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Techniques of tracking multiple human targets using ultra-wideband radar are important for security applications. Tracking techniques that use the texture information of the received signal have been proposed. However, these methods require off-line processing or are limited in terms of the number of targets that can exist in the same range bin at one time. In this study, we propose a technique that...
The beamforming technique usually employs multiple sensors or sensor array to enhance receiving signals such that the generalized sidelobe canceler (GSC) is commonly applied for eliminating interfering signals. In this paper, a new direction-of-arrival (DOA) estimation method is studied for the GSC with a moving terminal in the arrayed wireless sensor network. In our simulations, the beamformer's...
For most physical stores, procuring customer behavior data and client management is di cult yet crucial. For stores, especially luxury stores, who value returning customers the most, identifying customer's identity and past purchase history would significantly improve the sales by personalizing the recommendation. Many chain stores utilize membership card to collect purchase information and change...
According to simulate aerodynamic thermal characteristic in the flying process of aero craft, structural strength thermal experiment test the aero craft thermal performance on the ground. The experiment validity depends on the given target temperature spectrum tracking ability. This paper presents one temperature spectrum tracking method based on internal model control, in order to improve the performance...
This paper proposes a patch-based keypoints clustering method for long term robust visual tracking. We plan to employ a parallel framework with keypoints matching and estimation for tracking purpose. Patch-based method is implemented in our algorithm to improve the flexibility of system. The template is divided into patches to ensure the spatial constraint of local keypoints. The motion cue of patches...
High resolution imaging and its processing is one of the most researched areas now-a-days. Recognition of moving object in a remote scene is a challenging task because of presence of multiple objects present there. Similarly, to track an object after the recognition part is also difficult task because of constant change in not only the coordinates of the target object but also the objects that are...
This paper presents a novel method to track the hierarchical structure of Web video groups on the basis of salient keyword matching including semantic broadness estimation. To the best of our knowledge, this paper is the first work to perform extraction and tracking of the hierarchical structure simultaneously. Specifically, the proposed method first extracts the hierarchical structure of Web video...
Radio signals can be used to detect the presence of a person (target) in an environment by analysing the fluctuations in the Received Signal Strength Indicator (RSSI). The velocity of the target can be estimated by examining the sequence of disturbances in consecutive radio links over a period of time. This requires knowledge of the deployment of the radio transceivers and the time when the target...
Positioning and tracking of wireless devices in indoor environment is a challenging research problem. Accurate localization of a moving target is a fundamental requirement in Wireless Sensor Networks monitoring applications. In this paper, a novel location tracking algorithm which combines learning methods is proposed. In previous work, regression tree using received signal strength method is proposed...
Target tracking is an application in WSN (Wireless Sensor Network) that estimating directly the mobile target position. However, in indoor location with large coverage area it is difficult to get the precision estimation, especially using RSSI (received strength signal indicator) with poor accuracy. The condition of an indoor location with many walls, obstacle, pillar, doors, multipath fading, and...
In order to cope with the complex variation of target appearance during visual tracking, a robust tracking algorithm based on multi-scale kernelized least squares (KLS) is proposed. First, by showing that the dense sampling set of translated patches is circulant, using the well-established theory of circulant matrices, kernelized least squares is efficient computed with fast Fourier transform (FFT)...
Although visual tracking have been greatly improved in the last decade, there are still many challenges that are not fully resolved. Of these challenges, occlusions, which can be long lasting, are often ignored. Under the framework of particle filtering, this paper uses the incremental principal component analysis subspace method to learn an orthogonal subspace, then gets the linear representation...
In multi-sensor spatial registration process, the ill-posedness of the information matrix is the main factor which affects the quality of the registration result. This paper focuses on this problem and makes some progress. For simplicity and without loss of generality, we firstly revisit the least square registration algorithm and analyze the ill-posedness of the information matrix and its reasons...
A moving target tracking filter using images extracted from a fixed camera attached to a flying platform is proposed. The often conflicting objectives to optimally control the platform motion and to maintain a target in the field of the view of the non-gimbled camera are addressed using the estimation filter that combines a cubic spline technique with a Sigma Point Kalman Filter (SPKF). The spline...
Correlation filter based tracking method has been widely used for its high efficiency and robustness. However, reducing model drifting while achieving both high robustness and fast scale estimation is still an open problem. In this paper, we represent the target in kernel feature space and train a classifier on a scale pyramid to achieve adaptive scale estimation. We then integrate three complementary...
This paper describes a person identification method using a smartphone and laser range finders (LRFs) for a mobile service robot. The robot is equipped with LRFs and the target person holds a smartphone. The method first detects the foot strike timings of the target person using the smartphone and those of all people by using the LRFs. By finding the person whose foot strike timings captured by the...
A preliminary framework for inferring continuous-time target trajectory (namely “track”) is given for a class of target tracking problems in which the target is subject to a rather smooth evolving process in time series, such as tracking passenger aircrafts or ships that have scheduled routes. As the core idea, the distant estimates given over time by a recursive estimator are ‘fitted’ by using a...
In nonlinear and non-Gaussian multi-sensor fusion scenarios, the Covariance Intersection (CI) algorithm is utilized to fuse estimations from distributed sensors, in which targets are commonly tracked by a family of Particle Filtering (PF) algorithm. Furthermore, standard PF can be replaced by Rao-Blackwellized PF (RBPF) based on linear/nonlinear State Space models to produce more accurate means and...
Target localization and tracking have the inseparable connection. On the one hand, localization is the basis of tracking. On the other hand, tracking can provide localization with prior information to correct the error of localization to some extent. At the same time, making the monitoring area be the grid area can let the localization and tracking system easy to be applied to different monitoring...
The rapid growth of ubiquitous applications and location-based services has made indoor navigation an interesting topic. Some indoor localization solutions exploit radio information and Inertial Measurement Units (IMUs), which are embedded in most of the modern smartphones. In this paper, we present a real-time indoor localization approach that fuses WiFi Receiving Signal Strength Indicator (RSSI)...
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