3D human pose machines with self-supervised learning

K Wang, L Lin, C Jiang, C Qian… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Driven by recent computer vision and robotic applications, recovering 3D human poses has
become increasingly important and attracted growing interests. In fact, completing this task is …

Recurrent 3d pose sequence machines

M Lin, L Lin, X Liang, K Wang… - Proceedings of the …, 2017 - openaccess.thecvf.com
Abstract 3D human articulated pose recovery from monocular image sequences is very
challenging due to the diverse appearances, viewpoints, occlusions, and also the human 3D …

Movement Human Actions Recognition Based on Machine Learning.

H Xu, L Li, M Fang, F Zhang - International Journal of Online …, 2018 - search.ebscohost.com
In this paper, the main technologies of foreground detection, feature description and
extraction, movement behavior classification and recognition were introduced. Based on …

[HTML][HTML] Pedestrian traffic light control with crosswalk FMCW radar and group tracking algorithm

P Nimac, A Krpič, B Batagelj, A Gams - Sensors, 2022 - mdpi.com
The increased mobility requirements of modern lifestyles put more stress on existing traffic
infrastructure, which causes reduced traffic flow, especially in peak traffic hours. This calls for …

Digital video intrusion intelligent detection method based on narrowband Internet of Things and its application

A Yang, H Liu, Y Chen, C Zhang, K Yang - Image and Vision Computing, 2020 - Elsevier
This paper proposes a digital video intrusion detection method based on Narrow Band
Internet of Things (NB-IoT), and establishes a digital video intrusion detection system based …

Student Perception Study on Smart Campus: A Case Study on Higher Education Institution

MF Mustafa, MRM Isa, UFA Rauf… - Malaysian Journal of …, 2021 - adab.um.edu.my
With the current development of science and technology, big data technology, the Internet of
Things (IoT), cloud computing, and mobile Internet in Malaysia, it is time for smart campuses …

Experiences of accessing CCTV data: The urban topologies of subject access requests

K Spiller - Urban Studies, 2016 - journals.sagepub.com
In this paper, I argue that careful attention needs to be paid to the handling of urban CCTV
digital data. Since the early 1990s, CCTV has left an indelible mark on UK cities, and …

[HTML][HTML] Hybrid no-reference quality assessment for surveillance images

Z Ye, X Ye, Z Zhao - Information, 2022 - mdpi.com
Intelligent video surveillance (IVS) technology is widely used in various security systems.
However, quality degradation in surveillance images (SIs) may affect its performance on …

Incremental multiple instance outlier detection

Z Wang, Z Zhao, S Weng, C Zhang - Neural Computing and Applications, 2015 - Springer
I-MLOF algorithm is an extension of local outlier factor (LOF) algorithm in multiple instance
(MI) setting. The task of I-MLOF is to identify MI outlier. However, I-MLOF algorithm works in …

Moving object detection based on adaptive loci frame difference method

Z Bai, Q Gao, X Yu - 2019 IEEE international conference on …, 2019 - ieeexplore.ieee.org
Criminal investigation videos often have the characteristics of complex video background,
long distances of moving targets, and fast or slow-motion speeds, which have a great impact …