Chung, P.C.[Pau-Choo],
Liu, C.D.[Chin-De],
A daily behavior enabled hidden Markov model for human behavior
understanding,
PR(41), No. 5, May 2008, pp. 1589-1597.
Elsevier DOI
0711
Behavior recognition; Duration HMM; Hierarchical HMM; Context
BibRef
Ahmad, M.[Mohiuddin],
Lee, S.W.[Seong-Whan],
Human action recognition using shape and CLG-motion flow from
multi-view image sequences,
PR(41), No. 7, July 2008, pp. 2237-2252.
Elsevier DOI
0804
BibRef
And:
Recognizing human actions based on silhouette energy image and global
motion description,
FG08(1-6).
IEEE DOI
0809
BibRef
Earlier:
HMM-based Human Action Recognition Using Multiview Image Sequences,
ICPR06(I: 263-266).
IEEE DOI
0609
BibRef
And:
Human Action Recognition Using Multi-View Image Sequences Features,
FGR06(523-528).
IEEE DOI
0604
Action recognition; Action matrix; Combined local-global (CLG) optic
flow; Invariant Zernike moments; Multi-view image sequence;
Multidimensional hidden Markov model (MDHMM)
BibRef
Ahmad, M.[Mohiuddin],
Lee, S.W.[Seong-Whan],
Variable silhouette energy image representations for recognizing human
actions,
IVC(28), No. 5, May 2010, pp. 814-824.
Elsevier DOI
1003
Silhouette energy image; Action recognition; Variability action
models; Daily life actions; Global motion description
BibRef
Wang, P.[Peng],
Smeaton, A.F.[Alan F.],
Semantics-based selection of everyday concepts in visual lifelogging,
MultInfoRetr(1), No. 2, July 2012, pp. 87-101.
WWW Link.
1211
BibRef
Zhang, H.,
Zhou, W.,
Parker, L.E.,
Fuzzy Temporal Segmentation and Probabilistic Recognition of
Continuous Human Daily Activities,
HMS(45), No. 5, October 2015, pp. 598-611.
IEEE DOI
1509
Clustering algorithms
BibRef
Banerjee, T.[Tanvi],
Keller, J.M.[James M.],
Popescu, M.[Mihail],
Skubic, M.[Marjorie],
Recognizing complex instrumental activities of daily living using
scene information and fuzzy logic,
CVIU(140), No. 1, 2015, pp. 68-82.
Elsevier DOI
1509
Scene understanding
BibRef
Nguyen, T.[Thuong],
Gupta, S.I.[Sun-Il],
Venkatesh, S.[Svetha],
Phung, D.Q.[Dinh Q.],
Nonparametric discovery of movement patterns from accelerometer
signals,
PRL(70), No. 1, 2016, pp. 52-58.
Elsevier DOI
1602
Movement intensity.
Monitoring daily physical activity.
BibRef
Debes, C.,
Merentitis, A.,
Sukhanov, S.,
Niessen, M.,
Frangiadakis, N.,
Bauer, A.,
Monitoring Activities of Daily Living in Smart Homes:
Understanding human behavior,
SPMag(33), No. 2, March 2016, pp. 81-94.
IEEE DOI
1603
Accelerometers
BibRef
Yun, Y.X.[Yi-Xiao],
Gu, I.Y.H.[Irene Yu-Hua],
Riemannian manifold-valued part-based features and geodesic-induced
kernel machine for activity classification dedicated to assisted
living,
CVIU(161), No. 1, 2017, pp. 65-76.
Elsevier DOI
1708
Activity of daily living.
BibRef
Liu, L.[Li],
Wang, S.[Shu],
Peng, Y.X.[Yu-Xin],
Huang, Z.[Zigang],
Liu, M.[Ming],
Hu, B.[Bin],
Mining intricate temporal rules for recognizing complex activities of
daily living under uncertainty,
PR(60), No. 1, 2016, pp. 1015-1028.
