Brodsky, T.[Tomas],
Trajkovic, M.[Miroslav],
Cohen, R.A.[Robert A.],
Lyons, D.M.[Damian M.],
Cohen-Solal, E.[Eric],
Method and apparatus to distinguish deposit and removal in
surveillance video,
US_Patent6,731,805, May 4, 2004
WWW Link.
BibRef
0405
Lu, S.J.[Si-Jun],
Zhang, J.[Jian],
Feng, D.D.[David Dagan],
Detecting unattended packages through human activity recognition and
object association,
PR(40), No. 8, August 2007, pp. 2173-2184.
Elsevier DOI
0704
BibRef
And:
An efficient method for detecting ghost and left objects in
surveillance video,
AVSBS07(540-545).
IEEE DOI
0709
BibRef
A Knowledge-Based Approach for Detecting Unattended Packages in
Surveillance Video,
AVSBS06(110-110).
IEEE DOI
0611
BibRef
And:
Classification of Moving Humans Using Eigen-Features and Support Vector
Machines,
CAIP05(522).
Springer DOI
0509
Unattended package; Human activity recognition; Eigen-features; SVM; HMM
BibRef
Ong, C.[Cahya],
Lu, S.J.[Si-Jun],
Zhang, J.[Jian],
An Approach for Enhancing the Results of Detecting Foreground Objects
and Their Moving Shadows in Surveillance Video,
DICTA08(242-249).
IEEE DOI
0812
BibRef
Kerhet, A.[Aliaksei],
Magno, M.[Michele],
Leonardi, F.[Francesco],
Boni, A.[Andrea],
Benini, L.[Luca],
A low-power wireless video sensor node for distributed object detection,
RealTimeIP(2), No. 4, December 2007, pp. 331-342.
Springer DOI
0712
BibRef
Magno, M.[Michele],
Tombari, F.[Federico],
Brunelli, D.[Davide],
di Stefano, L.[Luigi],
Benini, L.[Luca],
Multimodal Abandoned/Removed Object Detection for Low Power Video
Surveillance Systems,
AVSBS09(188-193).
IEEE DOI
0909
BibRef
Bhargava, M.[Medha],
Chen, C.C.[Chia-Chih],
Ryoo, M.S.,
Aggarwal, J.K.,
Detection of object abandonment using temporal logic,
MVA(20), No. 5, July 2009, pp. xx-yy.
Springer DOI
0906
BibRef
Earlier:
Detection of abandoned objects in crowded environments,
AVSBS07(271-276).
IEEE DOI
0709
BibRef
Chen, C.C.[Chia-Chih],
Aggarwal, J.K.,
Recognizing human action from a far field of view,
WMVC09(1-7).
IEEE DOI
0912
BibRef
Kong, H.[Hui],
Audibert, J.Y.,
Ponce, J.,
Detecting Abandoned Objects With a Moving Camera,
IP(19), No. 8, August 2010, pp. 2201-2210.
IEEE DOI
1008
BibRef
Tian, Y.L.[Ying-Li],
Feris, R.S.[Rogerio S.],
Liu, H.,
Hampapur, A.[Arun],
Sun, M.T.,
Robust Detection of Abandoned and Removed Objects in Complex
Surveillance Videos,
SMC-C(41), No. 5, September 2011, pp. 565-576.
IEEE DOI
1109
BibRef
Tian, Y.L.[Ying-Li],
Feris, R.S.[Rogerio S.],
Hampapur, A.[Arun],
Real-Time Detection of Abandoned and Removed Objects in Complex
Environments,
VS08(xx-yy).
0810
BibRef
Temizel, A.[Alptekin],
Reducing the false alarm rate in abandoned object detection,
SPIE(Newsroom), October 5, 2011
DOI Link
1110
Thermal and visible-band video makes it possible to discriminate
suspicious objects from people.
