16.7.5.2 Surveillance Systems, Applied to Retail Business, Shoppers, Shopping

Video Mining,
2000
WWW Link. Vendor, Surveillance. Primary market is market analysis (i.e. tracking shoppers in a store to analyze shopping patterns).

Conrad, G.L.[Gary L.], Denenberg, B.A.[Byron A.], Kramerich, G.L.[George L.],
Video traffic monitor for retail establishments and the like,
US_Patent5,465,115, Nov 7, 1995
WWW Link. BibRef 9511

Popa, M.C.[Mirela C.], Rothkrantz, L.J.M.[Leon J.M.], Shan, C.F.[Cai-Feng], Gritti, T.[Tommaso], Wiggers, P.,
Semantic assessment of shopping behavior using trajectories, shopping related actions, and context information,
PRL(34), No. 7, 1 May 2013, pp. 809-819.
Elsevier DOI 1303
BibRef
Earlier: A1, A4, A2, A3, A5:
Detecting Customers' Buying Events on a Real-Life Database,
CAIP11(I: 17-25).
Springer DOI 1109
Shopping behavior; Semantic analysis; Trajectory analysis; Action recognition; Hidden Markov Models BibRef

Popa, M.C., Rothkrantz, L.J.M., Shan, C., Wiggers, P.,
Assessment of customers' level of interest,
ICIP12(41-44).
IEEE DOI 1302
BibRef

Popa, M.C., Rothkrantz, L.J.M., Wiggers, P., Shan, C.,
Shopping behavior recognition using a language modeling analogy,
PRL(34), No. 15, 2013, pp. 1879-1889.
Elsevier DOI 1309
Shopping behavior BibRef

Ahn, H.I.[Hyung-Il], Picard, R.W.,
Measuring Affective-Cognitive Experience and Predicting Market Success,
AffCom(5), No. 2, April 2014, pp. 173-186.
IEEE DOI 1411
cognition BibRef

Popa, M.C.[Mirela Carmia],
Multimodal Assessment of Shopping Behavior,
ELCVIA(14), No. 3, 2015, pp. xx-yy.
DOI Link 1601
Thesis summary. BibRef

Liu, S.[Song], Li, W.Q.[Wan-Qing], Davis, S.[Stephen], Ritz, C.[Christian], Tian, H.[Hongda],
Planogram Compliance Checking Based on Detection of Recurring Patterns,
MultMedMag(23), No. 2, April 2016, pp. 54-63.
IEEE DOI 1605
Companies. Retail store layout analysis. BibRef

Pereira, E.M.[Eduardo Marques], Cardoso, J.S.[Jaime S.], Morla, R.[Ricardo],
Long-range trajectories from global and local motion representations,
JVCIR(40, Part A), No. 1, 2016, pp. 265-287.
Elsevier DOI 1609
BibRef
Earlier:
Motion Flow Tracking in Unconstrained Videos for Retail Scenario,
IbPRIA13(340-349).
Springer DOI 1307
Long trajectories BibRef

Quintana, M., Menendez, J.M., Alvarez, F., Lopez, J.P.,
Improving retail efficiency through sensing technologies: A survey,
PRL(81), No. 1, 2016, pp. 3-10.
Elsevier DOI 1609
Survey, Retail. Intelligent retail BibRef

Merad, D.[Djamal], Aziz, K.E.[Kheir-Eddine], Iguernaissi, R.[Rabah], Fertil, B.[Bernard], Drap, P.[Pierre],
Tracking multiple persons under partial and global occlusions: Application to customers' behavior analysis,
PRL(81), No. 1, 2016, pp. 11-20.
Elsevier DOI 1609
Multiple-people tracking
See also People's Re-identification Across Multiple Non-overlapping Cameras by Local Discriminative Patch Matching. BibRef

Merad, D.[Djamal], Drap, P.[Pierre], Lufimpu-Luviya, Y.[Yannick], Iguernaissi, R.[Rabah], Fertil, B.[Bernard],
Purchase behavior analysis through gaze and gesture observation,
PRL(81), No. 1, 2016, pp. 21-29.
Elsevier DOI 1609
Purchase behavior BibRef

Sturari, M.[Mirco], Liciotti, D.[Daniele], Pierdicca, R.[Roberto], Frontoni, E.[Emanuele], Mancini, A.[Adriano], Contigiani, M.[Marco], Zingaretti, P.[Primo],
Robust and affordable retail customer profiling by vision and radio beacon sensor fusion,
PRL(81), No. 1, 2016, pp. 30-40.
Elsevier DOI 1609
Sensor fusion BibRef

