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To solve the problem of matching slabs and coils against orders in the process of hot rolling production in steel industry, we introduce matrices in which the element indicates difference between slab material and steel required in order, and also matrices in which the element indicates difference between coil and steel required in order. A multi-objective 0–1 programming model is established. And...
Microarray image gridding is one important step of microarray image analysis to determine 2D image coordinates of all array spots in the hybridized gene chip image. Accuracy of microarray image gridding will affect the reliability of gene-chip data extraction and even the final analysis results of gene-chip assays. However, in recent years, many new microarray image gridding methods presented have...
In order to reduce energy consumption of aeration processes, an optimal control was studied. Simplified model of aeration system was built according to Activated Sludge Model No.1 (ASM1) presented by International Association on Water Quality (IAWQ), then the optimal control strategy based on reduced-order observer was brought forward for the aeration system. The proposed optimal control strategy...
By using multi-freedom systems vibration theory, the mechanical model of wheat lodging resistance is established, the wheat lodging moment formula is deduced under the wind load. Considering the soil characteristics and the wheat root distribution, the wheat moment of lodging resistance is deduced, The moment the size of these two can predict whether wheat is lodging, Vibration mode analysis explain...
Neurons can encode identical stimulus input by generating non-identical firing patterns of action potential sequence. The different firing patterns are resulting from different bifurcations from the dynamical viewpoint. However, the physiological basis of bifurcation control has not been clear. Here we design a wash-out filter bifurcation control from a physiological view. Then simplified HH model...
Monocular SLAM (Simultaneous Localization and Mapping) is popular in SLAM researches of the past few years. Filtering approaches and bundle adjustment style optimization are main popular strategies, with a lot of applications. This paper proposes a novel adaptive estimation based SLAM algorithm with application to a lake surface robot. Orientation and linear velocities of the robot, and accurate SURF...
Neuron encodes the information inputs from the dendrites by generating different firing patterns. The different firing patterns result from different action potential initial dynamic mechanisms. In this paper, we adopt a minimum neuron model, design the Wash-out filter from a physiological view, and achieve the transition between different action potential initial dynamic mechanisms. Finally, we demonstrate...
This paper investigates long-term visual person tracking using particle filter as the underlying framework and online boosting as the detection strategy. In the case of the being tracked person with abrupt motion, under occlusion or in low sample rate of video source, two main issues rise inevitably. One is the poor constraint of person motion model, and the other is the drastic variation of pose...
An imaging method for 360-degree panoramic bird-eye view, which is applied to Panorama Parking Assist System, is presented. In order to remove the distortion of images collected, the camera is calibrated to obtain the parameters. Then, according to the relationship among coordinate systems, the conversion from the corrected image into bird-eye view is transformed by using the parameters, such as camera...
This paper addresses an integrating method to be used in segments detection based on Hough Transform (HT) butterflies. The proposed method is employed to detect the edges of butterflies in higher accuracy than the commonly used existing method, and hence improves the performances (the accuracy and robustness) of segment detection.
In order to single out pedestrian crossing from real-life scenarios, this paper does the priori and likelihood modeling in Bayesian framework based on the defined block-based Markov random field. Furthermore, using coarse to fine technique and covariance matrix descriptor, it is focused on the crossing's central position by maximizing a posterior probability. Finally, it spreads around this center...
In order to meet the requirements of stable person detection and tracking techniques in dynamic visual system, we propose a simplified minimum enclosing ball based fast incremental support vector machine (SVM) algorithm for person detection and tracking. Based on the simplified minimum enclosing ball (MEB) method, we propose a simplified and fast incremental algorithm to compute the MEB. By utilizing...
This paper describes a scan matching algorithm for motion estimation near a planet surface using scanning laser scanner data in spherical coordinate. It is directly based on range finding data and followed by point to point terrain map alignment in the laser scanner's spherical coordinate system. Laser scan matching of current and reference scans are enhanced by weighted terrain and distortion compensation...
To achieve denser 3D ear model from less controlled 2D image, we explore a 3D Ear Morphable Model (3DEMM) for 3D ear reconstruction using a single 2D ear image. Considering the unique structure of ear, we propose a novel dense corresponding method. The proposed method can overcome the shortcoming of optical flow based method and achieve pixel level dense correspondences based on physiological features...
An artificial pancreas system (APS) mimics the function of a real pancreas through monitoring a diabetic's blood glucose and administering the right dose of insulin via an automatic control loop. It is hailed as a promising cure of diabetes, though this technology is still years away from commercial use due to a few technological bottlenecks. The simulation model of insulin-glucose metabolism of type...
In this paper, we examine the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this motion segmentation problem can be cast as the problem of segmenting samples drawn from a union of linear subspaces. We pose this problem as a rank minimization problem, where the goal is to decompose the corrupted data matrix as...
A novel traffic sign recognition algorithm is presented in the paper. This algorithm integrates the Dual-Tree Complex Wavelet Transform(DT-CWT) representation of traffic sign images and 2D Independent Component Analysis(2DICA) method. First traffic sign color-image is preprocessed with gray scaling, and normalized to 64×64 size. Image features could be obtained by concatenation of four levels DT-CWT...
As a powerful algorithm for face recognition, the proposed Two-Phase Test Sample Representation (TPTSR) increases the classification rate by dividing the recognition task into two steps. The first step intends to find the M most possible candidate training samples from the whole training set to match with the testing input, and the second phase classifies the testing sample to the class with the most...
Horn/Schunck approach which has been widely used in variational optical flow estimation consists of a data term and a smoothness term. In this paper, a parameterized data term is proposed. The parameter can adjust the proportion of the two images' gradient for obtaining the Euler-Lagrange equations. This combination makes the optical flow more robust to noise and illumination changes. Firstly, the...
This paper describes a method for recognition of continuous facial expression change in video sequences. ASM automatically localizes the facial feature points in the first frame and then tracks the feature points through the video frames. After that the step is the selection of the 20 optimal key facial points, those which change the most with changes in expression. Since the distance of geometric...
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