2015 8th International Congress on Image and Signal Processing (CISP)最新文献_第5页

An improved criminisi algorithm-based image repair algorithm 一种改进的基于犯罪算法的图像修复算法

2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407887

Aiju Li, Yujie Li, Wenliang Niu, Tingmei Wang

引用次数: 7

The improvement and realization of speech enhancement algorithm based on Wiener filtering 基于维纳滤波的语音增强算法的改进与实现

2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408047

Binwen Fan, Huanyu Song, Ming Liu, Yongjun Wang

引用次数: 5

Efficient audio data hiding via parallel combinatory spread spectrum 有效的音频数据隐藏通过并行组合扩频

2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407989

Peng Zhang, Ye Li, Xiaofeng Ma, Yanhong Fan, Xiaoxia Chen

引用次数: 4

Fuzzy local means clustering segmentation algorithm for intensity inhomogeneity image 强度非均匀性图像的模糊局部均值聚类分割算法

2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407923

Zaixin Zhao, Wenbo Chang, Yinghao Jiang

引用次数: 5

Battery state of health estimation using the generalized regression neural network 基于广义回归神经网络的电池健康状态估计

2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408101

Jie Zhou, Zhiwei He, Mingyu Gao, Yuanyuan Liu

{"title":"Battery state of health estimation using the generalized regression neural network","authors":"Jie Zhou, Zhiwei He, Mingyu Gao, Yuanyuan Liu","doi":"10.1109/CISP.2015.7408101","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408101","url":null,"abstract":"Batteries have been widely used in the field of electric vehicles. So prediction of the state of health (SOH) is important to the safe and efficient use of them. In this study, SOH is estimated by the generalized regression neural network (GRNN). GRNN is established by the radial basis neurons and linear neurons. The network has the advantages of approximation ability and the learning speed. In this test, there are 12 pieces of Li-ion batteries. Constant current charging and discharging are performed on them, until the capacity drops to below 80% of nominal. The SOH of the battery is estimated by the data that obtained from the operation. The data from the test shows that the recharging time by the constant current on the battery, the instantaneous voltage drops in discharge, and the output energy under a certain depth of discharge (DOD) are important to estimate the SOH of battery. The data from the 6 pieces of batteries are performed to train the GRNN. And the feasibility of this method is verified by the data from the other batteries. The test shows the difference of the SOH of the battery can be estimated accurately by this method, and it has great significance in the performance improvement of the battery management system.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130752037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Online dynamic hand gesture recognition with multiple cues 在线动态手势识别与多个线索

2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407879

Ying Zhao, Jiayong Yan

引用次数: 2

A federated filter design of electronic stability control for electric-wheel vehicle 电动轮式汽车电子稳定控制的联合滤波设计

2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408045

Cheng Wang, Chuanxue Song, Jianhua Li

{"title":"A federated filter design of electronic stability control for electric-wheel vehicle","authors":"Cheng Wang, Chuanxue Song, Jianhua Li","doi":"10.1109/CISP.2015.7408045","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408045","url":null,"abstract":"The aim of this study is to improve the convergence speed and accuracy of the filter in the ESC (Electronic Stability Control) of electric-wheel vehicle. A federated filter is designed based on an improved UKF (Unscented Kalman Filter). The federated filter is composed of a vehicle speed filter and a road adhesion coefficient filter. The two filters are connection and correction each other. In the improved UKF, a scaled minimal skew sampling strategy is used to reduce the number of sampling points and avoid the local effects. A tracking adjustment factor and a resisted demission error factor are added to the improved UKF algorithm. These factors are used to enhance the tracking performance and eliminate the outliers of the system measured value. An electric-wheel vehicle dynamics model is established for the federated filter. Simulation experiments of the vehicle speed estimation and the road adhesion coefficient estimation were done. The road adhesion coefficient was 0.8 and 0.2. The initial vehicle speed was 100 and 90 kilometers per hour. The results shown the federated filter could shorten the delay time and reduce the overshoot. The federated filter is fit for the ESC of electric-wheel vehicle.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125536718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Human body fall detection based on the Kinect sensor 基于Kinect传感器的人体跌倒检测

2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407906

Yuan Liu, Nan Wang, Chaohui Lv, Jie Cui

{"title":"Human body fall detection based on the Kinect sensor","authors":"Yuan Liu, Nan Wang, Chaohui Lv, Jie Cui","doi":"10.1109/CISP.2015.7407906","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407906","url":null,"abstract":"Health problems of the elderly are more and more serious with the growth of aging population. The accidents like falling down need to be paid more attention especially. Through the analysis of the existing detection methods, a more simple and rapid algorithm about human body fall detection based on the Kinect sensor is proposed in this paper. This algorithm is composed of three parts, which are moving target depth of image acquisition, processing of depth image and identification of target motion behavior. The realization of the detection algorithm is based on the depth map sequence obtained by the Kinect. The data of falling and bending are collected and compared in this experiment. And the OTSU algorithm which has anti-noise performance is used to process depth map. It is conducive to the body contour extraction. After extracting the contour, the corrosion operation is used to repair the edge. Then three parameters are extracted, which are the aspect ratio of human external rectangle, the gravity center of human body and the inclination degree. Every frame image outputs aspect ratio and dip angle value. By comparing these values with the threshold, the system judges whether human falls down. The experimental results show that this algorithm is a kind of effective fall detection algorithm.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123257559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

An efficient approach for double sliding spotlight bistatic synthetic aperture radar focusing 双滑动聚焦双基地合成孔径雷达的有效聚焦方法

2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407974

Feifei Yan, Wenge Chang

引用次数: 1

The prediction method of material consumption for electric power production based on PCBoost and SVM 基于PCBoost和SVM的电力生产材料消耗预测方法

2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408074

Yang Qing, Wang Bin, Z. Peilan, Chen Xiang, Zhao Meng, Wang Yang

引用次数: 3