Ananthanarayanan, G., Bahl, P., Bodík, P., Chintalapudi, K., Philipose, M., Ravindranath, L., Sinha, S.,
Real-Time Video Analytics: The Killer App for Edge Computing,
Computer(50), No. 10, 2017, pp. 58-67.
IEEE DOI 1710
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, BibRef

Ji, C.B.[Cui-Bin], Duan, G.J.[Gui-Jiang], Ma, H.Y.[Han-Yong], Zhang, L.[Long], Xu, H.Y.[Huan-Yun],
Modeling of image, video and text fusion quality data packet system for aerospace complex products based on business intelligence,
JVCIR(59), 2019, pp. 439-447.
Elsevier DOI 1903
Balanced scorecard, Business intelligence, Data warehouse, Quality data package, Polymorphic data, Complex product BibRef

Santra, B.[Bikash], Mukherjee, D.P.[Dipti Prasad],
A comprehensive survey on computer vision based approaches for automatic identification of products in retail store,
IVC(86), 2019, pp. 45-63.
Elsevier DOI 1906
Survey, Product detection, Product recognition, Planogram compliance, Multiple object detection, Out-of-stock detection BibRef

Adan, A.[Antonio], 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 BibRef

Kirkpatrick, K.[Keith],
Tracking Shoppers,
CACM(63), No. 1, January 2020, pp. 19-21.
DOI Link 2001
BibRef

Schrijvers, R.[Robin], Puttemans, S.[Steven], Callemein, T., Goedemé, T.[Toon],
Real-time Embedded Person Detection and Tracking for Shopping Behaviour Analysis,
ACIVS20(541-553).
Springer DOI 2003
BibRef

Cao, Z.H.[Zhi-Hao], Mu, S.M.[Shao-Min], Dong, M.P.[Meng-Ping],
Two-attribute e-commerce image classification based on a convolutional neural network,
VC(36), No. 8, August 2020, pp. 1619-1634.
WWW Link. 2007
BibRef

Wang, K.[Kai], Zhang, T.T.[Tian-Tian], Xue, T.Q.[Tian-Qiao], Lu, Y.[Yu], Na, S.G.[Sang-Gyun],
E-commerce personalized recommendation analysis by deeply-learned clustering,
JVCIR(71), 2020, pp. 102735.
Elsevier DOI 2009
Clustering algorithm, Deep learning, Recommendation system BibRef

Santra, B.[Bikash], Shaw, A.K.[Avishek Kumar], Mukherjee, D.P.[Dipti Prasad],
Graph-based non-maximal suppression for detecting products on the rack,
PRL(140), 2020, pp. 73-80.
Elsevier DOI 2012
Detection, Grocery products, Non maximal suppression, Directed acyclic graph, R-CNN BibRef

Pei, T.[Tao], Liu, Y.[Yaxi], Shu, H.[Hua], Ou, Y.[Yang], Wang, M.[Meng], Xu, L.M.[Lian-Ming],
What Influences Customer Flows in Shopping Malls: Perspective from Indoor Positioning Data,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Spera, E., Furnari, A., Battiato, S., Farinella, G.M.,
EgoCart: A Benchmark Dataset for Large-Scale Indoor Image-Based Localization in Retail Stores,
CirSysVideo(31), No. 4, April 2021, pp. 1253-1267.
IEEE DOI 2104
Cameras, Pose estimation, Robot vision systems, Benchmark testing, Task analysis, shopping cart localization BibRef

Ciocca, G.[Gianluigi], Napoletano, P.[Paolo], Locatelli, S.G.[Simone Giuseppe],
Multi-task Learning for Supervised and Unsupervised Classification of Grocery Images,
VTIUR20(325-338).
Springer DOI 2103
BibRef

Ciocca, G.[Gianluigi], Napoletano, P.[Paolo], Locatelli, S.G.[Simone Giuseppe],
Iconic-based Retrieval of Grocery Images via Siamese Neural Network,
VTIUR20(269-281).
Springer DOI 2103
BibRef

Wen, J.[Jiahao], Guillen, L.[Luis], Amrizal, M.A.[Muhammad Alfian], Abe, T.[Toru], Suganuma, T.[Takuo],
An Event-based Hierarchical Method for Customer Activity Recognition in Retail Stores,
ISVC20(I:263-275).
Springer DOI 2103
BibRef

Sciucca, L.D.[Laura Della], Manco, D.[Davide], Contigiani, M.[Marco], Pietrini, R.[Rocco], di Bello, L.[Luigi], Placidi, V.[Valerio],
Shoppers Detection Analysis in an Intelligent Retail Environment,
DEEPRETAIL20(534-546).
Springer DOI 2103
BibRef

