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This paper proposed a new technique to determine the direction of a moving vehicle. In order to detect vehicles from road, concept of symmetrical descriptor is used to determine the ROI of each vehicle without using any motion features. This scheme proved to be advantageous as it does not require any background subtraction and efficiently works on real time applications. Once the vehicle is detected,...
Quantum key distribution (QKD) is the future of the cryptography world. The QKD was invented to increase the security rate when exchanging a private key. Since 1984, several experimental attempts to design protocols have been developed based upon the rule of physics. These QKD protocols were represented by different algorithms with limited ability to stand up against quantum attacks. This paper evaluates...
In this paper, the comparison of a novel key-point image descriptors such as DAISY, BRISK, A-KAZE and LATCH with the well-known SIFT and SURF descriptors are tested and compared for the stereo matching algorithm. The main idea of this paper is to present an independent, comparative study and some of the benefits and drawbacks of these most popular image descriptors on stereo images. These descriptors...
We propose in this paper, a robust blind watermarking algorithm for 3D mesh models by embedding bits of signature in distributions of vertex norms. Using the Fast Marching Method (FMM), we define regions on the mesh according to a reference location. This robust source location are selected by the salient point detector based on Auto Diffusion Function (ADF). We show that robustness against cropping...
In this paper, we propose a keypoint selection scheme for SIFT and KAZE features and demonstrate their effectiveness in object characterization. The selection criterion rely on the detectability, distinctiveness and repeatability of the keypoints. These scores are combined to give a keypoint saliency score. The keypoints are ranked according to their saliency values and weak/irrelevant keypoints are...
The development of the World Wide Web has not only facilitated the digital data processing and transmission but also has led to ease the illegal distribution and reproduction of digital multimedia online. Several techniques have been proposed to limit the illegal use of transmitted data such as steganography, cryptography and watermarking techniques. The watermarking approach consists in embedding...
In the recent years, human activity recognition is considered to be very important in video analysis researches due to the extensive requests from numerous users in different fields, such as public area surveillance, entertainment, human machine interaction and healthcare systems. In this work, we present a comparative study of two space-time interest points' detectors. These two detectors are evaluated...
Many camera calibration techniques require the detection of a pattern with known geometry, e.g., a checkerboard. Typically, the pattern must be fully contained in the field of view. This brings several limitations, one of which is that lens distortion can not reliably be estimated in outer image regions. This paper presents the occluded checkerboard pattern detector (OCPAD) to find checkerboards,...
The point feature detection is one of the most essential and fundamental tasks for underwater objects in ocean investigations. In this paper, a streamline AUV system that adopts the side scan sonar on board has been set up to explore our underwater visual tasks. Before attempting to detect the point features, the raw underwater sonar images must be preprocessed by shadow removal. The saliency map...
An existing deep learning architecture has been adapted to solve the detection problem in camera-based tracking for augmented reality (AR). A known target, in this case a planar object, is rendered under various viewing conditions including varying orientation, scale, illumination and sensor noise. The resulting corpus is used to train a convolutional neural network to match given patches in an incoming...
Optical flow methods integrating sparse point correspondences have made significant contribution in the field of optical flow estimation. Especially for the goal of estimating motion accurately and efficiently, sparse-to-dense interpolation schemes for feature point matches have shown outstanding performances. Concurrently, local optical flow methods have been significantly improved with respect to...
The terahertz band (0.3 to 3.0THz) has been found to be spectroscopically rich with many substances possessing strong and unique absorption signatures useful for chemical and biomedical sensing applications [1–4]. Photonics-based methods for spectrum analysis of the incident signal require complex time-domain spectroscopy systems achieving bandwidths more than 1THz but with resolution in GHz range...
Combining multiple observation views has proven beneficial for pedestrian tracking. In this paper, we present a methodology for tracking pedestrians in an uncalibrated multi-view camera network. Using a set of color and infrared cameras, we can accurately tracking pedestrians for a general scene configuration. We design an algorithmic framework that can be generalized to an arbitrary number of cameras...
Generic face detection and facial landmark localization in static imagery are among the most mature and well-studied problems in machine learning and computer vision. Currently, the top performing face detectors achieve a true positive rate of around 75-80% whilst maintaining low false positive rates. Furthermore, the top performing facial landmark localization algorithms obtain low point-to-point...
Based on the use of Fair M-Estimator, Fair robust detection algorithm was introduced, in order to get more robust detector. The proposed algorithm designed for LTE communication networks, which use spatial multiplexing transmission method, in Multiple Input Multiple Output systems. The channel environments used are Additive White Gaussian (AWGN) noise and heavy-tailed noise distributions as an actual...
A near-duplicate video clustering algorithm based on multiple complementary video signatures is proposed in this work. We use three kinds of frame descriptors: RGB histogram, color name histogram, and ternary pattern. Then, we convert each kind of frame descriptors for a video into a video signature based on the bag-of-visual-words scheme. Consequently, we have three signatures to represent the video...
Periodic inspections are necessary to keep railroad tracks in state of good repair and prevent train accidents. Automatic track inspection using machine vision technology has become a very effective inspection tool. Because of its non-contact nature, this technology can be deployed on virtually any railway vehicle to continuously survey the tracks and send exception reports to track maintenance personnel...
Vision-based registration methods for augmented reality systems recently have been the subject of intensive research due to their potential to accurately align virtual objects with the real world. The drawbacks of these vision-based approaches, however, are their high computational cost and lack of robustness. Motion blur and partial occlusion are considered two of the most critical problems that...
An innovative Successive-Detection Logarithmic Video-Amplifier for EW applications is proposed in this contribution, and a design procedure is described. A chip has been designed to explore GaN features in this field, leading to a 55 dB input dynamic range over the 3–17 GHz frequency band, and a ±1.7 dB logarithmic error at 10 GHz, with a deviation of ±0.9 dB over the whole frequency range.
Ihis paper proposes a new object recognition algorithm using robotic context information for humanoid robots. For more robust object recognition for less textured objects, we combine shape-based interest points and local appearance-based descriptors computed in a neighborhood around each detected interest point. The combination is used as a basic feature for matching, and candidate feature correspondences...
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