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In this paper we present a novel algorithm for fast and robust stereo visual odometry based on feature selection and tracking (SOFT). The reduction of drift is based on careful selection of a subset of stable features and their tracking through the frames. Rotation and translation between two consecutive poses are estimated separately. The five point method is used for rotation estimation, whereas...
Using the CN Tower lightning data acquired on September 5, 2014, the performance characteristics of the North American Lightning Detection Network (NALDN) are evaluated. The evaluation includes polarity, stroke detection efficiency, location accuracy and peak current estimation. On that day, the tower was struck with 24 flashes, based on video records. However, only nine of these flashes were found...
In this paper we explore ways to address the issue of dataset bias in person re-identification by using data augmentation to increase the variability of the available datasets, and we introduce a novel data augmentation method for re-identification based on changing the image background. We show that use of data augmentation can improve the cross-dataset generalisation of convolutional network based...
This paper describes a new approach to detect and track maritime objects in real time. The approach particularly addresses the highly dynamic maritime environment, panning cameras, target scale changes, and operates on both visible and thermal imagery. Object detection is based on agglomerative clustering of temporally stable features. Object extents are first determined based on persistence of detected...
Existing background model based change detection methods have difficulty in distinguishing between foreground and background changes when both changes are caused by the same factors. We explore the possibility of using a light field camera to resolve the problem of existing single-view camera-based approaches. We present a new change detection strategy that processes light rays captured by the light...
Detection, classification, and tracking of people and vehicles are fundamental processes in intelligent surveillance systems. The use of publicly available data set is the appropriate way to compare the relative merits of existing methods and to develop and assess new robust solutions. In this paper, we focus on the maritime domain and we describe the generation of boat classification data sets, containing...
We present a fully distributed framework for multi-target tracking with bandwidth-limited (wireless) camera networks. Cameras self-organize into coalitions to perform the task of distributed target tracking via local interactions. Each camera joins the coalitions based on considerations of marginal utility, which takes into account tracking confidence and communication performance in the neighborhood...
This work presents an approach to detect moving objects from Unmanned Aerial Vehicles (UAV). A common framework for most of the existing techniques is using image registration to warp consecutive frames as an ego-motion compensation step and applying frame differencing to detect the moving objects. Assuming a planar scene, we propose the exploitation of telemetry information available from Global...
Person re-identification is an important computer vision task with many applications in areas such as surveillance or multimedia. Approaches relying on handcrafted image features struggle with many factors (e.g. lighting, camera angle) which lead to a large variety in visual appearance for the same individual. Features based on semantic attributes of a person's appearance can help with some of these...
In this paper, we propose a skeleton and gesture-based user authentication system using depth cameras. When a user would like to register, our system will capture a user's skeleton and gesture information and store it into the database. When authenticating a user, our system will capture the user's skeleton and gesture information and compare it with the data stored in the database. Experimental results...
Precision size measurements are widely used in industrial production such as candies and cookies in the food industry. However, it is a challenge to measure irregular objects in a universal device because of poor adaptability and low precision. In this paper, a high-precision measurement device for irregular objects based on machine vision is designed. It consists of a rotational adjustment platform,...
In the paper the idea of the visual self-localization of mobile robots based on the estimation of image similarity is discussed. It is assumed that a rough position of the mobile robot is known e.g. from the built-in GPS device. Assuming known orientation of the robot, the main advantage of the application of image analysis algorithms is the increase of the self-localization accuracy. The basic idea...
With the development of computer vision technology, many researches about feature detectors and descriptors have been published in the last decades. In order to explore what kind of approaches are appropriate for unmanned aerial vehicle (UAV) onboard video processing, the popular feature detectors and descriptors are analyzed and combined with each other. Three practical videos captured in indoor...
By using online measurement and inspection, the efficiency of production in product manufacturing can be greatly improved. However, most of the available methods for the measurement and inspection of parts are offline in practice, which results in either time consuming or expensive inefficiencies. In this paper, a vision-based inspection approach is proposed, which is designed to measure and inspect...
In addition to the traditional video surveillance, various audio processing techniques can also be added to the existing CCTV cameras. They can be used as additional features to help in analyzing the scene better and autonomously detecting violence or any unwanted activity in the scene. For this purpose, a deep learning based scream sound detection approach is proposed in this paper. MFCC features...
Most of the landslide and flood prediction models require the Digital elevation Model (DEM) as the input. DEM is the digital representation of topographic and manmade features located on the surface of the earth. DEM also needed in hydrologic analyses, resource management and environmental assessment and including interferometry synthetic aperture radar (InSAR) applications. The increased use of DEM...
The author has introduced a generic method for photogrammetric survey using a multi-rotor unmanned aerial vehicle (UAV) for mapping a simulated model and slope area. The objective of this study is to assess the capabilities of UAV for slope mapping. This study only concentrates on multi-rotor UAV, which is known as Hexacopter. Several ground control points (GCP) and checked point (CP) were established...
Array jet dispensing technique plays an important role in micro assembly, especially for parts with different materials. An automatic array jet dispensing system was developed in this paper for micro inertial devices assembly. In order to have uniform original drop position of the adhesive array and easy monitoring, a machine vision module was integrated. The image processing and coordinate transformation...
Micro aerial vehicle (MAV) can be used as an efficient image acquiring tool. However, aerial video sequence has a large amount of redundant information, which will delay the scene reconstruction process and decrease the structure accuracy. Meanwhile conventional frame decimation approaches normally have time-consuming feature matching step. This paper proposes a hierarchical frame decimation approach...
Camera Calibration is a crucial task in computer vision. It aims to get internal and external parameters of camera from images. Currently, classical calibration techniques are widely used in measurement and monitor, especially the method proposed by Zhang Z.Y. In this paper, it is demonstrated that classical method is rather inaccurate in some certain conditions-different distance. Experiment results...
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