[PDF] Top 20 Real Time Pedestrian Detection Algorithm by Mean Shift
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Real Time Pedestrian Detection Algorithm by Mean Shift
... target detection technology by mean shift based on depth ...Because mean shift tracking algorithm just calculates the pixel values of the probability density in target area, and ... See full document
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Unsupervised Target Detection in SAR Images Using Scattering Center Model and Mean Shift Clustering Algorithm
... ship detection in synthetic aperture radar (SAR) images is ...clustering algorithm. Unlike most of the approaches in ship detection, we address an algorithm that incorporates SAR ... See full document
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Hardware Efficient Mean Shift Clustering Algorithm Implementation on FPGA
... the mean shift algorithm, by expeditiously applying it to image processing application, chiefly image segmentation, and pursuit and edge ...the mean shift rule has become associate ... See full document
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An implementation of Object Tracking using Modified Mean Shift Algorithm
... matching algorithm is an efficient and fast detection algorithm that find the maximum probability point in the image that similar to the ...calculating time, the search region is not the whole ... See full document
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Texture based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm
... text detection methods are typically either connected component (CC)-based or ...usually time consuming as texture classification is inherently computationally ... See full document
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OBJECT TRACKING USING MODIFIED MEAN-SHIFT ALGORITHM
... tracking algorithm, which is real-time and ...account real-time and soundness of the system is always the forefront of ...algorithms, Mean-Shift tracking algorithm ... See full document
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Homogeneous region segmented using the mean shift algorithm for video inpainting
... computational time, a frame is inpainted by considering a small number of neighboring pictures which are grouped into a group of pictures ...the algorithm complexity and makes the approach well suited for ... See full document
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Improved Mean Shift Tracking Algorithm by Multi Scale Motion Information
... is Mean Shift Algorithm (MSA) due to its simple and efficient ...in real applications ...based mean shift with motion information obtained from Optical Flow ... See full document
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AN ADAPTIVE MEAN-SHIFT ALGORITHM FOR MRI BRAIN SEGMENTATION
... is time consuming and it is very hard to do accurate ...(K-means algorithm, C-means algorithm, E-means algorithm, Adaptive Mean Shift Algorithm), Histogram thresholding, ... See full document
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Object Tracking using Modified Mean Shift Algorithm in a Robust Manner
... the mean shift tracking algorithm is a popular one due to its simplicity and ...The mean shift algorithm was originally developed by Fukunaga and Hostetler for data ... See full document
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Real time intrusion detection system using hybrid concept
... with the probability of the variables occurring given that the result should occurs. The probability of proof variable gives the result occurs is assumed to be independent of the probability of other proof variables give ... See full document
7
A Real-Time Pulse Peak Detection Algorithm for the Photoplethysmogram
... The algorithm basically used to suppress the noises is digital bandpass ...This algorithm does not require detection of any reference points in the PPG ...The algorithm first estimates the ... See full document
5
Integer Arithmetic Approximation of the HoG Algorithm used for Pedestrian Detection
... HoG algorithm reacts on fixed-point approximation, and how entire algorithm behaves while mathematical operations are ...of pedestrian detection using HoG could be changed or optimized to ... See full document
18
Hierarchical Image Segmentation Using a Combined Geometrical and Feature Based Approach
... tion algorithm using contrast ...segmentation algorithm that performed feature extraction using the Dual-Tree Complex Wavelet Transform ...thresholding algorithm also known as fuzzy C-means hybrid ... See full document
21
Real Time PCR Assay for Diagnosis of Entamoeba histolytica Infection
... a real-time-PCR assay utilizing a molecular-beacon probe for the detection of Entamoeba histolytica and compared its sensitivity to stool antigen detection and traditional ...antigen ... See full document
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Mean Shift detection under long range dependencies with ART
... Regression trees operate in two steps. First the growing step spans a tree which is often over- fitted (see Rea et al. (2008)) and so the second step, the pruning, is the much more important part. The regression trees ... See full document
15
Vegetation of Low Cost Remote Sensing Images by Mean Shift Algorithm
... the mean-shift algorithm, based on the density estimation in the color feature on images taken by a low-cost ...of mean shift algorithm and vegetation indices give better ... See full document
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Real Time Drowsiness Detection System using Viola Jones Algorithm
... jones algorithm includes training of the data set using any machine learning ...object detection framework, the Haar-like features are therefore organized in something called a classifier cascade to form a ... See full document
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Rapid Identification of Methicillin Resistant Staphylococcus aureus Using Real Time PCR
... are time-consuming and misinterpretation occurs sometimes when methicillin resistance is simulated by the hyper production of beta- lactamase [5] or coagulase activity is weak ... See full document
6
The Approach Of Mean Shift Based Cosine Dissimilarity For Multi-Recording Speaker Clustering
... proposed Mean Shift algorithm based Cosine distance, we ran it several times on the test dataset by changing the threshold h from ...of Mean Shift algorithm ... See full document
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