Marinelli, L.[Luca], Paolanti, M.[Marina], Nardi, L.[Lorenzo], Gabellini, P.[Patrizia], Frontoni, E.[Emanuele], Gregori, G.L.[Gian Luca],
Data-driven Knowledge Discovery in Retail: Evidences from the Vending Machine's Industry,
DEEPRETAIL20(508-520).
Springer DOI 2103
BibRef

Milella, A.[Annalisa], Marani, R.[Roberto], Petitti, A.[Antonio], Cicirelli, G.[Grazia], d'Orazio, T.[Tiziana],
3d Vision-based Shelf Monitoring System for Intelligent Retail,
DEEPRETAIL20(447-459).
Springer DOI 2103
BibRef

Bruno, A.[Alessandro], Lancette, S.[Stéphane], Zhang, J.L.[Jing-Lu], Moore, M.[Morgan], Ward, V.P.[Ville P.], Chang, J.[Jian],
A Saliency-based Technique for Advertisement Layout Optimisation to Predict Customers' Behaviour,
DEEPRETAIL20(495-507).
Springer DOI 2103
BibRef

Hong, Y., 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 Coronavirus,
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], Zhang, C.Z.[Chong-Zhi], Yu, H.[Hang],
Bias-based Universal Adversarial Patch Attack for Automatic Check-out,
ECCV20(XI:395-410).
Springer DOI 2011
BibRef

Nguyen, M.[Minh], Le, H.[Huy], Yan, W.Q.[Wei Qi],
Red-green-blue Augmented Reality Tags for Retail Stores,
ACIVS20(467-479).
Springer DOI 2003
BibRef

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 An Online Shopping Website,
SMPR19(975-980).
DOI Link 1912
BibRef

Zhao, L., Yao, J., Du, H., Zhao, J., Zhang, R.,
A Unified Object Detection Framework for Intelligent Retail Container Commodities,
ICIP19(3891-3895)
IEEE DOI 1910
Intelligent retail, object detection, non-maximum suppression BibRef

de Souza Junior, N.F.[Nelson Forte], da Silva, L.A.[Leandro Augusto], Marengoni, M.[Mauricio],
Product Recommendation Through Real-Time Object Recognition on Image Classifiers,
ICIAR19(II:40-51).
Springer DOI 1909
BibRef

Allegrino, F.[Fioravante], Gabellini, P.[Patrizia], di Bello, L.[Luigi], Contigiani, M.[Marco], Placidi, V.[Valerio],
The Vending Shopper Science Lab: Deep Learning for Consumer Research,
NTIAP19(307-317).
Springer DOI 1909
BibRef

Paolanti, M.[Marina], Pierdicca, R.[Roberto], Martini, M.[Massimo], di Stefano, F.[Francesco], Morbidoni, C.[Christian], Mancini, A.[Adriano], Malinverni, E.S.[Eva Savina], Frontoni, E.[Emanuele], Zingaretti, P.[Primo],
Semantic 3D Object Maps for Everyday Robotic Retail Inspection,
NTIAP19(263-274).
Springer DOI 1909
BibRef

Porta, S.L.[Salvatore La], Marconi, F.[Fabrizio], Lazzini, I.[Isabella],
Collecting Retail Data Using a Deep Learning Identification Experience,
NTIAP19(275-284).
Springer DOI 1909
BibRef

Gabellini, P.[Patrizia], d'Aloisio, M.[Mauro], Fabiani, M.[Matteo], Placidi, V.[Valerio],
A Large Scale Trajectory Dataset for Shopper Behaviour Understanding,
NTIAP19(285-295).
Springer DOI 1909
BibRef

Klasson, M., Zhang, C., Kjellström, H.,
A Hierarchical Grocery Store Image Dataset With Visual and Semantic Labels,
WACV19(491-500)
IEEE DOI 1904
convolutional neural nets, electronic commerce, handicapped aids, image classification, learning (artificial intelligence), Computer vision BibRef

Gonzalves Vieira, M., Moreira, J.,
Classification of E-Commerce-Related Images Using Hierarchical Classification with Deep Neural Networks,
WVC17(114-119)
IEEE DOI 1804
electronic commerce, image classification, neural nets, Hierarchical Classification, Hierarchical Classifier, image classification BibRef

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).
Springer DOI 1711
Track how much is there, sales, etc. BibRef

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).
Springer DOI 1711
BibRef

Yamamoto, J., Inoue, K., Yoshioka, M.,
Investigation of Customer Behavior Analysis Based on Top-View Depth Camera,
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 BibRef

Song, Y., Xue, Y., Li, C., Zhao, X., Liu, S., Zhuo, X., Zhang, K., Yan, B., Ning, X., Wang, Y., 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 BibRef

