4.6 Review

Convolutional-Neural Network-Based Image Crowd Counting: Review, Categorization, Analysis, and Performance Evaluation

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Crowd density estimation based on classification activation map and patch density level

Liping Zhu et al.

NEURAL COMPUTING & APPLICATIONS (2020)

Article Engineering, Electrical & Electronic

People Counting in Dense Crowd Images Using Sparse Head Detections

Mamoona Birkhez Shami et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2019)

Article Computer Science, Software Engineering

Sharpness fields in point clouds using deep learning

Prashant Raina et al.

COMPUTERS & GRAPHICS-UK (2019)

Article Computer Science, Artificial Intelligence

Divide and Count: Generic Object Counting by Image Divisions

Tobias Stahl et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)

Article Computer Science, Artificial Intelligence

Multi-resolution attention convolutional neural network for crowd counting

Youmei Zhang et al.

NEUROCOMPUTING (2019)

Article Computer Science, Artificial Intelligence

Depth Information Guided Crowd Counting for complex crowd scenes

Mingliang Xu et al.

PATTERN RECOGNITION LETTERS (2019)

Article Environmental Sciences

Remote Sensing Image Scene Classification Using CNN-CapsNet

Wei Zhang et al.

REMOTE SENSING (2019)

Article Neurosciences

REMODEL: Rethinking Deep CNN Models to Detect and Count on a NeuroSynaptic System

Rohit Shukla et al.

FRONTIERS IN NEUROSCIENCE (2019)

Article Computer Science, Artificial Intelligence

Getting to know low-light images with the Exclusively Dark dataset

Yuen Peng Loh et al.

COMPUTER VISION AND IMAGE UNDERSTANDING (2019)

Review Biochemistry & Molecular Biology

State-of-the-art review on deep learning in medical imaging

Mainak Biswas et al.

FRONTIERS IN BIOSCIENCE-LANDMARK (2019)

Article Engineering, Electrical & Electronic

Crowd Counting via Weighted VLAD on a Dense Attribute Feature Map

Biyun Sheng et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2018)

Article Computer Science, Artificial Intelligence

Skip-connection convolutional neural network for still image crowd counting

Luyang Wang et al.

APPLIED INTELLIGENCE (2018)

Article Computer Science, Artificial Intelligence

Body Structure Aware Deep Crowd Counting

Siyu Huang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)

Article Automation & Control Systems

Multiscale Multitask Deep NetVLAD for Crowd Counting

Zenglin Shi et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Article Computer Science, Artificial Intelligence

Auxiliary learning for crowd counting via count-net

Youmei Zhang et al.

NEUROCOMPUTING (2018)

Article Computer Science, Artificial Intelligence

A survey of recent advances in CNN-based single image crowd counting and density estimation

Vishwanath A. Sindagi et al.

PATTERN RECOGNITION LETTERS (2018)

Article Environmental Sciences

Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning

Benjamin Kellenberger et al.

REMOTE SENSING OF ENVIRONMENT (2018)

Article Engineering, Electrical & Electronic

Counting challenging crowds robustly using a multi-column multi-task convolutional neural network

Biao Yang et al.

SIGNAL PROCESSING-IMAGE COMMUNICATION (2018)

Article Engineering, Biomedical

Microscopy cell counting and detection with fully convolutional regression networks

Weidi Xie et al.

COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION (2018)

Article Multidisciplinary Sciences

Dermatologist-level classification of skin cancer with deep neural networks

Andre Esteva et al.

NATURE (2017)

Article Chemistry, Analytical

Deep Count: Fruit Counting Based on Deep Simulated Learning

Maryam Rahnemoonfar et al.

SENSORS (2017)

Article Engineering, Electrical & Electronic

Learning Motion Features for Example-Based Finger Motion Estimation for Virtual Characters

Christos Mousas et al.

3D RESEARCH (2017)

Article Computer Science, Artificial Intelligence

Image Crowd Counting Using Convolutional Neural Network and Markov Random Field

Kang Han et al.

JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS (2017)

Article Computer Science, Information Systems

Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset

Cong Zhang et al.

IEEE TRANSACTIONS ON MULTIMEDIA (2016)

Article Computer Science, Information Systems

Dense crowd counting from still images with convolutional neural networks

Yaocong Hu et al.

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2016)

Article Computer Science, Artificial Intelligence

Advances and trends in visual crowd analysis: A systematic survey and evaluation of crowd modelling techniques

M. Sami Zitouni et al.

NEUROCOMPUTING (2016)

Article Multidisciplinary Sciences

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

Geert Litjens et al.

SCIENTIFIC REPORTS (2016)

Article Computer Science, Artificial Intelligence

An evaluation of crowd counting methods, features and regression models

David Ryan et al.

COMPUTER VISION AND IMAGE UNDERSTANDING (2015)

Article Automation & Control Systems

Fast crowd density estimation with convolutional neural networks

Min Fu et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)

Article Computer Science, Artificial Intelligence

Deep Convolutional Neural Networks for Large-scale Speech Tasks

Tara N. Sainath et al.

NEURAL NETWORKS (2015)

Article Engineering, Civil

Traffic Flow Prediction With Big Data: A Deep Learning Approach

Yisheng Lv et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents

Bolei Zhou et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)

Article Computer Science, Artificial Intelligence

Recognizing human group action by layered model with multiple cues

Zhongwei Cheng et al.

NEUROCOMPUTING (2014)

Article Radiology, Nuclear Medicine & Medical Imaging

Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features

Haibo Wang et al.

JOURNAL OF MEDICAL IMAGING (2014)

Article Computer Science, Hardware & Architecture

An automatic computer-aided diagnosis system for liver tumours on computed tomography images

S. S. Kumar et al.

COMPUTERS & ELECTRICAL ENGINEERING (2013)

Article Computer Science, Artificial Intelligence

Pedestrian Detection: An Evaluation of the State of the Art

Piotr Dollar et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)

Review Public, Environmental & Occupational Health

Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples

Maged N. Kamel Boulos et al.

INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS (2011)

Article Computer Science, Artificial Intelligence

Object Detection with Discriminatively Trained Part-Based Models

Pedro F. Felzenszwalb et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2010)

Article Computer Science, Software Engineering

A survey of methods for image annotation

Allan Hanbury

JOURNAL OF VISUAL LANGUAGES AND COMPUTING (2008)

Article Computer Science, Artificial Intelligence

Crowd analysis: a survey

Beibei Zhan et al.

MACHINE VISION AND APPLICATIONS (2008)

Article Engineering, Electrical & Electronic

Graphical model architectures for speech recognition

JA Bilmes et al.

IEEE SIGNAL PROCESSING MAGAZINE (2005)

Article Computer Science, Artificial Intelligence

A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine

LJ Cao et al.

NEUROCOMPUTING (2003)

Article Computer Science, Artificial Intelligence

Laplacian eigenmaps for dimensionality reduction and data representation

M Belkin et al.

NEURAL COMPUTATION (2003)

Article Computer Science, Cybernetics

Estimation of number of people in crowded scenes using perspective transformation

SF Lin et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS (2001)

Article Multidisciplinary Sciences

Nonlinear dimensionality reduction by locally linear embedding

ST Roweis et al.

SCIENCE (2000)

Article Multidisciplinary Sciences

A global geometric framework for nonlinear dimensionality reduction

JB Tenenbaum et al.

SCIENCE (2000)