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Earlier: A1, A4, A2, A3, A5:
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Springer DOI
1109
Shopping behavior; Semantic analysis; Trajectory analysis; Action
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Popa, M.C.,
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Popa, M.C.,
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Shopping behavior
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1411
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Companies. Retail store layout analysis.
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Earlier:
Motion Flow Tracking in Unconstrained Videos for Retail Scenario,
IbPRIA13(340-349).
Springer DOI
1307
Long trajectories
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Quintana, M.,
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Survey, Retail. Intelligent retail
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Multiple-people tracking
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Purchase behavior
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Sensor fusion
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cloud computing, software architecture, video signal processing,
edge computing, geographically distributed architecture,
real-time video analytics, Automobiles, Bandwidth, Cameras,
Cloud computing, Streaming media, Surveillance, Video analytics,
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Ji, C.B.[Cui-Bin],
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Balanced scorecard, Business intelligence, Data warehouse,
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Survey, Product detection, Product recognition,
Planogram compliance, Multiple object detection, Out-of-stock detection
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de la Rubia, D.[David],
Reconstruction of As-is Semantic 3D Models of Unorganised Storehouses,
3DV19(367-375)
IEEE DOI
1911
Image color analysis, Solid modeling,
Semantics, IEEE merchandise, Classification algorithms, Monitoring, Object recognition
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Kirkpatrick, K.[Keith],
Tracking Shoppers,
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Real-time Embedded Person Detection and Tracking for Shopping Behaviour
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JVCIR(71), 2020, pp. 102735.
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Clustering algorithm, Deep learning, Recommendation system
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Detection, Grocery products, Non maximal suppression,
Directed acyclic graph, R-CNN
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Liu, Y.[Yaxi],
Shu, H.[Hua],
Ou, Y.[Yang],
Wang, M.[Meng],
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Furnari, A.,
Battiato, S.,
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EgoCart: A Benchmark Dataset for Large-Scale Indoor Image-Based
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2104
Cameras, Pose estimation, Robot vision systems,
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shopping cart localization
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ISVC20(I:263-275).
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Pietrini, R.[Rocco],
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Placidi, V.[Valerio],
Shoppers Detection Analysis in an Intelligent Retail Environment,
DEEPRETAIL20(534-546).
Springer DOI
2103
BibRef
Marinelli, L.[Luca],
Paolanti, M.[Marina],
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Gabellini, P.[Patrizia],
Frontoni, E.[Emanuele],
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Data-driven Knowledge Discovery in Retail: Evidences from the Vending
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DEEPRETAIL20(508-520).
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2103
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3d Vision-based Shelf Monitoring System for Intelligent Retail,
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2103
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A Saliency-based Technique for Advertisement Layout Optimisation to
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DEEPRETAIL20(495-507).
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2103
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Shiqiang, G.,
Application Research of Interactive Packaging Design Based on
Computer Graphics Technology and GIS Model,
CVIDL20(550-553)
IEEE DOI
2102
data mining, data visualisation, design engineering,
geographic information systems, image representation,
GIS model
BibRef
Han, W.,
Huang, Z.,
kuerban, A.,
Yan, M.,
Fu, H.,
A Mask Detection Method for Shoppers Under the Threat of COVID-19
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CVIDL20(442-447)
IEEE DOI
2102
convolutional neural nets, feature extraction,
image classification, image representation,
spatial separable convolution
BibRef
Liu, A.[Aishan],
Wang, J.K.[Jia-Kai],
Liu, X.L.[Xiang-Long],
Cao, B.[Bowen],
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Yu, H.[Hang],
Bias-based Universal Adversarial Patch Attack for Automatic Check-out,
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2011
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Red-green-blue Augmented Reality Tags for Retail Stores,
ACIVS20(467-479).
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Shahriari Mehr, G.,
Delavar, M.R.,
Claramunt, C.,
Araabi, B.N.,
Dehaqani, M.R.A.,
Discover Points of Interest Based On Users' Internet Searches Through
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SMPR19(975-980).
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A Unified Object Detection Framework for Intelligent Retail Container
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ICIP19(3891-3895)
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Intelligent retail, object detection, non-maximum suppression
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The Vending Shopper Science Lab: Deep Learning for Consumer Research,
NTIAP19(307-317).
