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检索条件"机构=Institute for Pattern Recognition and Image Processing Computer Science Department"
294 条 记 录,以下是101-110 订阅
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Pedestrian Detection in Infrared images Using HOG,LBP,Gradient Magnitude and Intensity Feature Channels
Pedestrian Detection in Infrared Images Using HOG,LBP,Gradie...
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17th International IEEE Conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems Engineering Conference 2014
作者: Raluca Brehar Sergiu Nedevschi the Image Processing and Pattern Recognition Group Computer Science DepartmentTechnical University of Cluj-Napoca
Recent work in monocular pedestrian detection is trying to improve the execution time while keeping the accuracy as high as possible.A popular and successful approach for monocular intensity pedestrian detection is ba...
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Word Channel Based Multiscale Pedestrian Detection Without image Resizing and Using Only One Classifier
Word Channel Based Multiscale Pedestrian Detection Without I...
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IEEE Conference on computer Vision and pattern recognition
作者: Arthur Daniel Costea Sergiu Nedevschi Image Processing and Pattern Recognition Group Computer Science Department Technical University of Cluj-Napoca
Most pedestrian detection approaches that achieve high accuracy and precision rate and that can be used for real-time applications are based on histograms of gradient orientations. Usually multiscale detection is atta... 详细信息
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Exponential image Enhancement in Daytime Fog Conditions
Exponential Image Enhancement in Daytime Fog Conditions
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17th International IEEE Conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems Engineering Conference 2014
作者: Mihai Negru Sergiu Nedevschi Radu Ioan Peter Image Processing and Pattern Recognition Group Computer Science DepartmentTechnical University of Cluj-Napoca head of the Image Processing and Pattern Recognition Group Computer Science DepartmentTechnical University of Cluj-Napoca Mathematics Department Technical University of Cluj-Napoca
The images captured in fog conditions have degraded contrast,that makes current image processing applications sensitive and error *** propose in this paper an efficient single image enhancement algorithm suitable for ... 详细信息
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Multi-Class Segmentation for Traffic Scenarios at Over 50 FPS
Multi-Class Segmentation for Traffic Scenarios at Over 50 FP...
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IEEE Intelligent Vehicles Symposium
作者: Arthur D. Costea Sergiu Nedevschi Image Processing and Pattern Recognition Group Computer Science Department Technical University of Cluj-Napoca Romania
Multi-class segmentation assigns a class label to each pixel in an image. It represents a significant task for the semantic understanding of images and has received plentiful attention over the last years. The current... 详细信息
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Moving rigid objects segmentation in 3D dynamic traffic scenes using a stereovision system
Moving rigid objects segmentation in 3D dynamic traffic scen...
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IEEE International Conference on Intelligent computer Communication and processing (ICCP)
作者: Catalin Golban Sergiu Nedevschi Computer Science Department Technical University Image Processing and Pattern Recognition Group Cluj-Napoca Romania
This paper proposes a novel method for detecting the moving vehicles in dynamic urban traffic scenes using a stereo camera. Relying on the fact that a set of feature points on a rigid 3D scene object are staying in a ... 详细信息
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From dense subgraph to graph matching: A label propagation approach
From dense subgraph to graph matching: A label propagation a...
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International Conference on Audio, Language and image processing, ICALIP
作者: Zhuoyi Zhao Yu Qiao Jie Yang Li Bai Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China School of Computer Science University of Nottingham Nottingham UK
Graph matching (GM) is a fundamental problem in computer science, and it has been successfully applied to provide solutions to many problems in computer vision. In this paper, we consider GM as a clustering problem in... 详细信息
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An efficient and scalable learning algorithm for Near-Earth objects detection in astronomy big image data
An efficient and scalable learning algorithm for Near-Earth ...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Ke Wang Ping Guo School of computer Science and Technology Beijing Institute of Technology Beijing P.R. China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing P.R. China
In this paper, we investigate the efficiency and scalability of Gaussian mixture model based learning algorithm for the detection of Near-Earth objects in large scale astronomy image data. We propose an effective sche... 详细信息
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Learning distance transform for boundary detection and deformable segmentation in CT prostate images
Lecture Notes in Computer Science (including subseries Lectu...
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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8679卷 93-100页
作者: Gao, Yaozong Wang, Li Shao, Yeqin Shen, Dinggang Department of Radiology and BRIC University of North Carolina at Chapel Hill United States Department of Computer Science University of North Carolina at Chapel Hill United States Institution of Image Processing & Pattern Recognition Shanghai Jiao Tong University China
Segmenting the prostate from CT images is a critical step in the radiotherapy planning for prostate cancer. The segmentation accuracy could largely affect the efficacy of radiation treatment. However, due to the touch... 详细信息
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Speed estimation for scene objects using stereo visual odometry methods
Speed estimation for scene objects using stereo visual odome...
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2013 IEEE 9th International Conference on Intelligent computer Communication and processing, ICCP 2013
作者: Golban, Catalin Nedevschi, Sergiu Image Processing and Pattern Recognition Group Computer Science Department Technical University of Cluj-Napoca Romania
This paper proposes a novel method to determine the speed of the surrounding vehicles in traffic scenarios. Relying on the video information obtained from a stereo camera mounted on a moving vehicle, we first determin... 详细信息
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Algorithm Research and Real-time Simulation of Neural Network Sliding Mode Position Control
Algorithm Research and Real-time Simulation of Neural Networ...
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第25届中国控制与决策会议
作者: LI Wei ZHANG Yanyu GAO Yong CHAI Xiuli Institute of Image Processing and Pattern Recognition Henan University School of Computer and Information Engineering Henan University School of Automation Science and Engineering Beihang University
This paper presents a neural network sliding mode control algorithm for position control of modular robot. This method adopts BP neural network to approximate the functional relation between the sliding hyperplane and... 详细信息
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