BibRef
Ferryman, J.M.[James M.],
Hogg, D.[David],
Sochman, J.[Jan],
Behera, A.[Ardhendu],
Rodriguez-Serrano, J.A.[José A.],
Worgan, S.[Simon],
Li, L.Z.[Long-Zhen],
Leung, V.[Valerie],
Evans, M.[Murray],
Cornic, P.[Philippe],
Herbin, S.[Stéphane],
Schlenger, S.[Stefan],
Dose, M.[Michael],
Robust abandoned object detection integrating wide area visual
surveillance and social context,
PRL(34), No. 7, 1 May 2013, pp. 789-798.
Elsevier DOI
1303
Wide area video surveillance; Behaviour analysis; Abandoned objects
BibRef
Elhamod, M.[Mohannad],
Levine, M.D.[Martin D.],
Automated Real-Time Detection of Potentially Suspicious Behavior
in Public Transport Areas,
ITS(14), No. 2, 2013, pp. 688-699.
IEEE DOI
1307
BibRef
Earlier:
Real-Time Semantics-Based Detection of Suspicious Activities in Public
Spaces,
CRV12(268-275).
IEEE DOI
1207
video surveillance; abandoned objects; luggage detection
BibRef
Kim, J.[Jiman],
Kim, D.J.[Dai-Jin],
Accurate abandoned and removed object classification using
hierarchical finite state machine,
IVC(44), No. 1, 2015, pp. 1-14.
Elsevier DOI
1601
BibRef
Earlier:
Static region classification using hierarchical finite state machine,
ICIP14(2358-2362)
IEEE DOI
1502
Support vector machine.
Accuracy
BibRef
Lin, C.Y.[Chih-Yang],
Muchtar, K.[Kahlil],
Yeh, C.H.[Chia-Hung],
Robust techniques for abandoned and removed object detection based on
Markov random field,
JVCIR(39), No. 1, 2016, pp. 181-195.
Elsevier DOI
1608
Abandoned object detection
BibRef
Dahi, I.[Ilias],
Chikr El Mezouar, M.[Miloud],
Taleb, N.[Nasreddine],
Elbahri, M.[Mohamed],
An edge-based method for effective abandoned luggage detection in
complex surveillance videos,
CVIU(158), No. 1, 2017, pp. 141-151.
Elsevier DOI
1704
Video surveillance
BibRef
Roy, D.[Debaditya],
Mohan, C.K.[C. Krishna],
Snatch theft detection in unconstrained surveillance videos using
action attribute modelling,
PRL(108), 2018, pp. 56-61.
Elsevier DOI
1805
Gaussian mixture model, Factor analysis, Action recognition,
Surveillance, Snatch theft detection
BibRef
Amin, F.[Fazail],
Mondal, A.[Arijit],
Mathew, J.[Jimson],
A Large Dataset With a New Framework for Abandoned Object Detection
in Complex Scenarios,
MultMedMag(28), No. 3, July 2021, pp. 75-87.
IEEE DOI
2109
Object detection, Neural networks, Complexity theory, Cameras,
Lighting, Mathematical model, Video surveillance, Event detection
BibRef
Guo, D.D.[Dan-Dan],
Tian, L.[Long],
Du, C.[Chuan],
Xie, P.F.[Peng-Fei],
Chen, B.[Bo],
Zhang, L.[Lei],
Suspicious Object Detection for Millimeter-Wave Images With
Multi-View Fusion Siamese Network,
IP(32), 2023, pp. 4088-4102.
IEEE DOI
2307
Object detection, Security, Detectors, Image segmentation,
Task analysis, Optical imaging, Imaging, MMW images, multi-view fusion
BibRef
Wang, G.[Gang],
Zhou, M.L.[Ming-Liang],
Wei, X.[Xuekai],
Yang, G.[Guang],
Vehicular Abandoned Object Detection Based on VANET and Edge AI in
Road Scenes,
ITS(24), No. 12, December 2023, pp. 14254-14266.
