Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …
research area. This growing interest, started in the last decades, might be explained by the …
Visual SLAM and structure from motion in dynamic environments: A survey
In the last few decades, Structure from Motion (SfM) and visual Simultaneous Localization
and Mapping (visual SLAM) techniques have gained significant interest from both the …
and Mapping (visual SLAM) techniques have gained significant interest from both the …
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
The rampant coronavirus disease 2019 (COVID-19) has brought global crisis with its deadly
spread to more than 180 countries, and about 3,519,901 confirmed cases along with …
spread to more than 180 countries, and about 3,519,901 confirmed cases along with …
[PDF][PDF] Survey of video based small target detection
Y Liu, L Geng, W Zhang, Y Gong, Z Xu - Journal of Image and Graphics, 2021 - joig.net
Video based target detection is an important research content in intelligent video
surveillance, which extracts foreground objects from background images in video …
surveillance, which extracts foreground objects from background images in video …
Background matting: The world is your green screen
We propose a method for creating a matte-the per-pixel foreground color and alpha-of a
person by taking photos or videos in an everyday setting with a handheld camera. Most …
person by taking photos or videos in an everyday setting with a handheld camera. Most …
CDnet 2014: An expanded change detection benchmark dataset
Change detection is one of the most important low-level tasks in video analytics. In 2012, we
introduced the changedetection. net (CDnet) benchmark, a video dataset devoted to the …
introduced the changedetection. net (CDnet) benchmark, a video dataset devoted to the …
Traditional and recent approaches in background modeling for foreground detection: An overview
T Bouwmans - Computer science review, 2014 - Elsevier
Background modeling for foreground detection is often used in different applications to
model the background and then detect the moving objects in the scene like in video …
model the background and then detect the moving objects in the scene like in video …
Fall detection in homes of older adults using the Microsoft Kinect
A method for detecting falls in the homes of older adults using the Microsoft Kinect and a two-
stage fall detection system is presented. The first stage of the detection system characterizes …
stage fall detection system is presented. The first stage of the detection system characterizes …
[PDF][PDF] 基于视觉的目标检测与跟踪综述
尹宏鹏， 陈波， 柴毅， 刘兆栋 - 自动化学报, 2016 - aas.net.cn
摘要基于视觉的目标检测与跟踪是图像处理, 计算机视觉, 模式识别等众多学科的交叉研究课题,
在视频监控, 虚拟现实, 人机交互, 自主导航等领域, 具有重要的理论研究意义和实际应用价值 …
在视频监控, 虚拟现实, 人机交互, 自主导航等领域, 具有重要的理论研究意义和实际应用价值 …
[HTML][HTML] Detection and segmentation of manufacturing defects with convolutional neural networks and transfer learning
MK Ferguson, AK Ronay, YTT Lee… - Smart and sustainable …, 2018 - ncbi.nlm.nih.gov
Quality control is a fundamental component of many manufacturing processes, especially
those involving casting or welding. However, manual quality control procedures are often …
those involving casting or welding. However, manual quality control procedures are often …