Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks

Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks

Camera node perception capability is one of the crucial issues for visual sensor networks, which belongs to the field of Internet of Things. Multi-object tracking is an important feature in analyzing object trajectories across multiple cameras, thus allowing synthesis of data and security analysis o...

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Bibliographic Details
Main Authors: Xiaoyan Jiang, Zhijun Fang, Neal N. Xiong, Yongbin Gao, Bo Huang, Juan Zhang, Lei Yu, Patrick Harrington
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Data fusion
graph theory
Internet of Things
particle filters
visual sensor networks
Online Access:https://ieeexplore.ieee.org/document/8307067/

Internet

https://ieeexplore.ieee.org/document/8307067/

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