A cross-modal fusion based approach with scale-aware deep representation for RGB-D crowd counting and density estimation

S Zhang, H Li, W Kong - Expert Systems with Applications, 2021 - Elsevier
To simultaneously estimate the crowd count and the density map from the crowd images,
this paper presents a novel cross-modal fusion based approach for RGB-D crowd counting …

Deeply scale aggregation network for object counting

H Li, W Kong, S Zhang - Knowledge-Based Systems, 2020 - Elsevier
Object counting is a fundamental and essential task to build the high-level cognition for the
given scene in the computer vision field. For the common scale variant issue in the object …

An object counting network based on hierarchical context and feature fusion

S Zhang, H Li, W Kong, L Wang, X Niu - Journal of Visual Communication …, 2019 - Elsevier
Object counting is a challenging task in computer vision. In this paper, we propose an object
counting network based on hierarchical context and feature fusion called HFNet. HFNet …

Bilateral counting network for single-image object counting

H Li, S Zhang, W Kong - The Visual Computer, 2020 - Springer
This paper proposes a novel bilateral counting network to estimate the accurate and robust
counting result for single-image object counting task. The proposed network is composed of …

Effective crowd counting using multi-resolution context and image quality assessment-guided training

H Li, W Kong, S Zhang - Computer Vision and Image Understanding, 2020 - Elsevier
Crowd counting is the challenging task in the crowd scene analysis. To tackle the scale
variant issue and to calculate the more accurate result in this target task, this paper designs …

Crowd counting using a self‐attention multi‐scale cascaded network

H Li, S Zhang, W Kong - IET Computer Vision, 2019 - Wiley Online Library
Recent developments of crowd analysis and behaviour prediction have attracted much
attention. Crowd counting, as the essential and challenging task in crowd analysis, is riddled …

[PDF][PDF] An AI-based web surveillance system using raspberry Pi

PV Luu, J Weed, S Rodriguez… - Journal of Advances in …, 2019 - tafpublications.com
Security has always been a major concern for homes, businesses, and organizations. With
several surveillance systems offered today one can keep a place secured and monitored …

[PDF][PDF] Human Action Recognition from Digital Videos Based on Deep Learning Methods

C Liang - 2022 - cerv.aut.ac.nz
Surveillance today is widely used in public safety and security. Additionally, more and more
people have their own smartphones, the advancement has led to a large amount of video …

A Method of Effective Background Estimation for Video Sequences with Dense Moving Objects

H Zhu, NE Mastorakis… - 2015 Second International …, 2015 - ieeexplore.ieee.org
A method is proposed to estimate the background in video sequences with dense moving
objects. The velocity field is estimated by optical flow to determine the image areas occupied …

Arquitetura baseada em multiagentes georreferenciados para Sistemas de Vigilância

SMSB Onofre - 2017 - search.proquest.com
Desde sempre houve uma preocupação das pessoas com a segurança, quer com a sua
vida, quer com a dos seus bens. Esta preocupação, levou a que ao longo do tempo fossem …