Multiscale crowd counting and localization by multitask point supervision
We propose a multitask approach for crowd counting and person localization in a unified
framework. As the detection and localization tasks are well-correlated and can be jointly …
framework. As the detection and localization tasks are well-correlated and can be jointly …
Semantic heads segmentation and counting in crowded retail environment with convolutional neural networks using top view depth images
In recent years, researchers have developed several techniques to accurately count the
number of people in a crowded retail environment for human behavior analysis, ranging …
number of people in a crowded retail environment for human behavior analysis, ranging …
[HTML][HTML] Low-cost system for analysis pedestrian flow from an aerial view using Near-Infrared, Microwave, and Temperature sensors
The use of IoT systems that support the construction of smart cities is a global trend that
directly affects the quality of life of citizens. for vehicular and pedestrian traffic, the detection …
directly affects the quality of life of citizens. for vehicular and pedestrian traffic, the detection …
MaRTiny—A Low-Cost Biometeorological Sensing Device With Embedded Computer Vision for Urban Climate Research
Extreme heat puts tremendous stress on human health and limits people's ability to work,
travel, and socialize outdoors. To mitigate heat in public spaces, thermal conditions must be …
travel, and socialize outdoors. To mitigate heat in public spaces, thermal conditions must be …
Research on pedestrian counting based on millimeter wave
The thriving development of big data has provided powerful techniques for pedestrian
counting and monitoring in public places, which has attracted great attention. Current …
counting and monitoring in public places, which has attracted great attention. Current …
Research on 24‐Hour Dense Crowd Counting and Object Detection System Based on Multimodal Image Optimization Feature Fusion
G Ren, X Lu, Y Li - Scientific Programming, 2022 - Wiley Online Library
Motivation. In the environment of day and night video surveillance, in order to improve the
accuracy of machine vision dense crowd counting and target detection, this paper designs a …
accuracy of machine vision dense crowd counting and target detection, this paper designs a …
RGB-D and corrupted images in assistive blind systems in smart cities
A Yehia, SA Taie - Bulletin of Electrical Engineering and Informatics, 2022 - beei.org
Assistive blind systems or assistive systems for visually impaired in smart cities help visually
impaired to perform their daily tasks faced two problems when using you only look once …
impaired to perform their daily tasks faced two problems when using you only look once …
Machine Learning and Vision Using Edge Devices for Multimodal Chatbots and Bio-meteorological Sensing
KK Kulkarni - 2021 - search.proquest.com
Abstract Machine learning (ML) and deep learning (DL) has become an intrinsic part of
multiple fields. The ability to solve complex problems makes machine learning a panacea. In …
multiple fields. The ability to solve complex problems makes machine learning a panacea. In …
Biometeorological sensing device with embedded computer vision
2022-11-16 Assigned to ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE
UNIVERSITY reassignment ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA …
UNIVERSITY reassignment ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA …