Tracking the same person across multiple cameras is an important task in multi-camera systems. It is also desirable to re-identify the individuals who have been previously seen with a single-camera. This paper address...
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Tracking the same person across multiple cameras is an important task in multi-camera systems. It is also desirable to re-identify the individuals who have been previously seen with a single-camera. This paper addresses this problem by the re-identification of the same individual in two different datasets, which are both challenging situations from video surveillance system. In this paper, local descriptors are introduced for image description, and support vector machines are employed for high classification performance and so an efficient Bag of Features approach for image presentation. In this way, robustness against low resolution, occlusion and pose, viewpoint and illumination changes is achieved in a very fast way. We get promising results from the evaluation with situations where a number of individuals vary continuously from a multi-camera system.
This brief investigates the H ∞ filtering problem for a class of neutral systems with mixed delays and multiplicative noises. The mixed delays comprise both discrete time-varying and distributed delays. Moreover, t...
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This brief investigates the H ∞ filtering problem for a class of neutral systems with mixed delays and multiplicative noises. The mixed delays comprise both discrete time-varying and distributed delays. Moreover, the multiplicative disturbances are in the form of a scalar Gaussian white noise with unit variance. In the presence of mixed delays and multiplicative noises, sufficient conditions for the existence of an H ∞ filter are derived, such that the filtering error dynamics is asymptotically mean-square stable and also achieves a guaranteed H ∞ performance level. Then, a linear matrix inequality approach for designing such an H ∞ filter is presented. Finally, a numerical example is provided to illustrate the effectiveness of the developed theoretical results.
The overview presents the development and application of Hierarchical Temporal Memory (HTM).HTM is a new machine learning method which was proposed by Jeff Hawkins in *** is a biologically inspired cognitive method ba...
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ISBN:
(纸本)9781467315241
The overview presents the development and application of Hierarchical Temporal Memory (HTM).HTM is a new machine learning method which was proposed by Jeff Hawkins in *** is a biologically inspired cognitive method based on the principle of how human brain *** method invites hierarchical structure and proposes a memory-prediction framework, thus making it able to predict what will happen in the near *** overview mainly introduces the developing process of HTM, as well as its principle, characteristics, advantages and applications in vision, imageprocessing and robots movement, some potential applications by using HTM , such as thinking process, are also put forward.
In this paper, by utilizing Linear Fractional Transformation (LFT) techniques, an iterative realization procedure resulting in multidimensional ( n -D) Roesser state-space model is proposed. The philosophy employed he...
In this paper, by utilizing Linear Fractional Transformation (LFT) techniques, an iterative realization procedure resulting in multidimensional ( n -D) Roesser state-space model is proposed. The philosophy employed here is to achieve an overall n -D realization by realizing relatively lower-dimensional systems with respect to (w.r.t.) less-number of variables iteratively. Symbolic examples are presented to illustrate the basic idea as well as the effectiveness of the proposed procedure.
Lesion segmentation plays an important role in medical imageprocessing and analysis. There exist several successful dynamic programming (DP) based segmentation methods for general images. In those methods, the gradie...
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This paper aims to design a system that can measure AC sample magnetization employing a pair of differentiating detection coils. A pair of Helmholtz coils generated the applied magnetic field. A new model and a pair o...
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This paper aims to design a system that can measure AC sample magnetization employing a pair of differentiating detection coils. A pair of Helmholtz coils generated the applied magnetic field. A new model and a pair of differentiating coils were used to reject the intrinsic residual of the applied magnetic field, which was caused by the mechanical positioning error of detection coils. The system design is very simple, low-cost, and easy to implement with only two parts: hardware and software. The experimental results indicated that the rejection of the applied magnetic field with a residual is about 0.05%, relative to the sample magnetization.
Recently, tracking is regarded as a binary classification problem by discriminative tracking methods. However, such binary classification may not fully handle the outliers, which may cause drifting. In this paper, we ...
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Recently, tracking is regarded as a binary classification problem by discriminative tracking methods. However, such binary classification may not fully handle the outliers, which may cause drifting. In this paper, we argue that tracking may be regarded as one-class problem, which avoids gathering limited negative samples for background description. Inspired by the fact the positive feature space generated by One-Class SVM is bounded by a closed sphere, we propose a novel tracking method utilizing One-Class SVMs that adopt HOG and 2bit-BP as features, called One-Class SVM Tracker (OCST). Simultaneously an efficient initialization and online updating scheme is also proposed. Extensive experimental results prove that OCST outperforms some state-of-the-art discriminative tracking methods on providing accurate tracking and alleviating serious drifting.
In view of large range change of operating status of combustion process and difficulties in building global model and timely optimizing control parameters, this paper presents dynamic model based optimization control ...
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Pneumatic Muscle (PM) has the advantages of cheapness, light weight, compliance, safe and high power/*** is suitable for rehabilitation *** minimize the number of PM for driving a single joint of rehabilitation, a new...
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ISBN:
(纸本)9781467315241
Pneumatic Muscle (PM) has the advantages of cheapness, light weight, compliance, safe and high power/*** is suitable for rehabilitation *** minimize the number of PM for driving a single joint of rehabilitation, a new PM-TS actuator comprising a PM and a Torsion Spring (TS) is *** the traditional agonist/antagonist PM actuator, the PM is arranged in appropriate place as agonist and the torsion spring provides opposing torque as antagonist in the proposed *** dynamic model of a 1-DOF (Degree of Freedom) rehabilitation robotic arm is derived considering the PM-TS *** realize high accurate trajectory tracking control of the robotic arm, an Artificial Bee Colony (ABC) algorithm based Auto-Disturbance Rejection control (ADRC) is proposed, where ABC is employed to optimize the control parameters of *** results demonstrate the validity of PM-TS actuator, and verify that the ABC based ADRC has satisfactory performance.
The analytical algorithm of program quaternion is studied, aiming at the problem of the arbitrary space vehicle attitude-adjusting control. The analytical constructor method of the program quaternion is provided for a...
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