Real-time object entity detection system for smart surveillance application

被引：1

作者：

Ko, K. E. ^{[1
]}

Sim, K. B. ^{[1
]}

机构：

[1] Chung Ang Univ, Sch Elect & Elect Engn, Lab Ubiquitous Robot & Intelligent Informat Robot, Seoul, South Korea

来源：

ELECTRONICS LETTERS | 2017年 / 53卷 / 19期

关键词：

object detection; surveillance; real-time object entity detection system; smart surveillance application; unified framework; additional training process; benchmark dataset; precision performance; state-of-the-art object detection speed;

D O I：

10.1049/el.2017.1532

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：

A real-time scheme for detecting object entities in real-time among a set of objects contained in the same class category is proposed. Building a unified framework for real-time object entity detection system without an additional training process to distinguish the object entities while minimising the loss of accuracy is focused. The experimental results on a benchmark dataset demonstrate that the method shows outstanding precision performance while achieving state-of-the-art object detection speed.

引用

页码：1304 / 1306

页数：2

共 50 条

[31] Adaptive change detection for real-time surveillance applications
Huwer, S
Niemann, H
THIRD IEEE INTERNATIONAL WORKSHOP ON VISUAL SURVEILLANCE, PROCEEDINGS, 2000, : 37 - 45
[32] Turnstile Jumping Detection in Real-Time Video Surveillance
Huy Hoang Nguyen
Thi Nhung Ta
IMAGE AND VIDEO TECHNOLOGY (PSIVT 2019), 2019, 11854 : 390 - 403
[33] An Edge-based Real-Time Object Detection
Ahmadinia, Ali
Shah, Jaabaal
2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, 2022, : 465 - 470
[34] Evolutionary channel pruning for real-time object detection
Yang, Changcai
Lin, Zhijie
Lan, Ziyang
Chen, Riqing
Wei, Lifang
Liu, Yizhang
KNOWLEDGE-BASED SYSTEMS, 2024, 287
[35] Risk-aware Real-time Object Detection
Santana, Misael Alpizar
Calinescu, Radu
Paterson, Colin
2022 18TH EUROPEAN DEPENDABLE COMPUTING CONFERENCE (EDCC 2022), 2022, : 105 - 108
[36] An Efficient Real-Time FPGA Implementation for Object Detection
Zhao, Jin
Huang, Xinming
Massoud, Yehia
2014 IEEE 12TH INTERNATIONAL NEW CIRCUITS AND SYSTEMS CONFERENCE (NEWCAS), 2014, : 313 - 316
[37] Near Real-time Object Detection in RGBD Data
Haensch, Ronny
Kaiser, Stefan
Helwich, Olaf
PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 5, 2017, : 179 - 186
[38] Improve Real-time Object Detection with Feature Enhancement
Wei, Wendian
Hu, Yu
PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019), 2019, : 235 - 238
[39] Towards Real-Time Object Detection on Embedded Systems
Mao, Huizi
Yao, Song
Tang, Tianqi
Li, Boxun
Yao, Jun
Wang, Yu
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, 2018, 6 (03) : 417 - 431
[40] Performance Evaluation of Real-Time Object Detection Algorithms
Srisuk, Sanun
Suwannapong, Chanwit
Kitisriworapan, Songrit
Kaewsong, Apiwut
Ongkittikul, Surachai
2019 7TH INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON 2019), 2019,

← 1 2 3 4 5 →