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Hand Gesture is a popular way to interact or control machines and it has been implemented in many applications. The geometry of hand is such that it is hard to construct in virtual environment and control the joints but the functionality and DOF encourage researchers to make a hand like instrument. This paper presents a novel method for fingertips detection and centres of palms detection distinctly...
This paper presents a real-time document image retrieval method for a large-scale database with Locally Likely Arrangement Hashing (LLAH). In general, when a database is scaled up, a large amount of memory is required and retrieval accuracy drops due to insufficient discrimination power of features. To solve these problems, we propose three improvements: memory reduction by sampling feature points,...
Focusing systems play an important role in a variety of optical measurements and detection instruments. In this paper, several kinds of auto-focusing methods were described and the relevant focusing evaluation functions were introduced based on image processing methods. An auto-focusing system based on image processing was designed by using the TMS320F2812 digital signal processing chip as a platform...
Real-time 3D content distribution over a network (either LAN or WAN) has many possible applications, but requires facing several challenges, most notably the handling of the large amount of data usually associated with 3D meshes. The scope of the present paper falls within the well-established context of real-time capture and streaming of OpenGL command sequences, focusing in particular on data compression...
This paper presents a method and apparatus for building dense visual maps of large scale 3D environments for real-time localisation and navigation. A spherical ego-centric representation of the environment is proposed that is able to reproduce photo-realistic omnidirectional views of captured environments. This representation is novel in that it is composed of a graph of locally accurate augmented...
This paper presents a study of the real-time control conditions for a robotic system with visual servo control. The system is based on an industrial manipulator with a modified controller allowing real-time joint-level control. The work is particularly concerned with delays and path deviations. The focus is on the Line-of-Sight based path tracking controller. The paper describes an analysis of the...
When the object move fast or the frame rate of camera is low, the Mean shift tracker proposed may lost it. In order to overcome this disadvantage, an improved method is presented. Firstly we transform the image by the pyramid algorithm and computer Integral histogram of the low resolution image. Secondly, find the optical matching point as coarse object location through histogram match, then use Mean...
With respect to the limited field of view in the visual environment sensory perceptual system of the traditional three-dimensional reconstruction system, as well as such defects as high price, big size, cumbersome shape and low rate of imaging, a three-dimensional reconstruction system is designed based on panoramic vision and a two-dimensional ranging laser. By adopting the linear laser technology,...
In this paper, we present a long-term monitoring of moving and high deformable objects with fast thermographic infrared imaging, in a process of developing an automated image analysis of laboratory animals' postures and activities. For this several days tracking, we tackle the object deformations with a model-based articulated body parts scheme and the two-stage tracking and segmentation technique...
Next-generation gaming systems enable users to interact with the consoles without the need to touch a game controller. To achieve a more interesting game for two players, we present an interactive boxing game system using motion sensing and analysis. Our system can be described in twofold: (1) Hardware structure, and (2) Software flowchart, which integrate image and video processing techniques for...
We present a real-time photo-realistic 3D mapping framework for micro aerial vehicles (MAVs). RGBD images are generated from either stereo or structured light cameras, and fed into the processing pipeline. A visual odometry algorithm runs on-board the MAV. We improve the computational performance of the visual odometry by using the IMU readings to establish a 1-point RANSAC instead of using the standard...
In many camera-based robotics applications, stabilizing video images in real-time is often critical for successful performance. In particular vision-based navigation, localization and tracking tasks cannot be performed reliably when landmarks are blurry, poorly focused or disappear from the camera view due to strong vibrations. Thus a reliable video image stabilization system would be invaluable for...
In this paper, we propose a confidence-based depth maps fusion approach for multi-view 3D reconstruction. We present a four-stage method to refine the fused depth map to get a higher accuracy. At first, we utilize the off-the-shelf Kinect device to acquire the raw multi-view depth maps quickly. To improve the accuracy, we compute the confidence values for the estimated depth maps in the second stage...
Unattended surveillance of public transportation infrastructures that may generate alarms in the case of a destructive event, and provide information on the current status of the infrastructure as well as on the short interval before the event, can empower the Search and Rescue teams with useful information that may save lives increasing their overall effectiveness. This paper presents a novel system...
The space environment is the main field of the space-aeronautics incorporation information battle, and it is the information base and resource guarantee of utilizing space and controlling space. The priority of sensor task is the important foundation for space multi-sensor scheduling. According to the characteristics of motion target surveillance mission, sensor scheduling problem of motion target...
This paper presents a novel real-time approach for robust high precision and high quality depth estimation. It extends recent work on real-time Patch-Sweeping by combining the advantages of a robust hybrid stereo-based disparity estimator with the high accuracy of the Patch-Sweeping approach. It overcomes limitations of the existing Patch-Sweep approach, such as limited search range. Further, it implicitly...
This paper presents a video-based approach to traffic analysis and monitoring in night light conditions. In this kind of scenarios the headlights of the vehicles are the main features of the image taken from an urban or inter-urban traffic camera. The body of the vehicles is very low contrasted and many of the algorithms used in day-time decrease their performance. In our algorithm, we detect car...
In scenes of significantly varying lighting conditions, under and over exposed regions can suffer from a loss of information. Similarly, the presence of spatial depth within a scene can cause some image regions to be out of focus. Several methods of addressing these issues exist, including tone mapping for true high dynamic range representation and exposure fusion for combining varied-exposure low...
Auto-focusing is a key feature of modern camera systems that ensures a focused image is captured without the need for any user intervention. Passive auto-focusing is achieved based on a measure of sharpness or a sharpness function that is extracted from a series of images at different focal positions. With the rapid growth of stereo camera systems for 3D applications, this paper introduces a sharpness...
Background subtraction techniques model the background of the scene using the stationarity property and classify the scene into two classes of foreground and background. In doing so, most moving objects become foreground indiscriminately, except for perhaps some waving tree leaves, water ripples, or a water fountain, which are typically “learned” as part of the background using a large training set...
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