16.7.4.8.5 Human Activities, Tourist Traffic Flow

Chapter Contents (Back)
Crowds. Tourism.

Sacchi, C.[Claudio], Gera, G.[Gianluca], Marcenaro, L.[Lucio], Regazzoni, C.S.[Carlo S.],
Advanced image-processing tools for counting people in tourist site-monitoring applications,
SP(81), No. 5, May 2001, pp. 1017-1040.
Elsevier DOI 0105
BibRef

Mazzu, A.[Andrea], Chiappino, S.[Simone], Marcenaro, L.[Lucio], Regazzoni, C.S.[Carlo S.],
A track-before-detect algorithm using joint probabilistic data association filter and interacting multiple models,
ICIP14(4947-4951)
IEEE DOI 1502
BibRef
Earlier: A2, A3, A4, Only:
Selective attention automatic focus for cognitive crowd monitoring,
AVSS13(13-18)
IEEE DOI 1311
Covariance matrices video surveillance BibRef

Kosmopoulos, D.I., Doulamis, A.D., Makris, A., Doulamis, N.D., Chatzis, S.P., Middleton, S.E.,
Vision-based production of personalized video,
SP:IC(24), No. 3, March 2009, pp. 158-176.
Elsevier DOI 0903
Human identification; Tracking; Automated content production Personalized video souvenirs for tourists -- tracking people through the venue. BibRef

Gu, Z.H.[Zhi-Hui], Zhang, Y.[Yan], Chen, Y.[Yu], Chang, X.M.[Xiao-Meng],
Analysis of Attraction Features of Tourism Destinations in a Mega-City Based on Check-in Data Mining: A Case Study of Shenzhen, China,
IJGI(5), No. 11, 2016, pp. 210.
DOI Link 1612
BibRef

Lu, E.H.C.[Eric Hsueh-Chan], Fang, S.H.[Shih-Hsin], Tseng, V.S.[Vincent S.],
Integrating tourist packages and tourist attractions for personalized trip planning based on travel constraints,
GeoInfo(20), No. 4, October 2016, pp. 741-763.
WWW Link. 1610
BibRef

Domènech, A.[Antoni], Gutiérrez, A.[Aaron],
A GIS-Based Evaluation of the Effectiveness and Spatial Coverage of Public Transport Networks in Tourist Destinations,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Maeda, T.N.[Takashi Nicholas], Yoshida, M.[Mitsuo], Toriumi, F.[Fujio], Ohashi, H.[Hirotada],
Extraction of Tourist Destinations and Comparative Analysis of Preferences Between Foreign Tourists and Domestic Tourists on the Basis of Geotagged Social Media Data,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Manrique-Sancho, M.T.[María-Teresa], Avelar, S.[Silvania], Iturrioz-Aguirre, T.[Teresa], Manso-Callejo, M.Á.[Miguel-Ángel],
Using the Spatial Knowledge of Map Users to Personalize City Maps: A Case Study with Tourists in Madrid, Spain,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Han, S.S.[Shan-Shan], Ren, F.[Fu], Wu, C.[Chao], Chen, Y.[Ying], Du, Q.Y.[Qing-Yun], Ye, X.Y.[Xin-Yue],
Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,
IJGI(7), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Gu, Q.S.[Qiu-Shi], Zhang, H.P.[Hai-Ping], Chen, M.[Min], Chen, C.C.[Chong-Cheng],
Regionalization Analysis and Mapping for the Source and Sink of Tourist Flows,
IJGI(8), No. 7, 2019, pp. xx-yy.
DOI Link 1908
BibRef
And: Correction: IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Kaufmann, M.[Michael], Siegfried, P.[Patrick], Huck, L.[Lukas], Stettler, J.[Jürg],
Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer,
IJGI(8), No. 11, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Chen, W.[Wen], Xu, Z.Y.[Zhi-Yun], Zheng, X.Y.[Xiao-Yao], Luo, Y.L.[Yong-Long],
Geo-Tagged Photo Metadata Processing Method for Beijing Inbound Tourism Flow,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Zhu, X.N.[Xin-Ning], Sun, T.Y.[Tian-Yue], Yuan, H.[Hao], Hu, Z.[Zheng], Miao, J.S.[Jian-Song],
Exploring Group Movement Pattern through Cellular Data: A Case Study of Tourists in Hainan,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Rajaonarivo, L.[Landy], Fonteles, A.[André], Sallaberry, C.[Christian], Bessagnet, M.N.[Marie-Noëlle], Roose, P.[Philippe], Etcheverry, P.[Patrick], Marquesuzaà, C.[Christophe], Lacayrelle, A.L.P.[Annig Le Parc], Cayèré, C.[Cécile], Coudert, Q.[Quentin],
Recommendation of Heterogeneous Cultural Heritage Objects for the Promotion of Tourism,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Khan, N.U.[Naimat Ullah], Wan, W.[Wanggen], Yu, S.[Shui],
Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network's Data from Weibo,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Liu, C.Y.[Chun-Yang], Liu, J.P.[Ji-Ping], Xu, S.H.[Sheng-Hua], Wang, J.[Jian], Liu, C.[Chao], Chen, T.[Tianyang], Jiang, T.[Tao],
A Spatiotemporal Dilated Convolutional Generative Network for Point-Of-Interest Recommendation,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Zhang, X.[Xucai], Sun, Y.[Yeran], Zheng, A.[Anyao], Wang, Y.[Yu],
A New Approach to Refining Land Use Types: Predicting Point-of-Interest Categories Using Weibo Check-in Data,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Liao, L.[Lizi], Kennedy, L.[Lyndon], Wilcox, L.[Lynn], Chua, T.S.[Tat-Seng],
Crowd Knowledge Enhanced Multimodal Conversational Assistant in Travel Domain,
MMMod20(I:405-418).
Springer DOI 2003
BibRef