IEEE DOI
2312
BibRef
Clausen, S.[Sascha],
Zelenka, C.[Claudius],
Schwede, T.[Tobias],
Koch, R.[Reinhard],
Parcel Tracking by Detection in Large Camera Networks,
GCPR18(89-104).
Springer DOI
1905
Not abandonded, just lost.
Find lost parcel in sorting centers.
BibRef
Sun, J.,
Jacobs, D.W.,
Seeing What is Not There:
Learning Context to Determine Where Objects are Missing,
CVPR17(1234-1242)
IEEE DOI
1711
Computational modeling, Context modeling,
Neural networks, Training, Urban, areas
BibRef
Lawson, W.[Wallace],
Hiatt, L.[Laura],
Sullivan, K.[Keith],
Detecting Anomalous Objects on Mobile Platforms,
MoveSurveillance16(1426-1433)
IEEE DOI
1612
BibRef
Cao, C.[Chong],
Du, Y.N.[Yu-Ning],
Ai, H.Z.[Hai-Zhou],
Bag Detection and Retrieval in Street Shots,
MMMod16(I: 780-792).
Springer DOI
1601
BibRef
Thomaz, L.A.[Lucas A.],
da Silva, A.F.[Allan F.],
da Silva, E.A.B.[Eduardo A.B.],
Netto, S.L.[Sergio L.],
Bian, X.[Xiao],
Krim, H.[Hamid],
Abandoned object detection using operator-space pursuit,
ICIP15(1980-1984)
IEEE DOI
1512
Cluttered Environment; Moving Camera; Object Detection; Operator Space
BibRef
Rattanapitak, W.[Wirat],
Wangsiripitak, S.[Somkiat],
Vision-Based System for Automatic Detection of Suspicious Objects on
ATM,
CAIP15(I:570-581).
Springer DOI
1511
BibRef
Liu, W.[Wan],
Men, A.[Aidong],
Cui, Y.Y.[Yuan-Yuan],
Yang, B.[Bo],
Temporarily static object detection in surveillance video using
double foregrounds and superpixels,
VCIP14(446-449)
IEEE DOI
1504
Gaussian processes
BibRef
Du, Y.N.[Yu-Ning],
Ai, H.Z.[Hai-Zhou],
Lao, S.H.[Shi-Hong],
A Two-Stage Approach for Bag Detection in Pedestrian Images,
ACCV14(IV: 507-521).
Springer DOI
1504
BibRef
Lin, K.[Kevin],
Chen, S.C.[Shen-Chi],
Chen, C.S.[Chu-Song],
Lin, D.T.[Daw-Tung],
Hung, Y.P.[Yi-Ping],
Left-Luggage Detection from Finite-State-Machine Analysis in
Static-Camera Videos,
ICPR14(4600-4605)
IEEE DOI
1412
Adaptation models
BibRef
Kim, J.M.[Ji-Man],
Kang, B.N.[Bong-Nam],
Nonparametric state machine with multiple features for abnormal
object classification,
AVSS14(199-203)
IEEE DOI
1411
Abandonded and removed object
BibRef
Kim, J.[Jaemyun],
Rivera, A.R.[Adin Ramirez],
Ryu, B.Y.[Byung-Yong],
Ahn, K.[Kiok],
Chae, O.[Oksam],
Unattended object detection based on edge-segment distributions,
AVSS14(283-288)
IEEE DOI
1411
Computational modeling
BibRef
Murshed, M.,
Ramirez, A.,
Chae, O.,
Statistical Background Modeling:
An Edge Segment Based Moving Object Detection Approach,
AVSS10(300-306).
