The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A multi-view multi-target correspondence framework employing deep learning on overlapping cameras for identity-aware tracking in the presence of occlusion is proposed. Our complete pipeline of detection, multi-view correspondence, fusion and tracking, inspired by AI greatly improves person correspondence across multiple wide-angled views over traditionally used features set and handcrafted descriptors...
Optical belt sorters can be used to sort a large variety of bulk materials. By the use of sophisticated algorithms, the performance of the complex machinery can be further improved. Recently, we have proposed an extension to industrial optical belt sorters that involves tracking the individual particles on the belt using an area scan camera. If the estimated behavior of the particles matches the true...
We present a novel data set made up of omnidirectional video of multiple objects whose centroid positions are annotated automatically. Omnidirectional vision is an active field of research focused on the use of spherical imagery in video analysis and scene understanding, involving tasks such as object detection, tracking and recognition. Our goal is to provide a large and consistently annotated video...
Accurately tracking the six degree-of-freedom pose of an object in real scenes is an important task in computer vision and augmented reality with numerous applications. Although a variety of algorithms for this task have been proposed, it remains difficult to evaluate existing methods in the literature as oftentimes different sequences are used and no large benchmark datasets close to realworld scenarios...
With Augmented Reality (AR) reaching its technological maturity, there is a constantly increasing request for AR applications that address a broadened user base. Current AR applications still tend to be spatially and temporally confined either by applying to a single use case or by their tracking requirements. At the same time, with the rise of the Internet of Things (IoT), more and more everyday...
The purpose of this paper is to solve the problem of tracking a maneuvering ground moving target (GMT) in the presence of unknown control inputs by an unmanned aerial vehicle (UAV) equipped with a single vision camera. When the exact state information of the GMT is available, the efficiency of the Lyapunov guidance vector field approach has been proved. However, the case of unknown inputs and unavailable...
Confront location based on camera tracking is an active research area as it offers numerous applications, particularly for security-based surveillance, robot vision and visual guidance. This paper presents a camera calibration technique for target tracking by designing a feedback control system for a camera mounted servo based gimballed eye structure which in turn signals the tracking station to position...
Person re-identification via cross-camera is a difficult problem in the field of target discovery and tracking. Traditional solutions depending on the characteristics of a target's appearance have low reliability and can easily lead to low matching rate because they use simple metric functions. This work proposes a more reliable measurement: correlative degree of a target's features among different...
This paper presents design and implementation of face tracking system using servo-motor-controlled Pan-Tilt visual system. The objective is to maintain the position of a tracked object at the center of frame window on the screen. A simple camera is used as visual sensor to obtain the face object's actual position. Combination of Viola-Jones and Template Matching algorithms are used for face detection,...
In this paper, a robust visual tracking system with occlusion handling is proposed to track the target with real-time performance. The thermal camera, which can observe the heat originated from the target such as the human body or vehicle, can collaborate with the color camera to track the target in the cluttered environment or under occlusion. Unlike the general tracking by using the color camera...
Person re-identification is important and challenging parts in a non-overlapping camera network. In this paper, we propose the person re-identification framework which consists of kernel size into convolutional layers considering the person ratio and relationship matrix that train the relationship information related to neighborhoods. Our framework deals with global feature extracted from the whole...
Object-to-camera motion produces a variety of apparent motion patterns that significantly affect performance of short-term visual trackers. Despite being crucial for designing robust trackers, their influence is poorly explored in standard benchmarks due to weakly defined, biased and overlapping attribute annotations. In this paper we propose to go beyond pre-recorded benchmarks with post-hoc annotations...
In Industry 4.0 scenarios, autonomously navigating robots will have to perform dedicated tasks in controlled environments, such as production halls or storage facilities. In the presence of pedestrians and other dynamic objects, robust collision detection is imperative in order to avoid harm of human or material. Supplementary sensors as part of the infrastructure may provide additional real-time...
A novel approach for robot tracking and identification based on barcodes is proposed in this paper. The proposed system tracks robots fitted with barcodes identifying them. The system performs distributed visual processing and collaborative barcode tracking, whereby the nodes exchange processed visual information with appropriate neighboring nodes, informing them about incoming targets. The proposed...
There are many key device nodes in factory, in order to ensure these devices working in a safe and stable way, we need to monitor the status of this devices in real-time. The system based on the video surveillance and computer vision methods, to monitor real-time status of equipment and give some feedback to central control room automatically. The web camera site obtains the video information and...
Current commercial matrix transducers for 3D Dynamic Contrast-Enhanced Ultrasound (3D DCE-US) do not display side-by-side B-mode and contrast-mode images, thus leaving the operator with no position feedback during lengthy acquisitions. The purpose of this study was to demonstrate the feasibility of using tracking to provide positioning feedback and to assess resulting improvements in maintaining imaging...
In recent years, there has been an increasing growth of using vision-based systems for tracking the players in team sports to evaluate and enhance their performance. Vision-based player tracking has high computational demands since it requires processing of a huge amount of video data based on the utilization of multiple cameras with high resolution and high frame rates. In this paper, we present...
Military vehicles are important part to maintain territories of a country. Military vehicle is often equipped with a gun turret mounted on top of the vehicle. Traditionally, gun turret is operated manually by an operator sitting on the vehicle. With the advance of current robotic technology an automatic operation of gun turret is highly possible. Notable works on automatic gun turret tend to use features...
This paper presents a stochastic optimal control approach suitable for implementation on small unmanned aerial vehicles (UAV). The controller provides tracking of a target at a desired distance, keeps the target away from the sector of blind spots and prevents flying over the target to avoid the flipping images in the camera's recorded sequence. The controller is based on a two-dimensional stochastic...
This paper investigates dynamic visual feedback position tracking of two kinds of two-wheeled vehicles with a camera or a target object for visual measurements. A problem formulation is first provided, where the dynamics of the camera vehicle is explicitly considered and the target vehicle velocity is expressed by a Fourier series expansion. Next, passivity-based tracking control structure is explained...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.