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This paper deals with automatic estimation of the horizon in videos from fixed surveillance cameras. The proposed algorithm is fully automatic in the sense that no user input is needed per-camera and it works with various scenes (indoor, outdoor, traffic, pedestrian, livestock, etc.). The algorithm detects moving objects, tracks them in time, assesses some of their geometric properties related to...
Real-time tracking of subway riding will provide great convenience to millions of commuters in metropolitan areas. Traditional approaches using timetables need continuous attentions from the subway riders and are limited to the poor accuracy of estimating the travel time. Recent approaches using mobile devices rely on GSM and WiFi, which are not always available underground. In this work, we present...
Cervical spine pathoanatomy is typically evaluated by static radiographs, CT or MRI; however, these modalities are unable to directly measure the dynamic performance of the spine that account for its functionality. We have developed an ultrasound based technique that provides a non-invasive, realtime, quantitative, textitin-vivo image of the C-spine that allows for assessment of the dynamic motion...
Permanent magnet track linear motor drives are used in numerous industrial manufacturing processes covering a wide range of material handling and conveyor applications. A traditional solution is a permanent magnet linear motor (PMLM) in which the stationary part consists of permanent magnets and the moving part of the armature. To further reduce the initial costs of such a permanent magnet track linear...
In epicardial ultrasound, the myocardial tissue velocity will generally increase with depth, as the endocardial tissue usually moves at higher velocity than the epicardial tissue. Higher velocity resolution is therefore required in the epicardial region, while a higher maximum detectable velocity is needed in the endocardial region. This study introduces a method to balance this requirement, processing...
Imaged-based motion analysis of human musculoskeletal systems is a burgeoning area of research. We have previously demonstrated the capability of B-mode ultrasound (US) to statically and dynamically image cervical spine kinematics both ex-vivo and in-vivo. However high frame rates and long exposure time are required to successfully track the displacement of contiguous spinal units over thousands of...
Cardiac strain estimation from ultrasound images is an efficient tool for the diagnosis of cardiac diseases. This study focuses on cardiac amyloidosis (CA), a pathology characterized by nonspecific early symptoms such as increased wall thickness. Recent clinical studies have demonstrated that patients with CA present an apex-to-base gradient longitudinal strain pattern, i.e., a normal strain in apex...
One of the algorithms implemented in Radar system is Kalman filter. Kalman filter is one of a method to estimate a problem in dynamic systems and model measurement. Kalman filter has the ability to estimate certain condition either in the past, current, future time, or characteristic of the model unknown. The Purpose of this paper is to design ships tracking system using Kalman filter algorithm. According...
The spectral envelope of a speech signal encodes information about the characteristics of the speech source. As a result, spectral envelope modeling is a central task in speech applications, where tracking temporal transitions in diphones and triphones is essential for efficient speech synthesis and recognition algorithms. Temporal changes in the envelope structure are often derived from estimated...
The notion of a Fast Moving Object (FMO), i.e. an object that moves over a distance exceeding its size within the exposure time, is introduced. FMOs may, and typically do, rotate with high angular speed. FMOs are very common in sports videos, but are not rare elsewhere. In a single frame, such objects are often barely visible and appear as semitransparent streaks. A method for the detection and tracking...
Tacking of testability growth test (TGT) is an assurance of the orderly development of TGT. This paper, a testability growth tracking model based on Expected Bayesian method which under entropy loss function is studied in view of the lack of existing testability growth model and the subjective tracking of testability index. Firstly, the multi-layer prior distribution of the fault detection rate (FDR)...
Estimation of human energy expenditure in sports and exercise contributes to performance analyses and tracking of physical activity levels. The focus of this work is to develop a video-based method for estimation of energy expenditure in athletes. We propose a method using thermal video analysis to automatically extract the cyclic motion pattern, in walking and running represented as steps, and analyse...
Tracking hypersonic glide reentry vehicles (HGRVs) is considered in the paper. Firstly, justified by an analysis of dynamic models of HGRVs, we proposed a more accurate motion model with less computation burden. Secondly, fixed-interval Gaussian mixture approximation smoother for non-linear Markov jump systems (NLMJSs) is presented in the paper. The Gaussian mixture filter can effectively approximate...
This article considers the robust cooperative control problem of multiple double-integrator agents' formation moving around a set of given curves on spheres, where each agent suffers an unknown spatiotemporal flowfield and the communication topology among agents is directed. The flow specification is composed of a general direction matrix and a responding unknown flow speed vector, which includes...
In this paper, we propose an external model based, data-driven approach to robust output regulation. No a priori knowledge of the plant and the exosystem is required, apart from their state dimension and an upper bound on the exosystem frequencies. The core of the method lies in an error-feedback reset logic for the state of the external model.
In this paper, we propose a multi-object tracking and reconstruction approach through measurement-level fusion of LiDAR and camera. The proposed method, regardless of object class, estimates 3D motion and structure for all rigid obstacles. Using an intermediate surface representation, measurements from both sensors are processed within a joint framework. We combine optical flow, surface reconstruction,...
The ability to accurately track pedestrians is valuable for variant application designs. Although pedestrian tracking has been investigated excessively and owned a well-suited sensing platform, the proposed solutions are far from being mature yet. Pedestrian tracking contains step counting and stride estimation two components. Step counting already has commercial products, but the performance is still...
RFID systems have been widely deployed for various applications such as supply chain management, indoor localization, inventory control, and access control. This paper deals with the fundamental problem of estimating the number of arriving and departing tags between any two time instants in dynamically changing RFID tag populations, which is needed in many applications such as warehouse monitoring...
Advances in adaptive signal processing and analysis of multichannel data recorded from human body, require cooperative learning to enable communications between the nodes of the network. In more complex cases where the human body is involved in executing multiple and different tasks simultaneously, the learning process is subject to both learning and differentiating between the sensor groups. In this...
This paper presents a model-based shadow estimation method that aims at identifying self-cast shadows of aerial vehicles in on-board images. The self-cast shadow poses a non-negligible problem in any kind of on-board processing, e.g. remote sensing, visual odometry, or target tracking. Therefore, it often is necessary to exclude the image regions that contain this self-cast shadow. The presented method...
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