A systematic review of intelligence video surveillance: Trends, techniques, frameworks, and datasets

GF Shidik, E Noersasongko, A Nugraha… - IEEE …, 2019 - ieeexplore.ieee.org
Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …

Deep learning for plastic waste classification system

J Bobulski, M Kubanek - Applied Computational Intelligence …, 2021 - Wiley Online Library
Plastic waste management is a challenge for the whole world. Manual sorting of garbage is
a difficult and expensive process, which is why scientists create and study automated sorting …

[PDF][PDF] Intelligent video surveillance systems for public spaces–a survey

M Zabłocki, K Gościewska, D Frejlichowski… - Journal of Theoretical …, 2014 - Citeseer
In recent years, a large number of cameras have been installed in public spaces as a part of
intelligent video surveillance systems. Such systems are being continuously developed due …

[图书][B] Intelligente Videoüberwachung

S Bretthauer - 2017 - nomos-elibrary.de
Die Videoüberwachung öffentlicher Räume mittels modernster Videokameratechnik nimmt
in den letzten Jahren stetig zu. So wird Videoüberwachung etwa zur Überwachung von …

Automatic analysis of vehicle trajectory applied to visual surveillance

A Nowosielski, D Frejlichowski, P Forczmański… - Image Processing and …, 2016 - Springer
In this paper we discuss a problem of automatic analysis of vehicles trajectories in the
context of illegal movements. It is crucial to detect restricted or security critical behaviour on …

Robust action recognition framework using segmented block and distance mean histogram of gradients approach

V Tripathi, D Gangodkar, A Mittal, V Kanth - Procedia computer science, 2017 - Elsevier
This paper propose two novel algorithms, segmented block of mean image with
normalization and distance mean histogram of gradients for generating descriptor. Feature …

Applying image features and AdaBoost classification for vehicle detection in the 'SM4Public'system

D Frejlichowski, K Gościewska, P Forczmański… - Image Processing and …, 2016 - Springer
The main goal of works described in the paper is to test and select algorithms to be
implemented in the 'SM4Public'security system for public spaces. The paper describes the …

A hybrid thermal-visible fusion for outdoor human detection

EM Zaihidee, KH Ghazali, J Ren… - Journal of …, 2018 - pureportal.strath.ac.uk
Multisensory image fusion can be used to improve the visual interpretability of an image for
further processing task. A hybrid thermal-visible image fusion is proposed in this paper to …

Multi-scale visualization based on sketch interaction for massive surveillance video data

Z Zhang, R Zuo, R Guo, Y Li, T Zhou, H Xue… - Personal and Ubiquitous …, 2021 - Springer
Large amount of surveillance video data needs effective and interactive methods to record
and utilize. Traditional methods mainly focus on low-level analysis of surveillance video data …

Application of cascades of classifiers in the vehicle detection scenario for the 'SM4Public'system

D Frejlichowski, K Gościewska, A Nowosielski… - … Data Engineering and …, 2015 - Springer
In the paper, the use of cascading approaches for vehicle classification in static images is
described. The problem concerns the selection of algorithms to be implemented in the …