A distributed approach for real-time multi-camera multiple object tracking

被引：5

作者：

Previtali, Fabio ^{[1
]}

Bloisi, Domenico D. ^{[1
]}

Iocchi, Luca ^{[1
]}

机构：

[1] Sapienza Univ Rome, Dept Comp Control & Management Engn A Ruberti, Via Ariosto 25, I-00185 Rome, Italy

来源：

MACHINE VISION AND APPLICATIONS | 2017年 / 28卷 / 3-4期

关键词：

Distributed multiple object tracking; Real-time data processing; Distributed data association; MULTIOBJECT TRACKING; PARTICLE FILTER; SURVEILLANCE;

D O I：

10.1007/s00138-017-0827-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Estimating the positions of a set of moving objects captured from a network of cameras is still an open problem in Computer Vision. In this paper, a distributed and real-time approach for tracking multiple objects on multiple cameras is presented. A quantitative comparison with six state-of-the-art methods has been carried out on the publicly available PETS 2009 data set, demonstrating the effectiveness of the algorithm. Moreover, the proposed method has been tested also on a multi-camera soccer data set, showing its data fusion capabilities.

引用

页码：421 / 430

页数：10

共 50 条

[41] Multi-camera calibration, object tracking and query generation
Porikli, F
Divakaran, A
[J]. 2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL I, PROCEEDINGS, 2003, : 653 - 656
[42] A STATISTICAL METHOD FOR OBJECT LOCALIZATION IN MULTI-CAMERA TRACKING
Havasi, Laszlo
Szlavik, Zoltan
[J]. 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, : 3925 - 3928
[43] REAL-TIME MULTIPLE OBJECT HOLOGRAPHIC TRACKING
LIU, HK
DIEP, J
DAVIS, JA
LILLY, RA
[J]. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1986, 3 (13): : P116 - P116
[44] Tracking multiple people with a multi-camera system
Chang, TH
Gong, SG
[J]. 2001 IEEE WORKSHOP ON MULTI-OBJECT TRACKING, PROCEEDINGS, 2001, : 19 - 26
[45] Real-time tracking of multiple moving object contours in a moving camera image sequence
Araki, S
Matsuoka, T
Yokoya, N
Takemura, H
[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2000, E83D (07): : 1583 - 1591
[46] Machine-Learning-Based Real-Time Multi-Camera Vehicle Tracking and Travel-Time Estimation
Huang, Xiaohui
He, Pan
Rangarajan, Anand
Ranka, Sanjay
[J]. JOURNAL OF IMAGING, 2022, 8 (04)
[47] Multi-camera invariant appearance modeling for non-rigid object identification in a real-time environment
Lin, Chih-Yang
Kang, Li-Wei
Kao, Jau-Hong
Lu, Chun-Shien
Wu, Yi-Ta
[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2013, 24 (06) : 717 - 728
[48] Real-time object tracking from a moving video camera: A software approach on a PC
Rosenberg, Y
Werman, M
[J]. FOURTH IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION - WACV'98, PROCEEDINGS, 1998, : 238 - 239
[49] Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection
Peri, Neehar
Khorramshahi, Pirazh
Rambhatla, Sai Saketh
Shenoy, Vineet
Rawat, Saumya
Chen, Jun-Cheng
Chellappa, Rama
[J]. 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), 2020, : 2648 - 2657
[50] Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles
Pha Nguyen
Kha Gia Quach
Chi Nhan Duong
Ngan Le
Xuan-Bac Nguyen
Khoa Luu
[J]. 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022, 2022, : 2568 - 2577

← 1 2 3 4 5 →