Ye, P.J.[Pei-Jun], Zhu, F.H.[Feng-Hua], Sabri, S.[Samer], Wang, F.Y.[Fei-Yue],
Consistent Population Synthesis With Multi-Social Relationships Based on Tensor Decomposition,
ITS(21), No. 5, May 2020, pp. 2180-2189.
IEEE DOI 2005
Sociology, Organizations, Tensors, Transportation, Biological system modeling, Correlation, Population synthesis, agent-based simulation BibRef

Cheng, Z., Jian, S., Rashidi, T.H., Maghrebi, M., Waller, S.T.,
Integrating Household Travel Survey and Social Media Data to Improve the Quality of OD Matrix: A Comparative Case Study,
ITS(21), No. 6, June 2020, pp. 2628-2636.
IEEE DOI 2006
Urban areas, Data models, Twitter, Data mining, High-temperature superconductors, Forestry, Twitter, Foursquare, multi-city model BibRef

Deng, Y.B.[Ying-Bin], Yan, Y.W.[Ying-Wei], Xie, Y.C.[Yi-Chun], Xu, J.H.[Jian-Hui], Jiang, H.[Hao], Chen, R.R.[Ren-Rong], Tan, R.[Runnan],
Developing Shopping and Dining Walking Indices Using POIs and Remote Sensing Data,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Rawat, Y.S., Shah, M., Kankanhalli, M.S.,
Photography and Exploration of Tourist Locations Based on Optimal Foraging Theory,
CirSysVideo(30), No. 7, July 2020, pp. 2276-2287.
IEEE DOI 2007
Animals, Photography, Social networking (online), Real-time systems, Trajectory, Computational modeling, personalization BibRef


Sun, P., Hou, R., Lynch, J.P.,
Measuring the Utilization of Public Open Spaces by Deep Learning: A Benchmark Study at the Detroit Riverfront,
WACV20(2217-2226)
IEEE DOI 2006
Cameras, Sensors, Feature extraction, Surveillance, Object detection, Machine learning, Benchmark testing BibRef

Farid, I.A., Abdul Khanan, M.F., Umar, H.A., Ismail, Z.,
Analysing Student Tourist Movement Based On The Utility Maximisation In Designing Tour Package in Johor Bahru,
GGT19(205-214).
DOI Link 1912
BibRef

Mohd, Z.H., Ujang, U.,
Integrating Multiple Criteria Evaluation and GIS in Ecotourism: A Review,
GGT16(351-354).
DOI Link 1612
BibRef

Amorim, M.[Mário], Mar, A.[Adriana], Monteiro, F.[Fernando], Sylaiou, S.[Stella], Pereira, P.[Pedro], Martins, J.[João],
Smart Tourism Routes Based on Real Time Data and Evolutionary Algorithms,
EuroMed18(I:417-426).
Springer DOI 1811
BibRef

Gallo, G., Signorello, G., Farinella, G.M., Torrisi, A.,
Exploiting Social Images to Understand Tourist Behaviour,
CIAP17(II:707-717).
Springer DOI 1711
From georeference of images on social media. From the location, understand behavior. BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Activities, Sports, Planned Activities .


Last update:Jul 10, 2020 at 16:03:35