Yashima, T.[Takuya], Okazaki, N.[Naoaki], Inui, K.[Kentaro], Yamaguchi, K.[Kota], Okatani, T.[Takayuki],
Learning to Describe E-Commerce Images from Noisy Online Data,
ACCV16(V: 85-100).
Springer DOI 1704
BibRef

Santarcangelo, V.[Vito], Farinella, G.M.[Giovanni Maria], Battiato, S.[Sebastiano],
Egocentric Vision for Visual Market Basket Analysis,
Egocentric16(I: 518-531).
Springer DOI 1611
BibRef

Saran, A.[Anurag], Hassan, E.[Ehtesham], Maurya, A.K.[Avinash Kumar],
Robust visual analysis for planogram compliance problem,
MVA15(576-579)
IEEE DOI 1507
Accuracy. Retail store shelf inspection. BibRef

Aryafar, K.[Kamelia], Lynch, C.[Corey], Attenberg, J.[Josh],
Exploring User Behaviour on Etsy through Dominant Colors,
ICPR14(1437-1442)
IEEE DOI 1412
Entropy BibRef

Ravnik, R.[Robert], Solina, F.[Franc], Zabkar, V.[Vesna],
Modelling In-Store Consumer Behaviour Using Machine Learning and Digital Signage Audience Measurement Data,
VAAM14(123-133).
Springer DOI 1411
BibRef

Testori, M.[Matteo],
The Applications of Video Analytics in Media Planning, Trade and Shopper Marketing,
VAAM14(3-20).
Springer DOI 1411
BibRef

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
BibRef

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 BibRef

Carullo, M.[Mariarosaria], Cavaliere, G.[Gianluca],
Stock Control through Video Surveillance in Logistics,
CIAP13(II:740-748).
Springer DOI 1309
BibRef

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
BibRef

Trinh, H.[Hoang], Fan, Q.F.[Quan-Fu], Gabbur, P.[Prasad], Pankanti, S.[Sharath],
Hand tracking by binary quadratic programming and its application to retail activity recognition,
CVPR12(1902-1909).
IEEE DOI 1208
BibRef

Trinh, H.[Hoang], Pankanti, S.[Sharath], Fan, Q.F.[Quan-Fu],
Multimodal ranking for non-compliance detection in retail surveillance,
WACV12(241-246).
IEEE DOI 1203
BibRef

Bobbitt, R.[Russell], Connell, J.[Jonathan], 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. BibRef

Pan, J.Y.[Ji-Yan], Fan, Q.F.[Quan-Fu], Pankanti, S.[Sharath], Trinh, H.[Hoang], Gabbur, P.[Prasad], Miyazawa, S.[Sachiko],
Soft margin keyframe comparison: Enhancing precision of fraud detection in retail surveillance,
WACV11(549-556).
IEEE DOI 1101
BibRef

Park, U.S.[Un-Sang], Otto, C.A., Pankanti, S.,
Cart Auditor: A Compliance and Training Tool for Cashiers at Checkout,
PSIVT10(151-155).
IEEE DOI 1011
BibRef

Onishi, M.[Masaki], Yoda, I.[Ikushi],
Visualization of Customer Flow in an Office Complex over a Long Period,
ICPR10(1747-1750).
IEEE DOI 1008
BibRef

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
BibRef

Leykin, A.[Alex], Tuceryan, M.[Mihran],
Detecting shopper groups in video sequences,
AVSBS07(417-422).
IEEE DOI 0709
BibRef

Zhang, Z.[Zhong], Scanlon, A.[Andrew], Yin, W.H.[Wei-Hong], Yu, L.[Li], Venetianer, P.L.[Peter L.],
Video Surveillance using a Multi-Camera Tracking and Fusion System,
M2SFA208(xx-yy). 0810
BibRef

Venetianer, P.L., Zhang, Z., Scanlon, A., Hu, Y., Lipton, A.J.,
Video verification of point of sale transactions,
AVSBS07(411-416).
IEEE DOI 0709
BibRef

Zimmerman, T.G.[Thomas G.],
Tracking Shopping Carts Using Mobile Cameras Viewing Ceiling-Mounted Retro-Reflective Bar Codes,
CVS06(36).
IEEE DOI 0602
BibRef

Mustafa, A., Sethi, I.,
Detecting retail events using moving edges,
AVSBS05(626-631).
IEEE DOI 0602
BibRef

Haritaoglu, I., Flickner, M.D.,
Detection and Tracking of Shopping Groups in Stores,
CVPR01(I:431-438).
IEEE DOI 0110
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Surveillance Systems, Applied to Fire and Flame Detection .