mean-shift tracking system
Designing and Implementation of a Highly Efficient Object Tracking System Using Modified Mean Shift Tracking
... adaptive mean shift tracking (MMST) ...the mean shift tracking ...the tracking ability of mean shift alogorithm, in which the contrast between object and ...
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A REVIEW ON MEAN SHIFT ALGORITHM BASED OBJECT TRACKING SYSTEM AND ITS HARDWARE IMPLEMENTATION
... The above is the top level architecture which we have proposed for the hardware implementation of Mean-shift algorithm for Object Tracking. To provide a RGB image as an input to this architecture we ...
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Tracking of various targets in the infrared and issues encountered
... object tracking is a subject of increasing ...these tracking algorithms are widespread; from homeland security and surveillance to the study of animal ...the Mean Shift algorithm have become a ...
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OBJECT TRACKING USING MODIFIED MEAN-SHIFT ALGORITHM
... Object tracking in a video sequence on the target of interest is widely used and the effective tracking has always been a typical problem in the field of computer ...the tracking algorithm, which is ...
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Index Terms - Finding modes, Image segmentation, Image processing, Space analysis & Object tracking, Visual tracking.
... used mean shift algorithm for image segmentation. Mean shift is a multi-used tool for feature space analysis that provides solution for many vision ...chosen mean shift over the ...
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Review on Object Tracking System Using Mean Shift Algorithm and Implementation on FPGA
... 2 Mean-shift algorithms for Object Tracking [5] The above is the top level architecture which we have proposed for the hardware implementation of Mean-shift algorithm for Object ...
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An implementation of Object Tracking using Modified Mean Shift Algorithm
... object tracking is a challenging problem in computer ...object tracking we need to obtain a feature vector which is capable of identifying the object to be tracked despite of presence of translation in the ...
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SECURE ROUTING IN MANET USING ASYMMETRIC GRAPHS
... of Mean shift tracking algorithm and compressed domain motion parameters analysis based on compressed domain motion parameters analysis to achieve a Mean shift tracking ...
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Improved Mean Shift Tracking Algorithm by Multi Scale Motion Information
... - Tracking object algorithms in moving platform environment are a challenging mission because they treat variety of speeds for moving object ...is Mean Shift Algorithm (MSA) due to its simple and ...
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Real Time Pedestrian Detection Algorithm by Mean Shift
... object tracking example, which helps fully realize the Kinect’ s ...a system for predicting pedestrian counts that significantly extended the utility of statistical learning ...
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A Novel Biologically Inspired Attention Mechanism for a Social Robot
... by tracking the proto-objects. Specifically, this work uses the mean-shift ...perception system which main goal is to help in the learning process of a social ...a system to ...
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Mean Shift Tracking for Surveillance: Evaluations and Enhancements
... blobs. Tracking of isolated people is achieved by looking for overlapping bounding boxes in successive ...The system detects possible human head locations by looking for peaks in the vertical histograms of ...
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An Improved Mean Shift Performance Using Switching Kernels for Indonesia Vehicle License Plate Tracking Video
... effective system is needed to promote their product in their respective areas so that potential customers know the location and the latest product information ...advertising system should be easily ...
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AUTOMATIC LIVER SEGMENTATION USING MEAN SHIFT TECHNIQUES
... Here, I give the outline of our final algorithm. In training,given a set of abdominal CT training images (atlases) alongwith the corresponding manual liver labels, ACM is performedto learn a sequence of classifiers in ...
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Area energy aware dataflow optimisation of visual tracking systems
... Our methodology consists of a profiling-refactoring loop, where profiling identifies optimization opportunities and refactoring applies code transformations to optimize the design. Profiling is performed in an orderly ...
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AN ADAPTIVE MEAN-SHIFT ALGORITHM FOR MRI BRAIN SEGMENTATION
... adaptive mean shift algorithm is an automatic method for magnetic resonance imaging (MRI) brain segmentation to classify brain voxels into three main tissue types like gray matter, white matter, and ...
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An Efficient Mean Shift and Graph Based Image Segmentation
... Image segmentation is useful in many applications. It can identify the regions of interest in a scene or annotate the data. We categorize the existing segmentation algorithm into region-based segmentation, data ...
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Adaptive mean shift for skin image segmentation
... In this section, we apply the proposed adaptive mean shift algorithm to segment a skin color image. At first, we smooth a RGB color space and remove noises in the image using a median filter. To make a ...
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Mean Shift Segmentation on RGB and HSV Image
... the mean shift algorithm has been successfully applied to clustering [5, 7],image segmentation [6, 8], tracking [9], ...the mean shift ...
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Shape Analysis of Erythrocytes using Mean Shift Segmentation
... Red blood cells, also called erythrocytes, are the most abundant cell type in the blood. Other major blood components include plasma, white blood cells, and platelets. The primary function of red blood cells is to ...
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