Overview: Computer vision and machine learning for microstructural characterization and analysis

EA Holm, R Cohn, N Gao, AR Kitahara… - … Materials Transactions A, 2020 - Springer
Microstructural characterization and analysis is the foundation of microstructural science,
connecting materials structure to composition, process history, and properties …

CO2 based occupancy detection algorithm: Experimental analysis and validation for office and residential buildings

D Calì, P Matthes, K Huchtemann, R Streblow… - Building and …, 2015 - Elsevier
The detection of occupants in indoors can be fundamental for a correct operation of the
installed engineering systems (eg lighting, ventilation, heating and cooling). Further, real …

A review on vision-based pedestrian detection in intelligent transportation systems

B Li, Q Yao, K Wang - Proceedings of 2012 9th IEEE …, 2012 - ieeexplore.ieee.org
Pedestrians are key participants in transportation systems, so pedestrian detection in video
surveillance systems is of great significance to the research and application of Intelligent …

People detection and finding attractive areas by the use of movement detection analysis and deep learning approach

EN Kajabad, SV Ivanov - Procedia Computer Science, 2019 - Elsevier
This paper presents a technical approach related to the video computer analysis, to detect
people and control the behaviour of people. Control the behaviour of people in public place …

Fall detection system-based posture-recognition for indoor environments

A Iazzi, M Rziza, R Oulad Haj Thami - Journal of imaging, 2021 - mdpi.com
The majority of the senior population lives alone at home. Falls can cause serious injuries,
such as fractures or head injuries. These injuries can be an obstacle for a person to move …

Real-time crowd density mapping using a novel sensory fusion model of infrared and visual systems

S Yaseen, A Al-Habaibeh, D Su, F Otham - Safety science, 2013 - Elsevier
Crowd dynamic management research has seen significant attention in recent years in
research and industry in an attempt to improve safety level and management of large scale …

[PDF][PDF] Everything counts: a Taxonomy of Deep Learning Approaches for Object Counting.

K Heinrich, A Roth, P Zschech - ECIS, 2019 - researchgate.net
Many tasks, like process fault detection, disease diagnostic or maintaining security in public
places are connected to the process of counting objects from observing image data like …

[PDF][PDF] Counting of people in the extremely dense crowd using genetic algorithm and blobs counting

M Arif, S Daud, S Basalamah - IAES …, 2013 - download.garuda.kemdikbud.go.id
In this paper, we have proposed a framework to count the moving person in the video
automatically in a very dense crowd situation. Median filter is used to segment the …

[PDF][PDF] Image processing based ambient context-aware people detection and counting

Z Al-Zaydi, B Vuksanovic, I Habeeb - International Journal of Machine …, 2018 - ijml.org
Different technologies are employed to detect and count people in various situations but
crowd counting system based on computer vision is one of the best choices due to a number …

Detecting dominant motion flows and people counting in high density crowds

S Khan, G Vizzari, S Bandini, S Basalamah - Journal of WSCG, 2014 - boa.unimib.it
Urbanisation is growingly generating crowding situations which generate potential issues for
planning and public safety. This paper proposes new techniques of crowd analysis and …