Distributed Multi-Target Tracking in Camera Networks

10/26/2020
by   Sara Casao, et al.
0

Most recent works on multi-target tracking with multiple cameras focus on centralized systems. In contrast, this paper presents a multi-target tracking approach implemented in a distributed camera network. The advantages of distributed systems lie in lighter communication management, greater robustness to failures and local decision making. On the other hand, data association and information fusion are more challenging than in a centralized setup, mostly due to the lack of global and complete information. The proposed algorithm boosts the benefits of the Distributed-Consensus Kalman Filter with the support of a re-identification network and a distributed tracker manager module to facilitate consistent information. These techniques complement each other and facilitate the cross-camera data association in a simple and effective manner. We evaluate the whole system with known public data sets under different conditions demonstrating the advantages of combining all the modules. In addition, we compare our algorithm to some existing centralized tracking methods, outperforming their behavior in terms of accuracy and bandwidth usage.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 6

page 7

04/13/2020

Distributed Multi-Target Tracking for Autonomous Vehicle Fleets

We present a scalable distributed target tracking algorithm based on the...
09/20/2017

Multi-camera Multi-Object Tracking

In this paper, we propose a pipeline for multi-target visual tracking un...
04/20/2020

Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping

Surveillance camera networks are a useful infrastructure for various vis...
01/25/2019

Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views

In this study, a multiple hypothesis tracking (MHT) algorithm for multi-...
08/16/2021

The Integrated Probabilistic Data Association Filter Adapted to Lie Groups

The Integrated Probabilistic Data Association Filter is a target trackin...
01/25/2010

Multi-camera Realtime 3D Tracking of Multiple Flying Animals

Automated tracking of animal movement allows analyses that would not oth...
01/20/2015

Distributed Data Association in Smart Camera Networks via Dual Decomposition

One of the fundamental requirements for visual surveillance using smart ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.