IEEE DOI
1009
BibRef
Tripathi, R.K.,
Jalal, A.S.,
Bhatnagar, C.,
A framework for abandoned object detection from video surveillance,
NCVPRIPG13(1-4)
IEEE DOI
1408
feature extraction
BibRef
Zweng, A.,
Beleznai, C.,
Sulzbachner, C.,
Reliable intruder detection using combined modalities of intensity,
thermal infrared and stereo depth,
AVSS15(1-6)
IEEE DOI
1511
image classification
BibRef
Beleznai, C.[Csaba],
Gemeiner, P.,
Zinner, C.,
Reliable Left Luggage Detection Using Stereo Depth and Intensity Cues,
CDC4CV13(59-66)
IEEE DOI
1403
object detection
BibRef
Fan, Q.F.[Quan-Fu],
Gabbur, P.[Prasad],
Pankanti, S.[Sharath],
Relative Attributes for Large-Scale Abandoned Object Detection,
ICCV13(2736-2743)
IEEE DOI
1403
abandoned object detection
BibRef
Dao, M.S.[Minh-Son],
Mattivi, R.[Riccardo],
de Natale, F.G.B.[Francesco G.B.],
Masui, K.[Keita],
Babaguchi, N.[Noboru],
Abandoned Object's Owner Detection: A Case Study of Hybrid Mobile-Fixed
Video Surveillance System,
AVSS12(404-409).
IEEE DOI
1211
BibRef
Fan, Q.F.[Quan-Fu],
Pankanti, S.[Sharath],
Robust Foreground and Abandonment Analysis for Large-Scale Abandoned
Object Detection in Complex Surveillance Videos,
AVSS12(58-63).
IEEE DOI
1211
BibRef
Carvajal-González, J.[Johanna],
Álvarez-Meza, A.M.[Andrés M.],
Castellanos-Domínguez, C.G.[Cesar German],
Feature Selection by Relevance Analysis for Abandoned Object
Classification,
CIARP12(837-844).
Springer DOI
1209
BibRef
Schels, J.[Johannes],
Liebelt, J.[Joerg],
Lienhart, R.[Rainer],
Self-calibrating 3D context for retrieving people with luggage,
VS11(1920-1927).
IEEE DOI
1201
BibRef
Pan, J.Y.[Ji-Yan],
Fan, Q.F.[Quan-Fu],
Pankanti, S.[Sharath],
Robust abandoned object detection using region-level analysis,
ICIP11(3597-3600).
IEEE DOI
1201
BibRef
Campos, L.C.[L. Caro],
San Miguel, J.C.[Juan Carlos],
Martinez, J.M.[José M.],
Discrimination of abandoned and stolen object based on active contours,
AVSBS11(101-106).
IEEE DOI
1111
BibRef
Lanza, A.,
Magno, M.,
Brunelli, D.,
di Stefano, L.,
Benini, L.,
Energy-aware objects abandon/removal detection,
RAWNETS11(443-448).
IEEE DOI
1111
BibRef
Fan, Q.F.[Quan-Fu],
Pankanti, S.[Sharath],
Modeling of temporarily static objects for robust abandoned object
detection in urban surveillance,
AVSBS11(36-41).
IEEE DOI
1111
BibRef
Li, X.L.[Xu-Li],
Zhang, C.[Chao],
Zhang, D.[Duo],
Abandoned Objects Detection Using Double Illumination Invariant
Foreground Masks,
ICPR10(436-439).
IEEE DOI
1008
BibRef
Wen, J.T.[Jian-Ting],
Gong, H.F.[Hai-Feng],
Zhang, X.[Xia],
Hu, W.Z.[Wen-Ze],
Generative model for abandoned object detection,
ICIP09(853-856).
IEEE DOI
0911
BibRef
Zhao, H.X.[Hui-Xi],
Yang, H.[Hua],
Zheng, S.B.[Shi-Bao],
An Efficient Method for Detecting Ghosts and Left Objects in
Intelligent Video Surveillance,
CISP09(1-6).
IEEE DOI
0910
BibRef
Singh, A.,
Sawan, S.,
Hanmandlu, M.,
Madasu, V.K.,
Lovell, B.C.,
An Abandoned Object Detection System Based on Dual Background
Segmentation,
AVSBS09(352-357).
