Results 11 to 20 of about 208,015 (261)

Gait Recognition Based on SURF-BoW of Image Space Pyramid [PDF]

open access: yesJisuanji gongcheng, 2017
In gait recognition,the performance is easily weakened by the change of clothing.In this respect,a gait recognition method is proposed by preserving the space distribution information of gait features.The Speeded-Up Robust Features(SURF) are extracted ...
SHI Dongcheng,JIA Lingyao,LIANG Chao,WANG Xinying
doaj   +1 more source

Sparse Weighted Constrained Energy Minimization for Accurate Remote Sensing Image Target Detection

open access: yesRemote Sensing, 2017
Target detection is an important task for remote sensing images, while it is still difficult to obtain satisfied performance when some images possess complex and confusion spectrum information, for example, the high similarity between target and ...
Ying Wang, Miao Fan, Jie Li, Zhaobin Cui
doaj   +1 more source

Capacity of Urban Green Infrastructure Spaces to Ameliorate Heat Wave Impacts in Mediterranean Compact Cities: Case Study of Granada (South-Eastern Spain)

open access: yesLand, 2023
Heat wave episodes are becoming more frequent and severe worldwide, especially in areas such as the Mediterranean region. This study is aimed at assessing the impact of heat waves in an urban environment and the ways areas of urban green infrastructure ...
Manuel José Delgado-Capel   +2 more
doaj   +1 more source

Deep Neural Network with Extracted Features for Social Group Detection [PDF]

open access: yesJournal of Electrical and Computer Engineering Innovations, 2021
Background and Objectives: Video processing is one of the essential concerns generally regarded over the last few years. Social group detection is one of the most necessary issues in crowd.
A. Akbari, H. Farsi, S. Mohamadzadeh
doaj   +1 more source

Indoor Localization Algorithms for an Ambulatory Human Operated 3D Mobile Mapping System

open access: yesRemote Sensing, 2013
Indoor localization and mapping is an important problem with many applications such as emergency response, architectural modeling, and historical preservation. In this paper, we develop an automatic, off-line pipeline for metrically accurate, GPS-denied,
Nicholas Corso, Avideh Zakhor
doaj   +1 more source

Improved Land Cover Classification of VHR Optical Remote Sensing Imagery Based Upon Detail Injection Procedure

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Development of very-high-resolution (VHR) remote sensing imaging platforms have resulted in a requirement for developing refined land cover classification maps for various applications.
Qianbo Sang   +5 more
doaj   +1 more source

A Comprehensive Survey on Geometric Deep Learning

open access: yesIEEE Access, 2020
Deep learning methods have achieved great success in analyzing traditional data such as texts, sounds, images and videos. More and more research works are carrying out to extend standard deep learning technologies to geometric data such as point cloud or
Wenming Cao   +3 more
doaj   +1 more source

People detection in surveillance: classification and evaluation

open access: yesIET Computer Vision, 2015
Nowadays, people detection in video surveillance environments is a task that has been generating great interest. There are many approaches trying to solve the problem either in controlled scenarios or in very specific surveillance applications.
Álvaro García‐Martín   +1 more
doaj   +1 more source

ULTRASOUND VIDEO ANALYSIS FOR UNDERSTANDING INFANT BREASTFEEDING

open access: yesВопросы современной педиатрии, 2012
While it has been widely proved that breastfeeding is the healthiest feeding option for a baby and its mother, the mechanisms by which a baby removes milk from the breast are still not completely known.
G. Monaci, M. Woolridge
doaj   +1 more source

Unsupervised Class Generation to Expand Semantic Segmentation Datasets

open access: yesJournal of Imaging
Semantic segmentation is a computer vision task where classification is performed at the pixel level. Due to this, the process of labeling images for semantic segmentation is time-consuming and expensive.
Javier Montalvo   +3 more
doaj   +1 more source

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