17.1.5.7 Unattended Package, Abandoned Luggage, Left Luggage, Theft

Chapter Contents (Back)
Public Safety. Abandoned Luggage. Left Luggage. Unattended Package.
See also Tracking Animals, Animal Gait, Animal Behaviors.

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.K.[Xue-Kai], 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

Zhao, R.Y.[Rong-Yong], Cai, Y.X.[Yu-Xin], Li, M.[Miyuan], Han, C.F.[Chuan-Feng], Wei, B.Y.[Bing-Yu], Han, L.C.[Ling-Chen], Li, C.L.[Cui-Ling],
Passenger-Luggage Combined Motion Model and Abnormal State Recognition in Public Transportation Hubs,
ITS(26), No. 10, October 2025, pp. 16899-16913.
IEEE DOI 2511
Public transportation, Legged locomotion, Stability criteria, Rail transportation, Layout, Complexity theory, Airports, Accuracy, stability analysis BibRef

Ganapathyraja, R., Balamurugan, S.P.,
An intelligent video surveillance system for rapid detection of abandoned object in both indoor and outdoor environments,
IJIG(26), No. 3, 2026, pp. 330-346.
DOI Link 2605
BibRef


Leon, J.L.[Javier Lamar], Baryolo, R.A.[Raúl Alonso], Reyes, E.G.[Edel Garcia], Diaz, R.G.[Rocio Gonzalez], Salgueiro, P.[Pedro],
Abandoned Object Detection Using Persistent Homology,
CIARP23(I:178-188).
Springer DOI 2312

See also Gait-Based Carried Object Detection Using Persistent Homology. 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 .


Last update:May 24, 2026 at 14:46:09