|
|
|
|
|
Atiq ur Rehman, Samir Brahim Belhaouari, Md Alamgir Kabir and Adnan Khan
The video classification task has gained significant success in the recent years. Specifically, the topic has gained more attention after the emergence of deep learning models as a successful tool for automatically classifying videos. In recognition of t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vladimir Kulyukin
In 2014, we designed and implemented BeePi, a multi-sensor electronic beehive monitoring system. Since then we have been using BeePi monitors deployed at different apiaries in northern Utah to design audio, image, and video processing algorithms to analy...
ver más
|
|
|
|
|
|
|
|
|
|
|
Francesca Condorelli, Fulvio Rinaudo, Francesco Salvadore and Stefano Tagliaventi
Documenting Cultural Heritage through the extraction of 3D measures with photogrammetry is fundamental for the conservation of the memory of the past. However, when the heritage has been lost the only way to recover this information is the use of histori...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nico Valentini and Yann Balouin
Coastal video monitoring has proven to be a valuable ground-based technique to investigate ocean processes. Presently, there is a growing need for automatic, technically efficient, and inexpensive solutions for image processing. Moreover, beach and coast...
ver más
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Dmitry A. Konovalov, Natalie Swinhoe, Dina B. Efremova, R. Alastair Birtles, Martha Kusetic, Suzanne Hillcoat, Matthew I. Curnock, Genevieve Williams and Marcus Sheaves
A predictable aggregation of dwarf minke whales (Balaenoptera acutorostrata subspecies) occurs annually in the Australian waters of the northern Great Barrier Reef in June?July, which has been the subject of a long-term photo-identification study. Resear...
ver más
|
|
|
|
|
|
|
|
|
|
|
George Albert Florea and Radu-Casian Mihailescu
Deep learning (DL) models have emerged in recent years as the state-of-the-art technique across numerous machine learning application domains. In particular, image processing-related tasks have seen a significant improvement in terms of performance due t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jin-Hyun Park and Changgu Kang
In the underwater environment, in order to preserve rare and endangered objects or to eliminate the exotic invasive species that can destroy the ecosystems, it is essential to classify objects and estimate their number. It is very difficult to classify o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Roman Kazantsev,Sergey Zvezdakov,Dmitriy Vatolin
Pág. 33 - 38
In this paper we propose hand-crafted physical features for video that can be used in a wide range of different regression and classification problems in video processing. For evaluation of resulted set of features we consider video genre classification ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Julio Suarez-Paez, Mayra Salcedo-Gonzalez, Alfonso Climente, Manuel Esteve, Jon Ander Gómez, Carlos Enrique Palau and Israel Pérez-Llopis
This paper shows a Novel Low Processing Time System focused on criminal activities detection based on real-time video analysis applied to Command and Control Citizen Security Centers. This system was applied to the detection and classification of crimina...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shian-Ru Ke, Hoang Le Uyen Thuc, Yong-Jin Lee, Jenq-Neng Hwang, Jang-Hee Yoo and Kyoung-Ho Choi
This review article surveys extensively the current progresses made toward video-based human activity recognition. Three aspects for human activity recognition are addressed including core technology, human activity recognition systems, and applications ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdorreza Alavigharahbagh, Vahid Hajihashemi, José J. M. Machado and João Manuel R. S. Tavares
In this article, a hierarchical method for action recognition based on temporal and spatial features is proposed. In current HAR methods, camera movement, sensor movement, sudden scene changes, and scene movement can increase motion feature errors and de...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qaisar Abbas, Talal Saad Albalawi, Ganeshkumar Perumal and M. Emre Celebi
In recent years, advances in deep learning (DL) techniques for video analysis have developed to solve the problem of real-time processing. Automated face recognition in the runtime environment has become necessary in video surveillance systems for urban ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sajad Sabzi, Razieh Pourdarbani, Davood Kalantari and Thomas Panagopoulos
The first step in identifying fruits on trees is to develop garden robots for different purposes such as fruit harvesting and spatial specific spraying. Due to the natural conditions of the fruit orchards and the unevenness of the various objects through...
ver más
|
|
|
|
|
|