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Traffic Load Computation using Corner Detection Technique in Matlab Simulink Model
"... Traffic is the major problem which every country faces because of the increase in number of vehicles throughout the world, particularly in large urban areas. This document presents a new developed Matlab Simulink model to compute traffic load for real time traffic signal control. Signal processing B ..."
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Traffic is the major problem which every country faces because of the increase in number of vehicles throughout the world, particularly in large urban areas. This document presents a new developed Matlab Simulink model to compute traffic load for real time traffic signal control. Signal processing Blockset and video and image processing Blockset have been used for traffic load computation. The approach used is corner detection operation, wherein, corners are extracted to count the number of vehicles. This block finds the location of the corners, the number of corners, and the corner metric values. The developed model computes the results with greater degrees of accuracy and is capable of being used to set the green signal duration so as to release the traffic dynamically on traffic junctions.
RECOGNITION AND TRACKING MOVING OBJECTS USING MOVING CAMERA IN COMPLEX SCENES
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Faster Detection of Independent Lossy Compressed Block Errors in Images and Videos
"... An effecting compression algorithm removes the redundancy of image signal, when we want to represent high quality videos and images with lower bit rate. Removal of statistical correlation and insignificant components of image signal make the corresponding videos and images highly compressed. This pa ..."
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An effecting compression algorithm removes the redundancy of image signal, when we want to represent high quality videos and images with lower bit rate. Removal of statistical correlation and insignificant components of image signal make the corresponding videos and images highly compressed. This paper represents a new algorithm to measure the blocking artifacts of videos by analyzing the distortions of local properties of image signals like dominant edge magnitude and direction. We also want to incorporate light weighted human vision measurement system like edge information to measure video artifacts in real time. Then simple bucket filling approach is applied, where the particular bucket contains the maximum value also indicating the block boundaries that are passed to the report module. After computing distortion measure a proposed detection approach is used to capture the distorted frames. Extensive experiments on various videos show that the new algorithm is very much efficient and faster to measure the independent lossy compressed block errors in real time video error detection applications.
MOSAICING IN VARIOUS IMAGES: A SURVEY
"... K-means clustering and watershed are the key techniques used as a combination, Edge detection procedure and region, merging are also used. Merging method based on mean gray values and edge strengths (T1, T2) are used to avoid over segmentation. To merge different regions of same object different gra ..."
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K-means clustering and watershed are the key techniques used as a combination, Edge detection procedure and region, merging are also used. Merging method based on mean gray values and edge strengths (T1, T2) are used to avoid over segmentation. To merge different regions of same object different gray levels are used. Fuzzy enhancement is used to realize the image detection; this also solves the problem of clearance. A comparative study of various edge detection techniques is also proposed in this paper. To present the face mosaic, a statistical model containing mean images and Eigen an images are used instead of only one image template. The integration of digital image processing and laser light projection for the synthesis of geo referenced 3D optical maps of underwater scenes are developed through these techniques.
