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RAPID OBJECT DETECTION SYSTEMS, UTILISING DEEP LEARNING AND UNMANNED AERIAL SYSTEMS (UAS) FOR CIVIL ENGINEERING APPLICATIONS
Object detection Deep Learning Unmanned Aerial Systems Railway, Rapid
2018/6/4
With deep learning approaches now out-performing traditional image processing techniques for image understanding, this paper accesses the potential of rapid generation of Convolutional Neural Networks...
OBJECT DETECTION IN AIRBORNE LIDAR DATA FOR IMPROVED SOLAR RADIATION MODELING IN URBAN AREAS
Airborne LiDAR 3D Point Cloud Solar Potential 3D Horizon Segmentation Vegetation
2016/2/29
In times of higher market prices of fossil fuels and to meet the increasingly environmental and economic threads of climate change
renewable energy must play a major role for global energy supply. Th...
Justifying the importance of color cues in object detection: a case study on pedestrian
Pedestrian detection Color space analysis Color descriptor Invariant descriptor.
2013/7/24
Considerable progress has been made on hand-crafted features in object detection, while little effort has been devoted to make use of the color cues. In this paper, we study the role of color cues in ...
Biological-Inspired Computational Modeling of Eye-Motion Control for Object Detection
Biological-Inspired Computational Modeling Eye-Motion Control
2010/12/20
Eye movement plays an important role in human vision system. How to control eye or gaze movement automatically for image understanding is an interesting issue.This paper presents a progress of our res...
Biological-Inspired Computational Modeling of Eye-Motion Control for Object Detection
Biological-Inspired Computational Modeling Eye-Motion Control Object Detection
2013/7/16
Eye movement plays an important role in human vision system. How to control eye or gaze movement automatically for image understanding is an interesting issue. This paper presents a progress of our re...
Object detection using spatial histogram features
Object detection spatial histogram features
2010/12/16
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, they can preserve textu...
Learning Informative Features for Spatial Histogram-Based Object Detection,
Informative Features Spatial Histogram-Based Object Detection
2010/12/15
Abstract—Feature extraction for object representation plays an important role in automatic object detection system. As the spatial histograms consist of marginal distribution of image
over local pat...