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1909
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Paolanti, M.[Marina],
Pierdicca, R.[Roberto],
Martini, M.[Massimo],
di Stefano, F.[Francesco],
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Malinverni, E.S.[Eva Savina],
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Zingaretti, P.[Primo],
Semantic 3D Object Maps for Everyday Robotic Retail Inspection,
NTIAP19(263-274).
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1909
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Porta, S.L.[Salvatore La],
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Lazzini, I.[Isabella],
Collecting Retail Data Using a Deep Learning Identification Experience,
NTIAP19(275-284).
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1909
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Gabellini, P.[Patrizia],
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A Large Scale Trajectory Dataset for Shopper Behaviour Understanding,
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1909
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Klasson, M.,
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Kjellström, H.,
A Hierarchical Grocery Store Image Dataset With Visual and Semantic
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WACV19(491-500)
IEEE DOI
1904
convolutional neural nets, electronic commerce, handicapped aids,
image classification, learning (artificial intelligence),
Computer vision
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Gonzalves Vieira, M.,
Moreira, J.,
Classification of E-Commerce-Related Images Using Hierarchical
Classification with Deep Neural Networks,
WVC17(114-119)
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1804
electronic commerce, image classification, neural nets,
Hierarchical Classification, Hierarchical Classifier,
image classification
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Torcinovich, A.[Alessandro],
Fratton, M.[Marco],
Pelillo, M.[Marcello],
Pravato, A.[Alberto],
Roncato, A.[Alessandro],
A Computer Vision System for Monitoring Ice-Cream Freezers,
CIAP17(II:333-342).
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1711
Track how much is there, sales, etc.
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Aksah, S.[Saliza],
Taslim, J.[Jamaliah],
Aziz, M.A.[Maslina Abdul],
Hamzah, P.[Paezah],
Manaf, N.A.[Norehan Abdul],
Nasruddin, Z.A.[Zan Azma],
Understanding the Atmospheric Cues Effects on Consumer Emotions:
A Case Study on Lazada Malaysia,
IVIC17(423-432).
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1711
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Yamamoto, J.,
Inoue, K.,
Yoshioka, M.,
Investigation of Customer Behavior Analysis Based on Top-View Depth
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HAAHDC17(67-74)
IEEE DOI
1609
behavioural sciences computing, cameras, computer vision,
consumer behaviour, feature extraction, support vector machines,
PSA based features, SVM, book store situation, computer vision,
customer behavior analysis, depth information,
human behavior analysis, pattern recognition,
pixel state analysis, support vector machines,
surveillance camera, top-view depth camera, Cameras,
Computer vision, Estimation, Feature extraction, Security,
Support vector machines, Surveillance
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Song, Y.,
Xue, Y.,
Li, C.,
Zhao, X.,
Liu, S.,
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Yan, B.,
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Feng, X.,
Online Cost Efficient Customer Recognition System for Retail
Analytics,
SoftBio17(9-16)
IEEE DOI
1609
cloud computing, computer vision, consumer behaviour,
feature extraction, image recognition,
learning (artificial intelligence), neural nets,
object detection, object tracking, purchasing,
retail data processing, age estimation, business strategy,
chain stores, change sales strategy, client management,
cloud computing resources, computer vision,
customer behavior data procurement, customer detection,
deep learning, feature extraction, fully automated system,
gender estimation, local computation resources,
online cost efficient customer recognition system,
purchase information collection,
real-time customer analytic system, retail business, Cameras,
Computational modeling, Estimation, Face, Feature extraction, Target, tracking
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Okazaki, N.[Naoaki],
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ACCV16(V: 85-100).
Springer DOI
1704
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Santarcangelo, V.[Vito],
Farinella, G.M.[Giovanni Maria],
Battiato, S.[Sebastiano],
Egocentric Vision for Visual Market Basket Analysis,
Egocentric16(I: 518-531).
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1611
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Saran, A.[Anurag],
Hassan, E.[Ehtesham],
Maurya, A.K.[Avinash Kumar],
Robust visual analysis for planogram compliance problem,
MVA15(576-579)
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1507
Accuracy. Retail store shelf inspection.
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Aryafar, K.[Kamelia],
Lynch, C.[Corey],
Attenberg, J.[Josh],
Exploring User Behaviour on Etsy through Dominant Colors,
ICPR14(1437-1442)
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1412
Entropy
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Ravnik, R.[Robert],
Solina, F.[Franc],
Zabkar, V.[Vesna],
Modelling In-Store Consumer Behaviour Using Machine Learning and
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VAAM14(123-133).
