sensors - accelerometer, gyroscope, magnetometer and camera with software module, which is mainly based on computer vision. Output from vision system is relative change of position and rotation...
We present a new method for correcting over-exposed areas in images. The method takes advantage of the strong correlation between the RGB color channels and relies on the observation that in images the RGB components are often not over-exposed at the same position. Our solution operates on line profiles, making it ideally suited for hardware implementations. In addition to its low computational complexity,...
This work is part of developing a new type of radars which is based on stereoscopic effect obtained by using two cameras. The main work is to develop an algorithm for speed estimation. We begin by detecting motions and tracking vehicles in order to identify the vehicle in the next frame. Stereoscopic pictures allow us to calculate the distance from the cameras to the chosen object within the picture...
Object of this research is to test image processing algorithm under actual usage condition for assisting device that transmit time-varying spatial information of the pedestrian crosswalk to guide safe road crossing for person with impaired vision. Based on the opinion acquired from the hearing of six persons with impaired vision, the concept design of a pedestrian crosswalk guide was drawn as a wearable...
It is well known that microcirculation alters with age. These alterations can be evaluated by monitoring microvas-cular blood flow. Laser speckle contrast imaging (LSCI) is a recent optical imaging modality to monitor microvascular blood flow. From LSCI, the average velocity of microvascular moving scatterers (mainly red blood cells from the microcirculation) can be evaluated when assumptions on the...
The future of robotics strives to embed robots more and more to human environments every day. One of the tasks in which the robots show a potential application is in the monitoring and surveillance of houses. To achieve this goal, they need to gather information from the environment in a similar way humans do, since the idea is that humans could interact with them the same way a person interacts with...
This paper describes an efficient hardware implementation of a cross-correlation algorithm on a Field-Programmable Gate Array (FPGA) platform with the purpose of visually identifying coins. This method has the ability to compare images obtained via a video camera with those stored in memory, thereby, accepting/rejecting coins-under-test at the very high-speed demanded by today's coin validation mechanisms...
Static video summarization techniques aim to represent the salient content in a video by extracting a set of key-frames for presentation to the user. An efficient key-frame extraction process is thus vital for effective video summarization, browsing and indexing in content-based video retrieval systems. In this paper, a three phased approach for key-frame extraction is proposed which aims to represent...
Due to evolution of prevalent sophisticated digital video editing software it has become easier to forge any video. Copy-Move forgery is a special kind of video forgery technique, in which copy-move of the frame region is performed in intra frame or inter frames. This copy-move introduces a special kind of relationship between the original frame segment and the pasted one, which provides clue for...
This paper presents a unique system specifically made to capture and create image mosaics of flat, wide, and shallow coral reefs at the Tubbataha Reefs Natural Park to assist in the rapid assessment of the reef scars caused by the grounding of the USS Guardian last January 17, 2013. This system is composed of an array of underwater cameras coupled with a GPS and depth logging device, and a mosaicking...
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