[PDF] Top 20 Design of an algorithm for vehicular traffic detection using computer vision techniques

... same algorithm developed for the study of diurnal ...the algorithm registered ...of vehicular headlights create regions with very sharp edges that end up deceiving the system doing it believe that ... See full document

... processing techniques for Night light, Rainy weather , broken lane and normal road ...growing traffic and improper driving one may suffer from an ... See full document

... to detection of traffic lights. On the other hand, feed detection methods of signal Red are proposed by Yung and Lai and Luo, Huang and Qin with the camera located at a fixed point of the via where ... See full document

... but traffic survey shows that driver fatigue may be a contributory factor in up to 20% and due to alcohol drinking it is about 31% of all road ...new design to detect the drowsiness and alcohol intake of ... See full document

... Many machine-learning and data mining methods are based on Naïve Bayes rule. This algorithm creates models having predictive capabilities. Also it gives a new direction of exploring and understanding data. When ... See full document

... security using visual information, In Medical therapy to improve the quality of life for physical therapy patients and disabled people, In Retail space instrumentation to analyse shopping behaviour of customers to ... See full document

... non-contact techniques are very interesting for 3D characterization of sensitive and complex engineering ...a computer vision ...the vision system is used to capture images for successive ... See full document

... Edge detection is one of the fundamental steps in image processing, image analysis, image pattern recognition, and computer vision ...deals computer vision systems, orientation and ... See full document

... developing techniques for identifying plants through physical information of their leaves has been done around the study of shapes and color patterns, being limited by aspects like similarity between different ... See full document

... [1] This research work is based on detecting insider attack or adversity that can be classified as anomaly. The process is detection is based on statistical methods. To demonstrate its working they have conducted ... See full document

... There has been some method to statistic the traffic flow based on computer vision, such as background subtraction or optical flow. But the result is not accurate, because they cannot filter the ... See full document

... Abstract: Detection of defect is an inevitable task in ceramic ...automatic detection of the types of defects in ceramic products: the previous one is detection of a defect in ceramic plates for ... See full document

... fire detection methods have been proposed using various remote sensing systems based on infrared thermal camera imaging, airborne or ground-based Lidar , Satellite-based Synthetic Aperture Radar (SAR) ... See full document

... convincing vision of major land ...intrusion detection capability is an elusive goal, not solved easily or with a single ...Density detection algorithm to detect and track the contour of ... See full document

... Digital image processing is an important aspect of image recognition technology. There are a many techniques that provide variety in feature extraction algorithms.The feature extraction stage of any ... See full document

... In Computer Vision, many techniques are available for detection of the moving object, but Mixture of Gaussian (MoG) models [1] is best suited for system having static and complex background ... See full document

... Night Vision closed-circuit television camera(CCTV) that is mainly used in Surveillance System, are connected to the IoT Device and used for Computer Vision Module to read the Video frame by frame ... See full document

... The Laplacian is a 2-D isotropic measure of the 2nd spatial derivative of an image. The Laplacian of an image highlights regions of rapid intensity change and is therefore often used for edge detection. The ... See full document

... fire detection systems have been shown to be ineffective in large ...fire detection systems, spatial, spectral and temporal indicators are important in the identification of a fire ...fire detection ... See full document

... Android is becoming one of the most popular operating systems on smartphones, tablet computers and similar mobile devices. With the quick development in mobile device specifications, it is worthy to think about mobile ... See full document