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Ioannis Saradopoulos, Ilyas Potamitis, Antonios I. Konstantaras, Panagiotis Eliopoulos, Stavros Ntalampiras and Iraklis Rigakis
This study describes the development of an image-based insect trap diverging from the plug-in camera insect trap paradigm in that (a) it does not require manual annotation of images to learn how to count targeted pests, and (b) it self-disposes the captu...
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Xingguo Zhang, Yinping Sun, Qize Li, Xiaodi Li and Xinyu Shi
Aiming at the problem that the existing crowd counting methods cannot achieve accurate crowd counting and map visualization in a large scene, a crowd density estimation and mapping method based on surveillance video and GIS (CDEM-M) is proposed. Firstly,...
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Hossein Shahverdi, Mohammad Nabati, Parisa Fard Moshiri, Reza Asvadi and Seyed Ali Ghorashi
Human Activity Recognition (HAR) has been a popular area of research in the Internet of Things (IoT) and Human?Computer Interaction (HCI) over the past decade. The objective of this field is to detect human activities through numeric or visual representa...
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Jean-François Determe, Sophia Azzagnuni, François Horlin and Philippe De Doncker
Research has shown that counting WiFi packets called probe requests (PRs) implicitly provides a proxy for the number of people in an area. In this paper, we discuss a crowd counting system involving WiFi sensors detecting PRs over the air, then extractin...
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Mario Milicevic, Vedran Batos, Adriana Lipovac and Zeljka Car
Deep regression models are widely employed to solve computer vision tasks, such as human age or pose estimation, crowd counting, object detection, etc. Another possible area of application, which to our knowledge has not been systematically explored so f...
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Rafik Gouiaa, Moulay A. Akhloufi and Mozhdeh Shahbazi
Automatically estimating the number of people in unconstrained scenes is a crucial yet challenging task in different real-world applications, including video surveillance, public safety, urban planning, and traffic monitoring. In addition, methods develo...
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Pei Nie, Cien Fan, Lian Zou, Liqiong Chen and Xiaopeng Li
Crowd Crowd counting is not simply a matter of counting the numbers of people, but also requires that one obtains people?s spatial distribution in a picture. It is still a challenging task for crowded scenes, occlusion, and scale variation. This paper pr...
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