IEEE DOI
0909
BibRef
Otoom, A.F.[Ahmed Fawzi],
Gunes, H.[Hatice],
Piccardi, M.[Massimo],
Feature extraction techniques for abandoned object classification in
video surveillance,
ICIP08(1368-1371).
IEEE DOI
0810
See also Maximum-likelihood dimensionality reduction in gaussian mixture models with an application to object classification.
BibRef
Miezianko, R.[Roland],
Pokrajac, D.[Dragoljub],
Localization of detected objects in multi-camera network,
ICIP08(2376-2379).
IEEE DOI
0810
BibRef
Miezianko, R.[Roland],
Pokrajac, D.[Dragoljub],
Detecting and Recognizing Abandoned Objects in Crowded Environments,
CVS08(xx-yy).
Springer DOI
0805
BibRef
Ferrando, S.,
Gera, G.[Gianluca],
Regazzoni, C.S.[Carlo S.],
Classification of Unattended and Stolen Objects in Video-Surveillance
System,
AVSBS06(21-21).
IEEE DOI
0611
BibRef
Spagnolo, P.,
Caroppo, A.,
Leo, M.,
Martiriggiano, T.,
d'Orazio, T.,
An Abandoned/Removed Objects Detection Algorithm and Its Evaluation on
PETS Datasets,
AVSBS06(17-17).
IEEE DOI
0611
BibRef
Atev, S.[Stefan],
Commentary Paper 1 on 'Robust Unattended and Stolen Object Detection by
Fusing Simple Algorithms',
AVSBS08(26-26).
IEEE DOI
0809
See also Robust Unattended and Stolen Object Detection by Fusing Simple Algorithms.
BibRef
Sofka, M.[Michal],
Commentary Paper 2 on 'Robust Unattended and Stolen Object Detection by
Fusing Simple Algorithms',
AVSBS08(27-28).
IEEE DOI
0809
See also Robust Unattended and Stolen Object Detection by Fusing Simple Algorithms.
BibRef
Liao, H.H.[Huei-Hung],
Chang, J.Y.[Jing-Ying],
Chen, L.G.[Liang-Gee],
A Localized Approach to Abandoned Luggage Detection with
Foreground-Mask Sampling,
AVSBS08(132-139).
IEEE DOI
0809
See also Commentary Paper 2 on A Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling.
See also Commentary Paper 1 on A Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling.
BibRef
Nicolescu, M.[Mircea],
Commentary Paper 1 on 'A Localized Approach to Abandoned Luggage
Detection with Foreground-Mask Sampling',
AVSBS08(140-141).
IEEE DOI
0809
See also Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling, A.
BibRef
Prati, A.[Andrea],
Commentary Paper 2 on 'A Localized Approach to Abandoned Luggage
Detection with Foreground-Mask Sampling',
AVSBS08(142-142).
IEEE DOI
0809
See also Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling, A.
BibRef
Atienza-Vanacloig, V.,
Rosell-Ortega, J.,
Andreu-Garcia, G.,
Valiente-Gonzalez, J.M.,
People and luggage recognition in airport surveillance under real-time
constraints,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Lv, F.J.[Feng-Jun],
Song, X.F.[Xue-Feng],
Wu, B.[Bo],
Singh, V.K.[Vivek Kumar],
Nevatia, R.[Ram],
Left-Luggage Detection using Bayesian Inference,
PETS06(xx-yy).
PDF File.
BibRef
0600
Ferrando, S.,
Gera, G.,
Massa, M.,
Regazzoni, C.S.,
A New Method for Real Time Abandoned Object Detection and Owner
Tracking,
ICIP06(3329-3332).
IEEE DOI
0610
BibRef
Beynon, M.D.,
van Hook, D.J.,
Seibert, M.,
Peacock, A.,
Dungeon, D.,
Detecting abandoned packages in a multi-camera video surveillance
system,
AVSBS03(221-228).
IEEE DOI
0310
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Human Safety, Drowning, Underwater, Home Care, Smart Home .