[PDF] Top 20 An Efficient Approach to Detect Vehicles with HOG and SVM
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An Efficient Approach to Detect Vehicles with HOG and SVM
... segmentation approach and introduced low light video frames which have low exposure value ...from vehicles body, sign boards reflections can be removed and only the bright red color and head lights of ... See full document
10
Efficient Handwritten Digit Classification using User-defined Classification Algorithm
... MCS HOG Features and SVM classifer by Hamayun [29], and Convolutional Neural Network as a Classifierproposed by Jisha ...learing approach is about ...for efficient classification of ... See full document
10
Fuz - SVM Classifier Based Object Face Liveness Detection with Combined HOG-LPQ
... to detect object features and finds spoofing attacks on various types of ...combined HOG-LPQ which allows to select specific object based on Region of Interest (ROI) and extract features of ROI, then ... See full document
9
Chinese Text Detection and Recognition in Natural Scene Using HOG and SVM
... In this area-based method, local feature of each pixel in an image is first computed, followed by CCA(Connected Component Analysis), which merges pixels with similar features into an uninterrupted area. As pixels within ... See full document
5
An Effective Multi Level Approaches for Detecting and Analyzing Suspects from Dynamic Public Transit Records
... to detect the suspect/anomaly. This can detect the various anomaly behaviors of passenger ...multi-level approach is used to handle the class imbalance issue in passenger ...Batch approach ... See full document
9
PART-BASED PEDESTRIAN DETECTION AND TRACKING USING HOG-SVM CLASSIFICATION
... Pedestrian detection is an essential and challenging task in any intelligent video surveillance system. Despite the challenges, pedestrian detection remains an active area of research in computer vision and a number of ... See full document
14
Improved Hand Gesture Recognition with SVM, HOG and HMM
... Zhou Ren, et. al. [6] developed a robust part based technique using kinect sensor keeping in view the limitations of glove based and vision based techniques. In their approach, first of all kinect sensor is used ... See full document
7
A. Detection of a Targeted Human
... (unmanned vehicles) have been carried ...can detect human without the differences of colors and movements of a target by using the Histograms of Oriented gradients (HOG) features and the linear ... See full document
6
An Approach Based on SVM Classifier to Detect SQL Injection Attack
... We can conclude that the strategy of attacks that are targeted on web systems depends upon searching process. Based on this fact we developed a security system which uses SVM to analyze SQL statement. It prevents ... See full document
5
Human Activity Recognition Using HOG Features
... projected efficient method for human action detection using HOG features in which XML file of HOG features of positive and negative images of humans was generated and cascade classifier was ...phase, ... See full document
7
Object Tracking using HOG and SVM
... IV. CONCLUSION AND FUTURE WORK In this project, an efficient and effective object tracking is done. It may track object in complex scenes by creating an appearance model based on histogram of oriented gradients ... See full document
5
Classifiers for Detection of Retinal DME Diseases in B-SCAN OCT Images using Image Processing Techniques
... to detect the patients containing Diabetic Macular Edema affected diseases in B-Scan OCT ...classification approach for the detection of Diabetic Macular Edema (DME) from retina OCT images of ...and ... See full document
6
An Efficient Hybrid Approach to Detect Spam in Product based User Review
... Here we have also used C5 Classifier to form small clusters. The C5 classifier is tested first to classify unseen data and for this purpose resulting decision tree is used. C4.5 algorithm follows the rules of ID3 ... See full document
8
Three-dimensional image classification using hierarchical spatial decomposition: A study using retinal data
... find efficient and ac- curate approaches to represent 3D images using the concept of hierarchical spatial decomposition, which will enable reliable classification with respect to real-world prob- ... See full document
231
An Efficient Safety Message Transmission Protocol for Secure Grouping of Vehicles Vanet
... Network coding is a packet-level coding technique to mix information from every packet enabling each packet to have information from other packets. Originally network coding was proposed for efficient multicast ... See full document
6
Human detections using Beagle board-XM
... This chapter describes an entire project overview in brief. Human detector usually includes two phases: Learning phase & Detection phase. In the learning phase, Support Vector Machine (SVM) learning will be ... See full document
9
An Efficient Human Detection using HOG in Surveillance video
... to detect an object which is in ...to detect humans in a surveillance video. Here we have used hog features to detect humans in a surveillance ... See full document
6
Co operative Cluster based Multi Agent Approach for Efficient Traffic Forecasting and Management in VANET
... Multi-Agent Approach (CCMAA) for intelligent routing protocol is proposed for better results since implementing traffic forecasting and efficient routing in dynamically changing environment is a challenging ... See full document
7
An efficient image compression algorithm with...
... We have proposed an algorithm for image encryption and decryption and their performance has been analyzed, based on the computation time required by the algorithm. This algorithm works on a strategy that the data size ... See full document
5
High accuracy detection for T-cells and B-cells using deep convolutional neural networks
... We trained a pre-trained CNN employing transfer learning in order to address the low sensitivity. Owing to optimized feature kernels that are trained using an image dataset in the order of millions, the pre-trained ... See full document
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