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1411
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Testori, M.[Matteo],
The Applications of Video Analytics in Media Planning, Trade and
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VAAM14(3-20).
Springer DOI
1411
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Mäkelä, S.M.[Satu-Marja],
Järvinen, S.[Sari],
Keränen, T.[Tommi],
Lindholm, M.[Mikko],
Vildjiounaite, E.[Elena],
Shopper Behaviour Analysis Based on 3D Situation Awareness Information,
VAAM14(134-145).
Springer DOI
1411
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Pane, C.[Carlo],
Gasparini, M.[Marco],
Prati, A.[Andrea],
Gualdi, G.[Giovanni],
Cucchiara, R.[Rita],
A people counting system for business analytics,
AVSS13(135-140)
IEEE DOI
1311
Accuracy
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Carullo, M.[Mariarosaria],
Cavaliere, G.[Gianluca],
Stock Control through Video Surveillance in Logistics,
CIAP13(II:740-748).
Springer DOI
1309
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Liciotti, D.[Daniele],
Contigiani, M.[Marco],
Frontoni, E.[Emanuele],
Mancini, A.[Adriano],
Zingaretti, P.[Primo],
Placidi, V.[Valerio],
Shopper Analytics: A Customer Activity Recognition System Using a
Distributed RGB-D Camera Network,
VAAM14(146-157).
Springer DOI
1411
BibRef
Frontoni, E.[Emanuele],
Raspa, P.[Paolo],
Mancini, A.[Adriano],
Zingaretti, P.[Primo],
Placidi, V.[Valerio],
Customers' Activity Recognition in Intelligent Retail Environments,
SBA13(509-516).
Springer DOI
1309
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Trinh, H.[Hoang],
Fan, Q.F.[Quan-Fu],
Gabbur, P.[Prasad],
Pankanti, S.[Sharath],
Hand tracking by binary quadratic programming and its application to
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CVPR12(1902-1909).
IEEE DOI
1208
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Trinh, H.[Hoang],
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Fan, Q.F.[Quan-Fu],
Multimodal ranking for non-compliance detection in retail surveillance,
WACV12(241-246).
IEEE DOI
1203
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Haas, N.[Norman],
Otto, C.[Charles],
Pankanti, S.[Sharath],
Payne, J.[Jason],
Visual item verification for fraud prevention in retail self-checkout,
WACV11(585-590).
IEEE DOI
1101
Self checkout systems. Augment weight with visual check.
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Pan, J.Y.[Ji-Yan],
Fan, Q.F.[Quan-Fu],
Pankanti, S.[Sharath],
Trinh, H.[Hoang],
Gabbur, P.[Prasad],
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Soft margin keyframe comparison: Enhancing precision of fraud detection
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WACV11(549-556).
IEEE DOI
1101
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Cart Auditor: A Compliance and Training Tool for Cashiers at Checkout,
PSIVT10(151-155).
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1011
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Yoda, I.[Ikushi],
Visualization of Customer Flow in an Office Complex over a Long Period,
ICPR10(1747-1750).
IEEE DOI
1008
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Senior, A.W.,
Brown, L.,
Hampapur, A.,
Shu, C.F.,
Zhai, Y.,
Feris, R.S.,
Tian, Y.L.,
Borger, S.,
Carlson, C.,
Video analytics for retail,
AVSBS07(423-428).
IEEE DOI
0709
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Tuceryan, M.[Mihran],
Detecting shopper groups in video sequences,
AVSBS07(417-422).
IEEE DOI
0709
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Zhang, Z.[Zhong],
Scanlon, A.[Andrew],
Yin, W.H.[Wei-Hong],
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Video Surveillance using a Multi-Camera Tracking and Fusion System,
M2SFA208(xx-yy).
0810
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Venetianer, P.L.,
Zhang, Z.,
Scanlon, A.,
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Lipton, A.J.,
Video verification of point of sale transactions,
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Zimmerman, T.G.[Thomas G.],
Tracking Shopping Carts Using Mobile Cameras Viewing Ceiling-Mounted
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CVS06(36).
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0602
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Mustafa, A.,
Sethi, I.,
Detecting retail events using moving edges,
AVSBS05(626-631).
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0602
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Haritaoglu, I.,
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Detection and Tracking of Shopping Groups in Stores,
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Surveillance Systems, Applied to Fire and Flame Detection .