Elsevier DOI
1609
Complex activity recognition
BibRef
Wang, P.[Peng],
Sun, L.F.[Li-Feng],
Yang, S.Q.[Shi-Qiang],
Smeaton, A.F.[Alan F.],
Gurrin, C.[Cathal],
Characterizing everyday activities from visual lifelogs based on
enhancing concept representation,
CVIU(148), No. 1, 2016, pp. 181-192.
Elsevier DOI
1606
Lifelogging
BibRef
Bolaños, M.,
Dimiccoli, M.,
Radeva, P.,
Toward Storytelling From Visual Lifelogging: An Overview,
HMS(47), No. 1, February 2017, pp. 77-90.
IEEE DOI
1702
cameras
BibRef
Poularakis, S.[Stergios],
Avgerinakis, K.[Konstantinos],
Briassouli, A.[Alexia],
Kompatsiaris, I.[Ioannis],
Efficient motion estimation methods for fast recognition of
activities of daily living,
SP:IC(53), No. 1, 2017, pp. 1-12.
Elsevier DOI
1703
BibRef
Earlier:
Computationally efficient recognition of activities of daily living,
ICIP15(247-251)
IEEE DOI
1512
Activity recognition; block matching; motion estimation
Activity recognition
BibRef
Tachos, S.[Stavros],
Avgerinakis, K.[Konstantinos],
Briassouli, A.[Alexia],
Kompatsiaris, I.[Ioannis],
Mining discriminative descriptors for goal-based activity detection,
CVIU(160), No. 1, 2017, pp. 73-86.
Elsevier DOI
1706
Activity, detection
BibRef
Zarepour, E.,
Hosseini, M.,
Kanhere, S.S.,
Sowmya, A.,
Rabiee, H.R.,
Applications and Challenges of Wearable Visual Lifeloggers,
Computer(50), No. 3, March 2017, pp. 60-69.
IEEE DOI
1704
Cameras
BibRef
Yang, P.,
Stankevicius, D.,
Marozas, V.,
Deng, Z.,
Liu, E.,
Lukosevicius, A.,
Dong, F.,
Xu, L.,
Min, G.,
Lifelogging Data Validation Model for Internet of Things Enabled
Personalized Healthcare,
SMCS(48), No. 1, January 2018, pp. 50-64.
IEEE DOI
1801
Adaptation models, Biomedical monitoring, Data models,
Internet of things, Medical services, Reliability, Uncertainty,
physical activity
BibRef
Raja, M.[Muneeba],
Exler, A.[Anja],
Hemminki, S.[Samuli],
Konomi, S.[Shin'ichi],
Sigg, S.[Stephan],
Inoue, S.[Sozo],
Towards pervasive geospatial affect perception,
GeoInfo(22), No. 1, January 2018, pp. 143-169.
Springer DOI
1802
Activity tracking using device tracks.
BibRef
Fan, C.Y.[Chen-You],
Zhang, Z.H.[Ze-Hua],
Crandall, D.J.[David J.],
Deepdiary: Lifelogging image captioning and summarization,
JVCIR(55), 2018, pp. 40-55.
Elsevier DOI
1809
Lifelogging, First-person, Image captioning, Diary, Privacy
BibRef
Wang, M.,
Luo, C.,
Ni, B.,
Yuan, J.,
Wang, J.,
Yan, S.,
First-Person Daily Activity Recognition With Manipulated Object
Proposals and Non-Linear Feature Fusion,
CirSysVideo(28), No. 10, October 2018, pp. 2946-2955.
IEEE DOI
1811
Proposals, Activity recognition, Feature extraction,
Image motion analysis, Object detection, Cameras,
feature fusion
BibRef
Welhenge, A.M.[Anuradhi Malshika],
Taparugssanagorn, A.[Attaphongse],
Human activity classification using long short-term memory network,
SIViP(13), No. 4, June 2019, pp. 651-656.
Springer DOI
1906
Activities of daily living aid healthcare.
