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Results 1 - 10
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70
Graph embedding based feature selection
- Neurocomputing
, 2012
"... Abstract—Usually many real datasets in pattern recognition applications contain a large quantity of noisy and redundant features that are irrelevant to the intrinsic characteristics of the dataset. The irrelevant features may seriously deteriorate the learning performance. Hence feature selection wh ..."
Abstract
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Cited by 2 (0 self)
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which aims to select the most informative features and to eliminate the irrelevant feature from the original dataset plays an important role in data mining, image recognition and microarray data analysis. In this paper, we developed a new feature selection technique based on the recently developed graph
A system for traffic sign detection, tracking, and recognition using color, shape and motion information
- In Proceedings of the IEEE Symposium on Intelligent Vehicles
, 2005
"... Abstract — This paper describes a computer vision based system for real-time robust traffic sign detection, tracking, and recognition. Such a framework is of major interest for driver assistance in an intelligent automotive cockpit environment. The proposed approach consists of two components. First ..."
Abstract
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Cited by 77 (2 self)
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Abstract — This paper describes a computer vision based system for real-time robust traffic sign detection, tracking, and recognition. Such a framework is of major interest for driver assistance in an intelligent automotive cockpit environment. The proposed approach consists of two components
Pattern Recognition Based Detection Recognition of Traffic Sign Using SVM
"... Abstract—The objective of this work describes a method for Traffic sign detection and recognition from the traffic panel board(signage). It detect the traffic signs especially for Indian conditions. Images are acquired through the camera and it is invariant to size then it is scaled. It consist of t ..."
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and Hybrid DWT-DCT. In training phase, DCT 20 highest energy coefficients are extracted, In DWT 300 features extracted from each traffic sign and in Hybrid DWT-DCT 20 features are extracted. Finally recognition are performed through SVM. The application is to improve the efficiency of transportation networks
Sign Gesture Recognition using Combined Features of Sum graph and HMM with Decision tree classifier
"... Abstract — This work introduces an Decision tree-based method to classify and recognize sign gestures from the video. A sign language is used by deaf and dumb for communicating. The language is also used in Human Computer Interactions. We obtain the frames from video and extract the motion area rele ..."
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Abstract — This work introduces an Decision tree-based method to classify and recognize sign gestures from the video. A sign language is used by deaf and dumb for communicating. The language is also used in Human Computer Interactions. We obtain the frames from video and extract the motion area
Improving Road Signs Detection performance by Combining the Features of Hough Transform and Texture
"... With the large uses of the intelligent systems in different domains, and in order to increase the drivers and pedestrians’ safety, the road and traffic sign recognition system has been a challenging issue and an important task for many years. But studies, done in this field of detection and recognit ..."
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and recognition of traffic signs in an image, which are interested in the Arab context, are still insufficient. Detection of the road signs present in the scene is the one of the main stages of the traffic sign detection and recognition. In this paper, an efficient solution to enhance road signs detection
A Modified Method For Road Sign Detection & Recognition
"... Road sign detection is an important for regulating the traffic. In this paper oversegmentation technique is used for the detection and recognition of a road sign with the integration of shape analysis. The main focus is on the implementation and efficiency aspect of this technique. There is a detail ..."
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Road sign detection is an important for regulating the traffic. In this paper oversegmentation technique is used for the detection and recognition of a road sign with the integration of shape analysis. The main focus is on the implementation and efficiency aspect of this technique. There is a
1 RGB-D Image-Based Detection of Stairs, Pedestrian Crosswalks and Traffic Signs
"... A computer vision-based wayfinding and navigation aid can improve the mobility of blind and visually impaired people to travel independently. In this paper, we develop a new framework to detect and recognize stairs, pedestrian crosswalks, and traffic signals based on RGB-D (Red, Green, Blue, and Dep ..."
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Cited by 2 (1 self)
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and stairs. The detected stairs are further identified as stairs going up (upstairs) and stairs going down (downstairs). The distance between the camera and stairs is also estimated for blind users. Furthermore, the traffic signs of pedestrian crosswalks are recognized. The detection and recognition results
International Journal of Image Processing, (IJIP), Volume (4): Issue (6) 567 Road Sign Detection and Recognition by Using Local Energy based Shape Histogram (LESH)
"... This paper describes an efficient approach towards road sign detection and recognition. The proposed system is divided into three sections namely; Colour Segmentation of the road traffic signs using the HSV colour space considering varying lighting conditions, Shape Classification using the Contourl ..."
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the Contourlet Transform considering occlusion and rotation of the candidate signs and the Recognition of the road traffic signs using features of a Local Energy based Shape Histogram (LESH). We have provided experimental results and a detailed analysis to justify that the algorithm described in this paper
Probabilistic subgraph matching based on convex relaxation
- In Energy Minimization Methods in Computer Vision and Pattern Recognition
, 2005
"... Abstract. We present a novel approach to the matching of subgraphs for object recognition in computer vision. Feature similarities between object model and scene graph are complemented with a regularization term that measures differences of the relational structure. For the resulting quadratic integ ..."
Abstract
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Cited by 32 (0 self)
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Abstract. We present a novel approach to the matching of subgraphs for object recognition in computer vision. Feature similarities between object model and scene graph are complemented with a regularization term that measures differences of the relational structure. For the resulting quadratic
EMBEDDED INTRUSION PREVENTION SYSTEM(eIPS) ON LINUX-BASED SINGLE BOARD COMPUTER IN E- COMMERCE SECURITY
"... ABSTRACT Intrusion Prevention Systems(IPS) is a new type of security element that pervades the network and automatically protects organizations from a broad variety of attack types and from all potential points of attack inside out. This embedded system plays an important role in recent technology ..."
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development. This IPS application will be develop and embed on the linux-based single board computer (SBC).SBC can handle several functions depend to their features even they has limitation in term of memory, capacity, control system and security. This paper will explain the concept of Embedded Intrusion
Results 1 - 10
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70
