Object Tracking and Anomaly Detection in Live Environment: A Survey

被引:0
|
作者
Nikam, Gitanjali Ganpatrao [1 ]
Gupta, Simon [1 ]
Chourasiya, Priya [1 ]
Yadav, Medha [1 ]
机构
[1] Natl Inst Technol, Dept Comp Applicat, Kurukshetra, Haryana, India
关键词
Anomaly detection; Pattern recognition; Oddity Identification; Bayesian system;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Numerous strategies are executed for the identification of peculiarities on the framework. Irregularities based strategies are looking at as proficient from that client purpose based methodology is favored for the Usage of oddity recognition. Presently multi day's decent variety of abnormality strategies are accessible In view of this, it is difficult to think about these strategies. To know this, diverse abnormality Identification is checked on and make a nitty-gritty examination in this. This paper contains examination consider of various oddity discovery strategies. Interruption perception has gained a wide consideration and turns into a gainful field for different looks into, and as yet is the subject of all-inclusive intrigue by specialists. The interruption recognition network still stands up to troublesome circumstance even after numerous long periods of research. Decreasing the tremendous number of wrong cautions all through the procedure of recognizing obscure assault designs stays vague issue. In any case, different research results as of late have appeared there are potential answers for this issue. Inconsistency identification is a key issue of interruption recognition in which Irritations of ordinary conduct determine an appearance of planned or unintended impact assaults, flaw, deformities, and others. This paper displays an outline of research bearings for applying composed and disorderly strategies to handle the issue of inconsistency discovery. The references referred to will cover the huge hypothetical issues lead the analyst in fascinating examination bearings.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Object Detection and Tracking - A Survey
    Reddy, K. Rasool
    Priya, K. Hari
    Neelima, N.
    2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN), 2015, : 418 - 421
  • [2] Camouflaged Object Detection and Tracking: A Survey
    Mondal, Ajoy
    INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2020, 20 (04)
  • [3] OBJECT TRACKING AND ANOMALY DETECTION IN FULL MOTION VIDEO
    Zakharov, Igor
    Ma, Yue
    Henschel, Michael D.
    Bennett, John
    Parsons, Garrett
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 7910 - 7913
  • [4] Object Detection and Tracking in Crowd Environment - A Review
    Kumaran, N.
    Reddy, U. Srinivasulu
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS (ICICI 2017), 2017, : 777 - 782
  • [5] Real-time multiple object tracking and anomaly detection
    Han, M
    Gong, YH
    STORAGE AND RETRIEVAL METHODS AND APPLICATIONS FOR MULTIMEDIA 2005, 2005, 5682 : 173 - 182
  • [6] A Survey on Object Detection, Annotation and Anomaly Detection Methods for Endoscopic Videos
    Chheda, Tejas
    Koppaka, Soumya
    Iyer, Rithvika
    Kalbande, Dhananjay
    PROCEEDINGS OF THE 2020 5TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND SECURITY (ICCCS-2020), 2020,
  • [7] Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey
    Prasad, Dilip K.
    Rajan, Deepu
    Rachmawati, Lily
    Rajabally, Eshan
    Quek, Chai
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (08) : 1993 - 2016
  • [8] Object tracking: A survey
    Yilmaz, Alper
    Javed, Omar
    Shah, Mubarak
    ACM COMPUTING SURVEYS, 2006, 38 (04)
  • [9] Approaches to Video Real time Multi-Object Tracking and Object Detection: A survey
    Bouraya, Sara
    Belangour, Abdessamad
    PROCEEDINGS OF THE 12TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2021), 2021, : 145 - 151
  • [10] Live Object Monitoring, Detection and Tracking Using Mean Shift and Particle Filters
    Sangale, S. P.
    Rahane, S. B.
    2016 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT), VOL 3, 2015, : 785 - 790