BibRef
Ben Abdallah, F.[Fatma],
Feki, G.[Ghada],
Ben Ammar, A.[Anis],
Ben Amar, C.[Chokri],
Transfer Learning for Improving Lifelog Image Retrieval,
CAIP19(I:284-295).
Springer DOI
1909
BibRef
Takano, W.,
Annotation Generation From IMU-Based Human Whole-Body Motions in
Daily Life Behavior,
HMS(50), No. 1, February 2020, pp. 13-21.
IEEE DOI
2001
Human motion, language, probabilistic modeling
BibRef
Nan, Z.X.[Zhi-Xiong],
Shu, T.[Tianmin],
Gong, R.[Ran],
Wang, S.[Shu],
Wei, P.[Ping],
Zhu, S.C.[Song-Chun],
Zheng, N.N.[Nan-Ning],
Learning to infer human attention in daily activities,
PR(103), 2020, pp. 107314.
Elsevier DOI
2005
Human attention, Deep neural network, Attentional objects
BibRef
Yahaya, S.W.[Salisu Wada],
Lotfi, A.[Ahmad],
Mahmud, M.[Mufti],
Towards a data-driven adaptive anomaly detection system for human
activity,
PRL(145), 2021, pp. 200-207.
Elsevier DOI
2104
Anomaly detection, Activities of daily living,
Similarity measure, Forgetting factor, Ensemble model
BibRef
Maitre, J.[Julien],
Rendu, C.[Clément],
Bouchard, K.[Kévin],
Bouchard, B.[Bruno],
Gaboury, S.[Sébastien],
Object recognition in performed basic daily activities with a
handcrafted data glove prototype,
PRL(147), 2021, pp. 181-188.
Elsevier DOI
2106
Data glove, Object recognition, Basic daily activities,
Feature extraction, Machine learning, Deep learning
BibRef
Das, S.[Srijan],
Dai, R.[Rui],
Yang, D.[Di],
Bremond, F.[Francois],
VPN++: Rethinking Video-Pose Embeddings for Understanding Activities
of Daily Living,
PAMI(44), No. 12, December 2022, pp. 9703-9717.
IEEE DOI
2212
Videos, Virtual private networks, Visualization, Skeleton, Topology,
Task analysis, Trimmed videos, pose, activities of daily living, attention
BibRef
Reilly, D.[Dominick],
Das, S.[Srijan],
Just Add pi! Pose Induced Video Transformers for Understanding
Activities of Daily Living,
CVPR24(18340-18350)
IEEE DOI Code:
WWW Link.
2410
Training, Solid modeling, Sensitivity, Computational modeling,
Transformers, Skeleton, video transformers,
human pose
BibRef
Das, S.[Srijan],
Sharma, S.[Saurav],
Dai, R.[Rui],
Brémond, F.[François],
Thonnat, M.[Monique],
Vpn: Learning Video-Pose Embedding for Activities of Daily Living,
ECCV20(IX:72-90).
Springer DOI
2011
BibRef
Kim, B.H.[Byung Hyung],
Jo, S.[Sungho],
Choi, S.[Sunghee],
ALIS: Learning Affective Causality Behind Daily Activities From a
Wearable Life-Log System,
Cyber(52), No. 12, December 2022, pp. 13212-13224.
IEEE DOI
2212
Physiology, Sensors, Emotion recognition, Biomedical monitoring,
Electroencephalography, Brain modeling, Feature extraction,
wearable
BibRef
Xu, Z.M.[Zi-Min],
Wang, G.L.[Guo-Li],
Guo, X.M.[Xue-Mei],
Event-driven daily activity recognition with enhanced emergent
modeling,
PR(135), 2023, pp. 109149.
Elsevier DOI
2212
Emergent paradigm, Marker-based stigmergy,
Directed-weighted network, Activity modeling, Daily activity recognition
BibRef
Wang, W.[Wei],
Li, J.B.[Jian-Bo],
Li, Y.[Ying],
Dong, X.[Xueshi],
Predicting Activities of Daily Living for the Coming Time Period in
Smart Homes,
HMS(53), No. 1, February 2023, pp. 228-238.
