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With the growing number of automobiles, it brings both the problem of difficult parking and the increasing traffic accidents in parking process. As one of the important issue in the parking assist system, the detection method of nearest point from the obstacle to automobile body is studied. On the basis of analyzing and comparing several methods of automobile distance detection, a nearest point detection...
A fast method for mobile robot 3D SLAM (simultaneous localization and mapping) is presented to address the problem of 3D modeling in complex indoor environment. According to the camera calibration model and the image feature extraction and matching procedure, the association between two 3D point clouds can be established. On the basis of the RANSAC (random sample consensus) algorithm, the correspondence...
Since the parking resources become more and more intense, how to make effective management of parking spaces has become a topic for the intelligent transportation system. Compared with the infrared detection and the sensing coil detection, the video analysis method has the advantages of saving hardware cost, easy installation and extending other functions and so on. The algorithms of analyzing location...
In this paper, we address the problems of camera pose estimation accuracy and runtime efficiency by incorporating an elite selection method and a voting system to a conventional visual odometry (VO) method, called the “enhanced VO algorithm”. The use of elite selection method improves the efficiency of perspective-3-point (P3P) algorithm by only employing an elite subset of landmarks to estimate the...
This paper focuses on a novel approach for handling radical overhaul of anomalous behavior in a visual surveillance network. The initial objective is online detection of anomalies using a Kernel-based online anomaly detection algorithm. The algorithm will operate onimages collected from a moving camera over a span of space and time. The proposed algorithm established based upon machine learning principles...
The feature matching and tracking of binocular vision inter-frame images have been divided into three parts in this paper. Before image feature extraction, an image binarization segmentation method based on HSV color space is used to extract the target in order to reduce the searching range of feature points and improve the matching efficiency. About feature matching, a modified ORB method combining...
In this paper, we propose an image registration algorithm based on improved SIFT (Scale-Invariant Feature Transform) algorithm and essential matrix estimation based on RANSAC (Random Sample Consensus) and AC-RANSAC (A Contrario RANSAC) algorithm. So that in the 3D reconstruction, we can directly restore the parameters of the camera by using the essential matrix model estimated by image registration...
The research and application of projection interactive system based on different application scenarios has been a great development. In order to achieve natural and friendly interaction with the scene and to improve user experience, a camera-projection interactive system based on binocular vision is designed and implemented in this paper. Firstly, a foreground segmentation for moving objects is achieved...
Image stitching is an attractive method to merging multiple images. It can produce a wide-angle panoramic photograph while maintaining the quality of the source images. The process is simply performed by overlapping part of the images which contain common scene. Today, panoramic image stitching is widely used in applications such as 360-degree cameras and virtual reality photography. If the stitching...
Mosquito borne diseases have been amongst the most important healthcare concerns since time. An important component in combating the spread of infections in any geographic region of interest has been to identify the type of species that are prevalent in that region. As of today, dedicated personnel are assigned in most (if not all nations) to trap samples and identify them. Unfortunately, the process...
This paper defines the SIFT-like features by analogy and proposes a novel method to accelerate its matching process. The acceleration strategy is to compute a characteristic value for each key point descriptor and divide a key point set into different subsets making use of this value. The approximate nearest neighbor (ANN) search method is applied to improve the efficiency of matching. The performance...
This article develops a set space visual servoing method that is quiet different from state-of-the-art approaches. Our approach does not require complex image processing techniques for the extraction, matching and tracking of image features. Instead, it only requires a simple matching algorithm and builds visual errors in set space. Each error is mainly related to one degree of freedom of the camera;...
In today's world data represented in the form of a video are prolific and has increased the requisite of storage devices unconditionally. These video sets takes up a huge space for amassing data and takes a long time to ascertain the content that requires a higher cognitive process for content search and retrieval. The efficient method for storing video data is to remove high-degree redundancies and...
In order to meet the requirement of high-compact and hard-real-time outdoor navigation system, to solve the problem of invalid satellite navigation during GPS-denied period, a multi-sensors integrated navigation system is designed in this study. The system is fused with accelerometer, gyroscope, satellite receiver, binocular vision camera and barometer. The Kalman Filter, which is designed for model...
Nowadays, the consumer reviews for various products are playing a very important role not only for consumers but also for the firms. A large collection of consumer reviews is now available on the internet. These reviews are very helpful to get quality information about the products. The consumer reviews are used as a feedback by the firms in their product development strategies and consumer relationship...
Image registration is an important and fundamental problem in computer vision and image processing. Although there are currently a large number of image registration algorithms such as RANSAC and its extensions, image registration under very noisy conditions remains difficult when it cannot obtain enough number of correct corresponding points. This paper solves this issue by introducing a random resample...
To meet the performance requirements of real-time and high accuracy for autonomous docking of modular self-reconfigurable CubeSats, a vision-based method is proposed by setting a cooperative target on a CubeSat and combining with Fractional-Order Darwinian Particle Swarm Optimization algorithm. Firstly, a monocular camera is utilized to grab images of the cooperation target. Then an image intelligent...
Feature representation and matching are two challenging problems for person e-identification problem. Designing a suitable feature representation method, and the according high efficiency matching scheme is meaningful. In this paper, a new person re-identification method was put forward. First, an improved BOF method was proposed, it use SURF algorithm to extract the preliminary feature and generate...
In this work, an autonomous surveillance system providing ultra wide angle (UWA) video information is presented using multi-UAV platform. Towards this end, a fleet of UAVs are initially deployed into appropriate formation (such as triangle, diamond, or line) with cameras pointing outwards to cover the region of interest (ROI). In aid of image processing technique, the UAVs formation will be further...
This study presents a vision-based approach for fingertip tracking on multi-touch tabletop which combines infrared and depth image processing. This approach intends to tackle two main issues on tabletop interaction: improve the performance for real-time applications and increase fingertip detection accuracy. A prototype using this fingertip tracking method was implemented with a depth and infrared...
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