Results 41 to 50 of about 40,421 (274)
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
In this paper, we develop deep spatio-temporal neural networks to sequentially count vehicles from low quality videos captured by city cameras (citycams).
Costeira, João P. +3 more
core +1 more source
Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach
We address the problem of detecting highly raised crowd density in situations such as indoor dance events. We propose a new method for estimating crowd density by anonymous, non-participatory, indoor Wi-Fi localization of smart phones.
Sonja Georgievska +7 more
doaj +1 more source
Scientific Exploration for Density Estimation and Crowd Counting of Crowded Scene
Abstract Crowd density estimation model is a typical concept which compute the counting of the people in the crowded image. There are many of research papers are written in this area to solve the different kind of real world problems. This paper shows the state of art and different types of framework proposed on density estimation and ...
Juginder Pal Singh +4 more
openaire +1 more source
Crowd Density Estimation by Using Attention Based Capsule Network and Multi-Column CNN
We propose a strategy that focuses on estimating the number of people in a crowd, one of the aims of crowd analysis, using static images or video images.
Merve Ayyuce Kizrak, Bulent Bolat
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
A Statistical Approach in Designing an RF-Based Human Crowd Density Estimation System
The study of human crowd density estimation (H-CDE) using radio frequency is limited due to the nature of wireless medium and the advancement of visual-based systems.
S. Y. Fadhlullah, Widad Ismail
doaj +1 more source
Foreground Segmentation-Based Density Grading Networks for Crowd Counting
Estimating object counts within a single image or video frame represents a challenging yet pivotal task in the field of computer vision. Its increasing significance arises from its versatile applications across various domains, including public safety ...
Zelong Liu +3 more
doaj +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Crowd Counting Through Walls Using WiFi
Counting the number of people inside a building, from outside and without entering the building, is crucial for many applications. In this paper, we are interested in counting the total number of people walking inside a building (or in general behind ...
Depatla, Saandeep, Mostofi, Yasamin
core +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source