IEEE DOI
2301
Sensors, Smart homes, Intelligent sensors, Predictive models,
Deep learning, Hidden Markov models, Activity recognition, smart home
BibRef
Liu, Z.G.[Zhi-Gang],
Wu, Y.[Yin],
Yin, Z.Y.[Zi-Yang],
Gao, C.L.[Chun-Lei],
Unsupervised video segmentation for multi-view daily action
recognition,
IVC(134), 2023, pp. 104687.
Elsevier DOI
2305
Video segmentation, Multi-layer representation,
Multi-view action recognition, Motion atom, Motion phrase
BibRef
Liu, Z.G.[Zhi-Gang],
Lu, B.[Bingshuo],
Wu, Y.[Yin],
Gao, C.L.[Chun-Lei],
Multi-view daily action recognition based on Hooke balanced matrix
and broad learning system,
IVC(143), 2024, pp. 104919.
Elsevier DOI
2403
Feature fusion, Broad learning system, Multi-layer methods,
Multi-view clustering, Action recognition
BibRef
Ye, Q.[Qilang],
Yu, Z.T.[Zi-Tong],
Pose-Promote: Progressive Visual Perception for Activities of Daily
Living,
SPLetters(31), 2024, pp. 2950-2954.
IEEE DOI
2411
Visualization, Feature extraction, Semantics, Protocols,
Synchronization, Convolution, Trajectory, Motion segmentation,
prior knowledge
BibRef
Nan, Z.X.[Zhi-Xiong],
Jia, L.Y.[Lei-Yu],
Xiao, B.[Bin],
HEOI: Human Attention Prediction in Natural Daily Life With
Fine-Grained Human-Environment-Object Interaction Model,
IP(34), 2025, pp. 170-182.
IEEE DOI
2501
Computational modeling, Predictive models, Head,
Resource management, Psychology, multi-granularity human cues
BibRef
Ravi, S.[Siddharth],
Climent-Perez, P.[Pau],
Morales, T.[Théo],
Huesca-Spairani, C.[Carlo],
Hashemifard, K.[Kooshan],
Florez-Revuelta, F.[Francisco],
ODIN: An OmniDirectional INdoor dataset capturing Activities of Daily
Living from multiple synchronized modalities,
OmniCV23(6488-6497)
IEEE DOI
2309
BibRef
Nagesh, N.[Nitish],
Azimi, I.[Iman],
Andriola, T.[Tom],
Rahmani, A.M.[Amir M.],
Jain, R.[Ramesh],
Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data,
MMMod23(I: 589-600).
Springer DOI
2304
BibRef
Riegler, M.A.[Michael A.],
Thambawita, V.[Vajira],
Chatterjee, A.[Ayan],
Nguyen, T.[Thu],
Hicks, S.A.[Steven A.],
Telle-Hansen, V.[Vibeke],
Pettersen, S.A.[Svein Arne],
Johansen, D.[Dag],
Jain, R.[Ramesh],
Halvorsen, P.[Pål],
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging
Dataset,
MMMod23(I: 502-514).
Springer DOI
2304
BibRef
Tran, L.D.[Ly-Duyen],
Nie, D.Y.[Dong-Yun],
Zhou, L.[Liting],
Nguyen, B.[Binh],
Gurrin, C.[Cathal],
Vaisl: Visual-aware Identification of Semantic Locations in Lifelog,
MMMod23(II: 659-670).
