Video registration and face detection in an automatic multisensor surveillance system

被引：2

作者：

Ye, G ^{[1
]}

Wei, J ^{[1
]}

Pickering, MR ^{[1
]}

Frater, MR ^{[1
]}

Arnold, JF ^{[1
]}

机构：

[1] Univ New S Wales, Univ Coll, Australian Def Force Acad, Sch Elect Engn, Canberra, ACT, Australia

来源：

MULTISENSOR, MULTISOURCE INFORMATION FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS 2003 | 2003年 / 5099卷

关键词：

multisensor surveillance; multisensor video registration; hausdorff distance; face detection;

D O I：

10.1117/12.485862

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a multisensor surveillance system that consists of an optical sensor and an infrared sensor. In this system, a background subtraction method based on the zero-order statistics is presented for the moving object segmentation. Additionally, we propose an iterative method for multisensor video registration based on the robust Hausdorff distance. An, efficient face detection system is shown as an application that will have enhanced performance based on the registration and fusion of the information from the two sensors. Experimental results show the efficacy of the proposed system.

引用

页码：232 / 240

页数：9

共 50 条

[31] Automatic video object segmentation and shadow detection for surveillance applications
Yang, H
Zhang, L
Tai, HM
Wang, CJ
APPLICATIONS OF DIGITAL IMAGE PROCESSING XXVII, PTS 1AND 2, 2004, 5558 : 688 - 695
[32] Automatic Handgun Detection with Deep Learning in Video Surveillance Images
Salido, Jesus
Lomas, Vanesa
Ruiz-Santaquiteria, Jesus
Deniz, Oscar
APPLIED SCIENCES-BASEL, 2021, 11 (13):
[33] Detection of moving objects by a digital-signal-processor-based automatic video surveillance system
Stepanov, D. N.
PERCEPTION, 2006, 35 : 50 - 51
[34] Multisensor surveillance systems based on image and video data
Regazzoni, C
Varshney, P
2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS, 2002, : 497 - 500
[35] Feasibility study for the implementation of an automatic system for the detection of social interactions in the waiting area of automatic milking stations by using a video surveillance system
Guzhva, O.
Ardo, H.
Herlin, A.
Nilsson, M.
Astrom, K.
Bergsten, C.
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2016, 127 : 506 - 509
[36] Face Deduplication in Video Surveillance
Chen, Qi
Yang, Li
Zhang, Dongping
Shen, Ye
Huang, Shuying
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2018, 32 (03)
[37] Video Enhancement and Tampering Detection for Surveillance System
Sahu, Sunita
Motwani, Nirav
Talreja, Aakanksha
Varyomalani, Naman
Kundnani, Kunal
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS 2020), 2020, : 317 - 324
[38] An Efficient Strategy for Face Clustering use in Video Surveillance System
Asad, Mahim-Ul
Mustafa, Rashed
Hossain, Mohammad Shahadat
2019 JOINT 8TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV) AND 2019 3RD INTERNATIONAL CONFERENCE ON IMAGING, VISION & PATTERN RECOGNITION (ICIVPR) WITH INTERNATIONAL CONFERENCE ON ACTIVITY AND BEHAVIOR COMPUTING (ABC), 2019, : 12 - 17
[39] Human Detection and Tracking in Video Surveillance System
Sriram, K., V
Havaldar, R. H.
2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH, 2016, : 698 - 700
[40] ESUR: A SYSTEM FOR EVENTS DETECTION IN SURVEILLANCE VIDEO
Wang, Yaowei
Tian, Yonghong
Duan, Lingyu
Hu, Zhipeng
Jia, Guochen
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, : 2317 - 2320

← 1 2 3 4 5 →