Review of algorithms for Tag Detection in video sequences

被引：0

作者：

Klempous, Ryszard ^{[1
]}

Kluwak, Konrad ^{[1
]}

Nikodem, Jan ^{[1
]}

Kulbacki, Marek ^{[2
,3
]}

Segen, Jakub ^{[2
,3
]}

Kniec, Wojciech ^{[2
,3
]}

Serester, Andrea ^{[4
]}

机构：

[1] Wroclaw Univ Sci & Technol, Fac Elect, Wroclaw, Poland

[2] Polish Japanese Acad Informat Technol, R&D Ctr, Warsaw, Poland

[3] DIVE IN AI, Wroclaw, Poland

[4] Obuda Univ, Antal Bejczy Ctr Intelligent Robot, Budapest, Hungary

来源：

2018 IEEE 22ND INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS (INES 2018) | 2018年

关键词：

EMOTION RECOGNITION; PICTORIAL STRUCTURES; SURVEILLANCE; CONSTRAINTS; MOVEMENT;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Detecting moving objects in video sequences may be particularly challenging because of the characteristics of the objects, such as their size, colour, contrast, velocity and trajectory. Industrial video tagging systems should generate tags based on information inferred from video frames and learn relations between given concepts. In opposite to traditional methods such systems should effectively segment semantic objects in tagged videos, even when the image-based object detectors provide inaccurate proposals. Such systems usually base on the knowledge which is constantly updated to acquire the dynamics of the indexed concepts. In this paper we present a short review of the most importants algorithms for detection of markers in video sequences and problems related with practical applications.

引用

页码：359 / 363

页数：5

共 50 条

[41] Edge Video Analytics for Public Safety: A Review [J].

Zhang, Qingyang ;

Sun, Hui ;

Wu, Xiaopei ;

Zhong, Hong .

PROCEEDINGS OF THE IEEE, 2019, 107 (08) :1675-1696

[42] Application of Temporal Action Detection Technology in Abnormal Event Detection of Surveillance Video [J].

Lin, Chenxiang ;

Ma, Teng ;

Wu, Fei ;

Qian, Jian ;

Liao, Feilong ;

Huang, Jinaye .

IEEE ACCESS, 2025, 13 :26958-26972

[43] A Review of Factors Affecting PIT Tag Detection Using Mobile Arrays and Use of Mobile Antennas to Detect PIT-Tagged Suckers in a Wadeable Ozark Stream [J].

Zentner, Douglas L. ;

Wolf, Skylar L. ;

Brewer, Shannon K. ;

Shoup, Daniel E. .

NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT, 2021, 41 (03) :697-710

[44] Algorithm of Detection and Location of the Tag for Acousto-Magnetic Electronic Article Surveillance System [J].

Gulczynski, Adam ;

Biernacki, Jerzy .

2018 PROGRESS IN APPLIED ELECTRICAL ENGINEERING (PAEE), 2018,

[45] Tracking objects with co-occurrence matrix and particle filter in infrared video sequences [J].

Elafi, Issam ;

Jedra, Mohamed ;

Zahid, Noureddine .

IET COMPUTER VISION, 2018, 12 (05) :634-639

[46] Abnormal behaviour detection method for video surveillance applications [J].

Shatalin R.A. ;

Fidelman V.R. ;

Ovchinnikov P.E. .

Computer Optics, 2017, 41 (01) :37-45

[47] Detection of complex video events through visual rhythm [J].

Torres, Berthin S. ;

Pedrini, Helio .

VISUAL COMPUTER, 2018, 34 (02) :145-165

[48] Event Detection on Roads Using Perceptual Video Summarization [J].

Thomas, Sinnu Susan ;

Gupta, Sumana ;

Subramanian, Venkatesh K. .

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (09) :2944-2954

[49] Smart Telecare Video Monitoring for Anomalous Event Detection [J].

Gomez-Conde, I. ;

Olivieri, D. N. ;

Vila, X. A. ;

Rodriguez-Linares, L. .

SISTEMAS Y TECNOLOGIAS DE INFORMACION, 2010, :384-389

[50] 3 Video Change Detection for Fixed Wing UAVs [J].

Bartelsen, Jan ;

Mueller, Thomas ;

Ring, Jochen ;

Mueck, Klaus ;

Bruestle, Stefan ;

Erdnuess, Bastian ;

Lutz, Bastian ;

Herbst, Theresa .

TARGET AND BACKGROUND SIGNATURES III, 2017, 10432

← 1 2 3 4 5 →