Springer DOI
2304
BibRef
Chen, H.M.[Hua-Mei],
Blasch, E.[Erik],
Sullivan, N.[Nichole],
Chen, G.[Genshe],
Trajectory-Based Pattern of Life Analysis,
ICIP22(2591-2595)
IEEE DOI
2211
Traffic control, Mobile handsets, Trajectory, Data mining,
Pattern analysis, Pattern of life, WAMI, traffic analysis
BibRef
Price, W.[Will],
Vondrick, C.[Carl],
Damen, D.[Dima],
UnweaveNet: Unweaving Activity Stories,
CVPR22(13760-13769)
IEEE DOI
2210
Representation learning, Instruction sets, Surveillance,
Memory management, Switches, Weaving,
Representation learning
BibRef
Xiang, W.M.[Wang-Meng],
Li, C.[Chao],
Li, K.[Ke],
Wang, B.[Biao],
Hua, X.S.[Xian-Sheng],
Zhang, L.[Lei],
CDAD: A Common Daily Action Dataset with Collected Hard Negative
Samples,
L3D-IVU22(3920-3929)
IEEE DOI
2210
Location awareness, Codes, Computational modeling, Mouth, Manuals
BibRef
Zhou, L.T.[Li-Ting],
Gurrin, C.[Cathal],
Multimodal Embedding for Lifelog Retrieval,
MMMod22(I:416-427).
Springer DOI
2203
BibRef
Tran, L.D.[Ly-Duyen],
Kennedy, D.[Diarmuid],
Zhou, L.[Liting],
Nguyen, B.[Binh],
Gurrin, C.[Cathal],
A Virtual Reality Reminiscence Interface for Personal Lifelogs,
MMMod22(II:479-484).
Springer DOI
2203
BibRef
Tran, L.D.[Ly-Duyen],
Ho, T.C.[Thanh Cong],
Pham, L.A.[Lan Anh],
Nguyen, B.[Binh],
Gurrin, C.[Cathal],
Zhou, L.[Liting],
LLQA: Lifelog Question Answering Dataset,
MMMod22(I:217-228).
Springer DOI
2203
BibRef
Palbar, T.[Tenzin],
Kesavulu, M.[Manoj],
Gurrin, C.[Cathal],
Verbruggen, R.[Renaat],
Prediction of Blood Glucose Using Contextual LifeLog Data,
MMMod22(I:404-415).
Springer DOI
2203
BibRef
Fan, L.[Lei],
Xiong, P.X.[Pei-Xi],
Wei, W.[Wei],
Wu, Y.[Ying],
FLAR: A Unified Prototype Framework for Few-sample Lifelong Active
Recognition,
ICCV21(15374-15383)
IEEE DOI
2203
Training, Visualization, Prototypes, Reinforcement learning,
Intelligent agents, Task analysis,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Zhang, H.M.[Hong-Ming],
Huo, Y.T.[Yin-Tong],
Zhao, X.R.[Xin-Ran],
Song, Y.Q.[Yang-Qiu],
Roth, D.[Dan],
Learning Contextual Causality between Daily Events from
Time-consecutive Images,
CiV21(1752-1755)
IEEE DOI
2109
Training, Visualization, Annotations,
Knowledge acquisition
BibRef
Smeaton, A.F.[Alan F.],
Krishnamurthy, N.G.[Naveen Garaga],
Suryanarayana, A.H.[Amruth Hebbasuru],
Keystroke Dynamics as Part of Lifelogging,
MMMod21(II:183-195).
Springer DOI
2106
BibRef
Nguyen, M.D.[Manh-Duy],
Nguyen, B.T.[Binh T.],
Gurrin, C.[Cathal],
Graph-based Indexing and Retrieval of Lifelog Data,
MMMod21(II:256-267).
Springer DOI
2106
BibRef
Nguyen, D.H.[Dang-Hieu],
Nguyen-Tai, T.L.[Tan-Loc],
Nguyen, M.T.[Minh-Tam],
Nguyen, T.B.[Thanh-Binh],
Dao, M.S.[Minh-Son],
MNR-AIR: An Economic and Dynamic Crowdsourcing Mechanism to Collect
Personal Lifelog and Surrounding Environment Dataset. A Case Study in
Ho Chi Minh City, Vietnam,
MMMod21(II:206-217).
