Single-image crowd counting: a comparative survey on deep learning-based approaches
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Multimedia Information Retrieval"
DOI: 10.1007/s13735-019-00181-y
Abstract: Crowd counting is an attracting computer vision problem. Solutions to crowd counting hold high adaptability to other counting problems such as traffic counting and cell counting. Numerous methods have been proposed for the problem. Deep… read more here.
Keywords: image crowd; deep learning; crowd counting; learning based ... See more keywords
Removing background interference for crowd counting via de-background detail convolutional network
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DOI: 10.1016/j.neucom.2018.12.047
Abstract: Abstract Crowd counting is a challenging vision task which aims to accurately estimate the crowd count from a single image. To this end, we propose a novel architecture called De-background Detail Convolutional Network (DDCN) to… read more here.
Keywords: crowd; background detail; interference; detail convolutional ... See more keywords
Atrous convolutions spatial pyramid network for crowd counting and density estimation
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DOI: 10.1016/j.neucom.2019.03.065
Abstract: Abstract Scale variation because of perspective distortion is still a challenge for crowd analysis. To address this problem, an atrous convolutions spatial pyramid network (ACSPNet) is proposed to perform crowd counts and density maps for… read more here.
Keywords: convolutions spatial; spatial pyramid; crowd counting; atrous convolutions ... See more keywords
A scale adaptive network for crowd counting
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DOI: 10.1016/j.neucom.2019.07.032
Abstract: Abstract Scale variations occur frequently and present a great challenge for crowd counting in practical applications. In this paper, we propose a scale adaptive network to address the scale variation problem for crowd counting. We… read more here.
Keywords: scale adaptive; adaptive network; crowd counting;
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs
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DOI: 10.1016/j.neucom.2019.08.009
Abstract: Crowd counting is a challenging task due to the large variations in crowd distributions. Previous methods tend to tackle the whole image with a single fixed structure, which is unable to handle diverse complicated scenes… read more here.
Keywords: adaptive capacity; capacity multi; network; crowd counting ... See more keywords
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting
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DOI: 10.1016/j.neucom.2021.01.112
Abstract: Crowd counting is an important vision task, which faces challenges on continuous scale variation within a given scene and huge density shift both within and across images. These challenges are typically addressed using multi-column structures… read more here.
Keywords: scale invariant; intralayer scale; crowd counting; interlayer ... See more keywords
PDANet: Pyramid density-aware attention based network for accurate crowd counting
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DOI: 10.1016/j.neucom.2021.04.037
Abstract: Abstract Crowd counting, i.e., estimating the number of people in crowded areas, has attracted much interest in the research community. Although many attempts have been reported, crowd counting remains an open real-world problem due to… read more here.
Keywords: pdanet; attention; density aware; density ... See more keywords
A point and density map hybrid network for crowd counting and localization based on unmanned aerial vehicles
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DOI: 10.1080/09540091.2022.2130878
Abstract: ABSTRACT Crowd counting and localisation are essential tasks in crowd analysis and are vital to ensure public safety. However, these tasks via UAV bring new obstacles compared with video surveillance (e.g. viewpoint and scale variations,… read more here.
Keywords: network; density; density map; crowd counting ... See more keywords
Wi-CaL: WiFi Sensing and Machine Learning Based Device-Free Crowd Counting and Localization
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DOI: 10.1109/access.2022.3155812
Abstract: Wireless sensing represented by WiFi channel state information (CSI) is now enabling various fields of applications such as person identification, human activity recognition, occupancy detection, localization, and crowd estimation these days. So far, those fields… read more here.
Keywords: crowd counting; localization; machine learning; state ... See more keywords
A Scale Aggregation and Spatial-Aware Network for Multi-View Crowd Counting
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DOI: 10.1109/access.2022.3213267
Abstract: Previous multi-view crowd counting methods underperform in maintaining scale consistency across views and overlook the negative effect of the complex background. To solve these problems, a scale aggregation and spatial-aware network for multi-view crowd counting… read more here.
Keywords: view; scale aggregation; crowd counting; multi view ... See more keywords
Crowd Counting and Localization Beyond Density Map
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DOI: 10.1109/access.2022.3224429
Abstract: Crowd analysis in general and counting in congested scenes, in particular, is an effective and vibrant research domain in computer vision due to its numerous applications. Understanding the risk analysis and safety aspects of crowd… read more here.
Keywords: density; counting localization; crowd; density map ... See more keywords