|
|
|
|
|
Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza and Fan Zhang
Surveillance video analytics encounters unprecedented challenges in 5G and IoT environments, including complex intra-class variations, short-term and long-term temporal dynamics, and variable video quality. This study introduces Edge-Enhanced TempoFuseNe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tianhao Gao, Meng Zhang, Yifan Zhu, Youjian Zhang, Xiangsheng Pang, Jing Ying and Wenming Liu
Classifying sports videos is complex due to their dynamic nature. Traditional methods, like optical flow and the Histogram of Oriented Gradient (HOG), are limited by their need for expertise and lack of universality. Deep learning, particularly Convoluti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Oleg Kalyta, Olexander Barmak, Pavlo Radiuk and Iurii Krak
Can be used in video surveillance systems for large groups of people.
|
|
|
|
|
|
|
|
|
|
|
Arun A. Ravindran
The falling cost of IoT cameras, the advancement of AI-based computer vision algorithms, and powerful hardware accelerators for deep learning have enabled the widespread deployment of surveillance cameras with the ability to automatically analyze streami...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hayat Ullah and Arslan Munir
The recognition of human activities using vision-based techniques has become a crucial research field in video analytics. Over the last decade, there have been numerous advancements in deep learning algorithms aimed at accurately detecting complex human ...
ver más
|
|
|
|
|
|
|
|
|
|
|
João V. R. de Andrade, Bruno J. T. Fernandes, André R. L. C. Izídio, Nilson M. da Silva Filho and Francisco Cruz
The opportunities for leveraging technology to enhance the efficiency of vessel port activities are vast. Applying video analytics to model and optimize certain processes offers a remarkable way to improve overall operations. Within the realm of vessel p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jin Cao, Bo Li, Mengni Fan and Huiyu Liu
Deep neural network-based computer vision applications have exploded and are widely used in intelligent services for IoT devices. Due to the computationally intensive nature of DNNs, the deployment and execution of intelligent applications in smart scena...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anastasia Isakova,Vadim Sharmaev
Pág. 77 - 83
A construction area is an object of an increased risk zone for everyone who is on it, therefore, the security measures imposed on this territory must be strictly observed. Often, the process of observing safety precautions is formal and consists in condu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Janith Kodithuwakku, Dilki Dandeniya Arachchi and Jay Rajasekera
It is not an easy task for organizers to observe the engagement level of a video meeting audience. This research was conducted to build an intelligent system to enhance the experience of video conversations such as virtual meetings and online classrooms ...
ver más
|
|
|
|
|
|
|
|
|
|
|
E.E. Istratova,E.A. Bukhamer,I.N. Tomilov
Pág. 54 - 60
The article presents the results of the development of a motion detection method taking into account the filtering of noise in the frame. Based on the analysis of literature sources, a combined approach to motion detection based on classical and heuristi...
ver más
|
|
|
|
|
|