Springer DOI
2106
BibRef
Tsamis, G.[Georgios],
Kostavelis, I.[Ioannis],
Giakoumis, D.[Dimitrios],
Tzovaras, D.[Dimitrios],
Towards life-long mapping of dynamic environments using temporal
persistence modeling,
ICPR21(10480-10485)
IEEE DOI
2105
Measurement, Simultaneous localization and mapping, Navigation,
Service robots, Predictive models, Probabilistic logic, Prediction algorithms
BibRef
Takahashi, M.[Masami],
Kohjima, M.[Masahiro],
Kurashima, T.[Takeshi],
Toda, H.[Hiroyuki],
Can Reinforcement Learning Lead to Healthy Life?:
Simulation Study Based on User Activity Logs,
ICPR21(4865-4872)
IEEE DOI
2105
Reinforcement learning, Data models, Planning, Timing
BibRef
Leotta, M.[Maurizio],
Fasciglione, A.[Andrea],
Verri, A.[Alessandro],
Daily Living Activity Recognition Using Wearable Devices: A
Features-rich Dataset and a Novel Approach,
CARE20(171-187).
Springer DOI
2103
BibRef
Fan, L.J.[Li-Jie],
Li, T.H.[Tian-Hong],
Yuan, Y.[Yuan],
Katabi, D.[Dina],
In-home Daily-life Captioning Using Radio Signals,
ECCV20(II:105-123).
Springer DOI
2011
BibRef
Das, S.,
Thonnat, M.,
Bremond, F.,
Looking deeper into Time for Activities of Daily Living Recognition,
WACV20(487-496)
IEEE DOI
2006
Videos, Feature extraction,
Computational modeling, Motion segmentation, Image segmentation, Solid modeling
BibRef
Giannakeris, P.[Panagiotis],
Meditskos, G.[Georgios],
Avgerinakis, K.[Konstantinos],
Vrochidis, S.[Stefanos],
Kompatsiaris, I.[Ioannis],
Real-time Recognition of Daily Actions Based on 3d Joint Movements and
Fisher Encoding,
MMMod20(II:601-613).
Springer DOI
2003
BibRef
Duane, A.[Aaron],
Gurrin, C.[Cathal],
Baseline Analysis of a Conventional and Virtual Reality Lifelog
Retrieval System,
MMMod20(II:412-423).
Springer DOI
2003
BibRef
Gurrin, C.[Cathal],
Schoeffmann, K.[Klaus],
Joho, H.[Hideo],
Munzer, B.[Bernd],
Albatal, R.[Rami],
Hopfgartner, F.[Frank],
Zhou, L.T.[Li-Ting],
Dang-Nguyen, D.T.[Duc-Tien],
A Test Collection for Interactive Lifelog Retrieval,
MMMod19(I:312-324).
Springer DOI
1901
BibRef
Duane, A.[Aaron],
Gurrin, C.[Cathal],
User Interaction for Visual Lifelog Retrieval in a Virtual Environment,
MMMod19(I:239-250).
Springer DOI
1901
BibRef
Ishikawa, H.,
Ishikawa, Y.,
Akizuki, S.,
Aoki, Y.,
Human-Object Maps for Daily Activity Recognition,
MVA19(1-6)
DOI Link
1911
image recognition, image representation, time frame,
spatio-temporal information, Signal to noise ratio
BibRef
Fouhey, D.F.,
Kuo, W.,
Efros, A.A.,
Malik, J.,
From Lifestyle VLOGs to Everyday Interactions,
CVPR18(4991-5000)
IEEE DOI
1812
Dataset, Action.
HTML Version. Videos, YouTube, Task analysis, Cameras, Internet, Benchmark testing
BibRef
Maeda, H.[Haruhisa],
Saiki, S.[Sachio],
Nakamura, M.[Masahide],
Yasuda, K.[Kiyoshi],
Log4Care: Unified Event Logging Service for Personalized Care,
DHM18(466-477).
