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12 results for “Pedestrian”
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Research ArticleOpen accessEvery word in the titlePedestrian Recognition Based on Multi-Scale Weighted HOGMonther Hussein Al-BsoolPedestrian recognition receives a great attention in recent years due to its importance in traffic accidents identification. Traffic surveillance systems can provide valuable information for pedestrian recognition using computer vision and image processing techniques. Most techniques exploit simple feature extraction and multi-stage feature matching to train classifiers. In this study, Canny edge information and Histogram of Oriented Gradient (HOG) has … …Journal of Computer Science, Vol. 14, Issue 11 · 7 Nov 2018 · 7,161 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Pedestrian Detection Using Context InformationJorge Candido, Mauricio MarengoniDetecting pedestrians among other objects in a digital image is a relevant task in the field of computer vision. This paper presents a method to improve the performance of a pedestrian detection algorithm using context information. A neural network is used to classify the region below pedestrian candidates as being floor or non-floor. We assume that a pedestrian must be … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 7,224 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Improved Speed-Density Relationship Model for Pedestrian FlowLuthful Alahi Kawsar, Noraida Abdul Ghani, Anton Abdulbasah Kamil, Adli MustafaThe speed-density relationship performs as a basis to realize the behavior of a complex system such as vehicular or pedestrian traffic flow. Based on the speed-density relationship, the relationships between other pedestrian characteristics such as speed-flow, flow-density and speed-pedestrian module could be derived. Compared to vehicular flow, very little research has been done to develop a general model to describe … …American Journal of Applied Sciences, Vol. 14, Issue 1 · 30 Jan 2017 · 7,869 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePedestrian Detection in RGB-D Data Using Deep AutoencodersPavel Aleksandrovich Kazantsev, Pavel Vyacheslavovich SkribtsovRecent popularity of RGB-D sensors mostly comes from the fact that RGB-images and depth maps supplement each other in machine vision tasks, such as object detection and recognition. This article addresses a problem of RGB and depth data fusion for pedestrian detection. We propose pedestrian detection algorithm that involves fusion of outputs of 2D- and 3D-detectors based on deep autoencoders. … …American Journal of Applied Sciences, Vol. 12, Issue 11 · 17 Nov 2015 · 6,815 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleROTATING A MEMS INERTIAL MEASUREMENT UNIT FOR A FOOT-MOUNTED PEDESTRIAN NAVIGATIONKhairi Abdulrahim, Chris Hide, Terry Moore, Chris HillPedestrian navigation especially indoors suffers from the unavailability of useful GNSS signals for positioning. Alternatively, a low-cost Inertial Measurement Unit (IMU) positioning system that does not depend on the GNSS signal can be used for indoor navigation. However its performance is still compromised because of the fast-accumulating heading drift error affecting such a low-cost IMU sensor. This results in a … …Journal of Computer Science, Vol. 10, Issue 12 · 5 Jan 2015 · 8,671 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSimulation of the Pedestrians' Influence to the Capacity of Motorised Vehicles in a RoundaboutT. Tollazzi, T. Lerher, M. ŠramlA new approach is suggested for dimensioning roundabouts with mathematical modeling of traffic flows using the discreet simulation method, and considering the statistically evaluated entry data for vehicles’ and pedestrians’ traffic flows. The simulation results are useful when determining the capacity of the roundabouts, which will function in different circumstances. The presented model derives from the expected time void in … …American Journal of Applied Sciences, Vol. 5, Issue 1 · 31 Jan 2008 · 6,901 accessesView PDFCite
Research ArticleOpen accessIn the abstractObject Detection and Classification from Thermal Images Using Region based Convolutional Neural NetworkUsha Mittal, Sonal Srivastava, Priyanka ChawlaIn recent years, object detection and classification has gained so much popularity in different application areas like face detection, self- driving cars, pedestrian detection, security surveillance systems etc. The traditional detection methods like background subtraction, Gaussian Mixture Model (GMM), Support Vector Machine (SVM) have certain drawbacks like overlapping of objects, distortion due to smoke, fog, lightening conditions etc. In this … …Journal of Computer Science, Vol. 15, Issue 7 · 18 Jul 2019 · 9,454 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Thermal Comfort in Respect to Building Height in a High-Density City in the TropicsAnisha Noori Kakon, Mishima Nobuo, Shoichi Kojima, Taguchi YokoProblem statement: The significance of urban design and planning in the tropics lies mostly on its climatic and regional concerns. Among many design parameters, building height is an important parameter which affects thermal climate in the city considerably. This study investigated the effect of building height on outdoor thermal comfort during the daytime in summer in Dhaka, Bangladesh which is … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 3 · 30 Sep 2010 · 8,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractEngineering Properties of Locally Manufactured Burnt Brick Pavers for Agrarian and Rural Earth RoadsEmmanuel Akintunde OkunadeThis study explored the possibility of employing burnt bricks produced locally by completely traditional methods as pavers on unpaved agrarian and rural earth roads in indigent communities. The pavers would eliminate the problems on such roads of being waterlogged and impassible during the rainy season months and those of environmental and health hazards from raised dust during the dry season … …American Journal of Applied Sciences, Vol. 5, Issue 10 · 31 Oct 2008 · 7,004 accessesView PDFCite
Review ArticleOpen accessIn the abstractIntegrating Data Mining Methods Across all Domains of a Smart CityRushit Dave, Nuo Xu, Simon Arneberg et al.As modern cities continue to develop, smart devices are being used to improve citizens’ lives. As these devices become more sophisticated, the amount of information that they collect increases. A Smart City is a city that uses a large amount of generated data to constantly improve the services offered to the people that live there. Data mining techniques can be … …Journal of Computer Science, Vol. 18, Issue 5 · 30 May 2022 · 7,080 accessesView PDFCite