.png){kind=icon}
返回
Feature compression: A framework for multi-view multi-person tracking in visual sensor networks
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jvcir.2014.02.004.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Visual sensor networks (VSNs) consist of image sensors, embedded processors and wireless transceivers which are powered by batteries. Since the energy and bandwidth resources are limited, setting up a tracking system in VSNs is a challenging problem. In this paper, we present a framework for human tracking in VSNs. The traditional approach of sending compressed images to a central node has certain disadvantages such as decreasing the performance of further processing (i.e., tracking) because of low quality images. Instead, we propose a feature compression-based decentralized tracking framework that is better matched with the further inference goal of tracking. In our method, each camera performs feature extraction and obtains likelihood functions. By transforming to an appropriate domain and taking only the significant coefficients, these likelihood functions are compressed and this new representation is sent to the fusion node. As a result, this allows us to reduce the communication in the network without significantly affecting the tracking performance. An appropriate domain is selected by performing a comparison between well-known transforms. We have applied our method for indoor people tracking and demonstrated the superiority of our system over the traditional approach and a decentralized approach that uses Kalman filter. (C) 2014 Elsevier Inc. All rights reserved.
Keyword:
Visual sensor networks
Camera networks
Human tracking
Decentralized tracking
Communication constraints
Feature compression
Compressing likelihood functions
Bandwidth-efficient tracking
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.1
论文数:
550
被引数:
5.6K
机构
引用论文
Robust Tracking in A Camera Network: A Multi-Objective Optimization Framework摄像机网络中的鲁棒跟踪: 一个多目标优化框架
PREAI
分享收藏A voxel-based investigation of brain structure in male adolescents with autistic spectrum disorder.png)
NeuroImage
NeuroImageIF0
PREAI
分享收藏分享收藏Distributed Object Tracking Using a Cluster-Based Kalman Filter in Wireless Camera Networks在无线摄像机网络中使用基于簇的卡尔曼滤波器进行分布式目标跟踪
OAAI
OAAI分享收藏
查看更多内容