Springer DOI
1807
BibRef
Tayyub, J.,
Hawasly, M.,
Hogg, D.C.,
Cohn, A.G.,
Learning Hierarchical Models of Complex Daily Activities from
Annotated Videos,
WACV18(1633-1641)
IEEE DOI
1806
grammars, image annotation, inference mechanisms,
learning (artificial intelligence), stochastic processes,
Videos
BibRef
Wu, T.Y.[Tz-Ying],
Chien, T.A.[Ting-An],
Chan, C.S.[Cheng-Sheng],
Hu, C.W.[Chan-Wei],
Sun, M.[Min],
Anticipating Daily Intention Using On-wrist Motion Triggered Sensing,
ICCV17(48-56)
IEEE DOI
1802
entropy, expert systems, recurrent neural nets, Policy Network, RNN,
cross-entropy loss, intelligent system, motion observation,
Visualization
BibRef
Vaquette, G.,
Orcesi, A.,
Lucat, L.,
Achard, C.,
The DAily Home LIfe Activity Dataset:
A High Semantic Activity Dataset for Online Recognition,
FG17(497-504)
IEEE DOI
1707
Dataset, Smart Home. Cameras, Databases, Protocols, Semantics, Sensors, Skeleton, Videos
BibRef
Xu, Y.D.[Yang-Di],
Bull, D.R.[David R.],
Damen, D.[Dima],
Unsupervised Long-Term Routine Modelling Using Dynamic Bayesian
Networks,
DICTA17(1-8)
IEEE DOI
1804
routine patterns for a single person from long- term visual data.
Bayes methods, belief networks, data mining, feature extraction,
image classification, image colour analysis,
Visualization
BibRef
Duane, A.[Aaron],
Gurrin, C.[Cathal],
Lifelog Exploration Prototype in Virtual Reality,
MMMod18(II:377-380).
Springer DOI
1802
BibRef
Gupta, R.[Rashmi],
Gurrin, C.[Cathal],
Approaches for Event Segmentation of Visual Lifelog Data,
MMMod18(I:581-593).
Springer DOI
1802
BibRef
Khalid, E.A.,
Radeva, P.,
Brahim, A.,
Mohammed, O.,
Using content-based image retrieval to automatically assess day
similarity in visual lifelogs,
ISCV17(1-9)
IEEE DOI
1710
Cameras, Data mining, Heuristic algorithms, Histograms,
Image color analysis, Time series analysis, Visualization, DTW, EDUB,
Lifelogging, day similarity, similarity, measure
BibRef
Hassan, E.T.,
Hasan, R.,
Shaffer, P.,
Crandall, D.,
Kapadia, A.,
Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos,
PRIV17(1333-1342)
IEEE DOI
1709
Art, Image color analysis, Image edge detection,
Image segmentation, Privacy, Semantics, Videos
BibRef
Fan, C.Y.[Chen-You],
Crandall, D.J.[David J.],
DeepDiary: Automatically Captioning Lifelogging Image Streams,
Egocentric16(I: 459-473).
Springer DOI
1611
BibRef
Crispim, C.F.,
Koperski, M.,
Cosar, S.,
Bremond, F.,
Semi-supervised understanding of complex activities from temporal
concepts,
AVSS16(80-87)
IEEE DOI
1611
Complexity theory
BibRef
Das, S.,
Dai, R.,
Koperski, M.,
Minciullo, L.,
Garattoni, L.,
Bremond, F.,
Francesca, G.,
Toyota Smarthome: Real-World Activities of Daily Living,
ICCV19(833-842)
IEEE DOI
2004
home computing, image motion analysis, image recognition,
neural nets, spatiotemporal phenomena, video signal processing,
Feature extraction
BibRef
Negin, F.,
Koperski, M.,
Crispim, C.F.,
Bremond, F.,
Cosar, S.,
Avgerinakis, K.,
A hybrid framework for online recognition of activities of daily
living in real-world settings,
AVSS16(37-43)
IEEE DOI
1611
Computational modeling;Histograms;Testing;Training;Trajectory;Videos
BibRef
Qiu, Z.W.[Zheng-Wei],
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Smeaton, A.F.[Alan F.],
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Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Egocentirc Daily Activities .